path: root/python-syft.spec

%global _empty_manifest_terminate_build 0
Name:		python-syft
Version:	0.8.0.post2
Release:	1
Summary:	Perform numpy-like analysis on data that remains in someone elses server
License:	Apache-2.0
URL:		https://openmined.github.io/PySyft/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bd/05/e9cf0be923f524ef94c35efdcc959fafb0892f0841d8e3fa868d349fe42c/syft-0.8.0.post2.tar.gz
BuildArch:	noarch

Requires:	python3-astunparse
Requires:	python3-bcrypt
Requires:	python3-flax
Requires:	python3-forbiddenfruit
Requires:	python3-gevent
Requires:	python3-gipc
Requires:	python3-jax
Requires:	python3-jaxlib
Requires:	python3-loguru
Requires:	python3-numpy
Requires:	python3-opendp
Requires:	python3-packaging
Requires:	python3-pandas
Requires:	python3-pyarrow
Requires:	python3-pycapnp
Requires:	python3-pydantic[email]
Requires:	python3-pymongo
Requires:	python3-pynacl
Requires:	python3-redis
Requires:	python3-requests
Requires:	python3-RestrictedPython
Requires:	python3-result
Requires:	python3-tqdm
Requires:	python3-typeguard
Requires:	python3-typing-extensions
Requires:	python3-sherlock[filelock,redis]
Requires:	python3-uvicorn[standard]
Requires:	python3-fastapi
Requires:	python3-hagrid
Requires:	python3-opentelemetry-api
Requires:	python3-opentelemetry-sdk
Requires:	python3-opentelemetry-exporter-jaeger
Requires:	python3-opentelemetry-instrumentation
Requires:	python3-opentelemetry-instrumentation-requests
Requires:	python3-pytest
Requires:	python3-pytest-cov
Requires:	python3-pytest-xdist[psutil]
Requires:	python3-pytest-parallel
Requires:	python3-pytest-asyncio
Requires:	python3-pytest-randomly
Requires:	python3-pytest-sugar
Requires:	python3-pytest-mock-resources
Requires:	python3-on-whales
Requires:	python3-pytest-lazy-fixture
Requires:	python3-pytest-rerunfailures
Requires:	python3-coverage
Requires:	python3-joblib
Requires:	python3-faker
Requires:	python3-bandit
Requires:	python3-ruff
Requires:	python3-importlib-metadata
Requires:	python3-isort
Requires:	python3-mypy
Requires:	python3-pre-commit
Requires:	python3-safety
Requires:	python3-pyoblv
Requires:	python3-pytest
Requires:	python3-pytest-cov
Requires:	python3-pytest-xdist[psutil]
Requires:	python3-pytest-parallel
Requires:	python3-pytest-asyncio
Requires:	python3-pytest-randomly
Requires:	python3-pytest-sugar
Requires:	python3-pytest-mock-resources
Requires:	python3-on-whales
Requires:	python3-pytest-lazy-fixture
Requires:	python3-pytest-rerunfailures
Requires:	python3-coverage
Requires:	python3-joblib
Requires:	python3-faker

%description
<div align="left"> <a href="https://pypi.org/project/syft/"><img src="https://pepy.tech/badge/syft" /></a> <a href="https://pypi.org/project/syft/"><img src="https://badge.fury.io/py/syft.svg" /></a> <a href="https://hub.docker.com/u/openmined"><img src="https://img.shields.io/badge/docker-images-blue?logo=docker" /></a> <a href="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml"><img src="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml/badge.svg?branch=dev" /></a> <a href="https://slack.openmined.org/"><img src="https://img.shields.io/badge/chat-on%20slack-purple?logo=slack" /></a> <a href="https://openmined.github.io/PySyft/"><img src="https://img.shields.io/badge/read-docs-yellow?logo=mdbook" /></a>
<br /><br /></div>

<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/title_syft_light.png" width="200px" />

Perform `numpy`-like analysis on `data` that remains in `someone else's` server

<div align="left">
<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/header.png" alt="Syft Overview" width="100%" />
</div>

# Quickstart

✅ `Linux` ✅ `macOS`\* ✅ `Windows`†‡

## Install syft on Python 3.9 - 3.10

```bash
$ pip install -U syft -f https://whls.blob.core.windows.net/unstable/index.html
```

## Launch a python dev Domain

```python
# from Jupyter / Python
import syft as sy
sy.requires(">=0.8,<0.8.1")
node = sy.orchestra.launch(name="my-domain", port=8080, dev_mode=True, reset=True)
```

```bash
# or from the command line
$ syft launch --name=my-domain --port=8080 --reset=True

Starting syft-node server on 0.0.0.0:8080
```

## Connect with our Python Client

```python
import syft as sy
sy.requires(">=0.8,<0.8.1")
domain_client = sy.login(port=8080, email="info@openmined.org", password="changethis")
```

## Deploy to a Container Engine or Cloud

1. Install our handy 🛵 cli tool which makes deploying a Domain or Gateway server a one-liner:  
   `pip install -U hagrid`

2. Then run our interactive jupyter Install 🧙🏽‍♂️ Wizard<sup>BETA</sup>:  
   `hagrid quickstart`

3. In the tutorial you will learn how to install and deploy:  
   `PySyft` = our `numpy`-like 🐍 Python library for computing on `private data` in someone else's `Domain`

   `PyGrid` = our 🐳 `docker` / 🐧 `vm` `Domain` & `Gateway` Servers where `private data` lives

4. During quickstart we will deploy `PyGrid` to localhost with 🐳 `docker`, however 🛵 HAGrid can deploy to `podman` or a 🐧 `ubuntu` VM on `azure` / `gcp` / `ANY_IP_ADDRESS` by using 🔨 `ansible`†

## Docs and Support

- 📝 <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api">API Example Notebooks</a>
- 📚 <a href="https://openmined.github.io/PySyft/">Docs</a>
- `#support` on <a href="https://slack.openmined.org/">Slack</a>

# Install Notes

- HAGrid 0.3 Requires: 🐍 `python` 🐙 `git` - Run: `pip install -U hagrid`
- Interactive Install 🧙🏽‍♂️ Wizard<sup>BETA</sup> Requires 🛵 `hagrid`: - Run: `hagrid quickstart`  
  †`Windows` does not support `ansible`, preventing some remote deployment targets
- PySyft 0.8 Requires: 🐍 `python 3.10` - Run: `pip install -U syft`  
  \*`macOS` Apple Silicon users might need cmake: `brew install cmake`  
  ‡`Windows` users must run this first: `pip install jaxlib==0.3.14 -f https://whls.blob.core.windows.net/unstable/index.html`
- PyGrid Requires: 🐳 `docker` or 🐧 `ubuntu` VM - Run: `hagrid launch ...`

# Versions

`0.9.0` (Beta) - `dev` branch 👈🏽 <a href="https://github.com/OpenMined/PySyft/blob/dev/notebooks/api/0.9">API</a>  
`0.8.0` (Stable) - <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api/0.8">API</a>

Deprecated:

- `0.7.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science-dev">Course 3 Updated</a>
- `0.6.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science">Course 3</a>
- `0.5.1` - <a href="https://github.com/OpenMined/courses/tree/foundations-of-private-computation">Course 2</a> + M1 Hotfix
- `0.2.0` - `0.5.0`

PySyft and PyGrid use the same `version` and its best to match them up where possible. We release weekly betas which can be used in each context:

PySyft (Stable): `pip install -U syft`  
PyGrid (Stable) `hagrid launch ... tag=latest`

PySyft (Beta): `pip install -U syft --pre`  
PyGrid (Beta): `hagrid launch ... tag=beta`

HAGrid is a cli / deployment tool so the latest version of `hagrid` is usually the best.

# What is Syft?

<img align="right" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_big.png" alt="Syft" height="250" style="padding-left:30px;">

`Syft` is OpenMined's `open source` stack that provides `secure` and `private` Data Science in Python. Syft decouples `private data` from model training, using techniques like [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy), and [Encrypted Computation](https://en.wikipedia.org/wiki/Homomorphic_encryption). This is done with a `numpy`-like interface and integration with `Deep Learning` frameworks, so that you as a `Data Scientist` can maintain your current workflow while using these new `privacy-enhancing techniques`.

### Why should I use Syft?

`Syft` allows a `Data Scientist` to ask `questions` about a `dataset` and, within `privacy limits` set by the `data owner`, get `answers` to those `questions`, all without obtaining a `copy` of the data itself. We call this process `Remote Data Science`. It means in a wide variety of `domains` across society, the current `risks` of sharing information (`copying` data) with someone such as, privacy invasion, IP theft and blackmail will no longer prevent the vast `benefits` such as innovation, insights and scientific discovery which secure access will provide.

No more cold calls to get `access` to a dataset. No more weeks of `wait times` to get a `result` on your `query`. It also means `1000x more data` in every domain. PySyft opens the doors to a streamlined Data Scientist `workflow`, all with the individual's `privacy` at its heart.

# Tutorials

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataowner.png" alt="" width="100" height="100" align="center">
<p>Data Owner</p></div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/datascientist.png" alt="" width="100" height="100" align="center">
<p>Data Scientist</p></div>

</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataengineer.png" alt="" width="100" height="100" align="center">
<p>Data Engineer</p>
</div>
</th>
</tr>
<tr>
<td valign="top">

- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/00-deploy-domain.ipynb">Deploy a Domain Server</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/01-upload-data.ipynb">Upload Private Data</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/02-create-account-configure-pb.ipynb">Create Accounts</a>
- Manage Privacy Budget</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/03-join-network.ipynb">Join a Network</a>
- Learn how PETs streamline Data Policies

</td>
<td valign="top">

- Install Syft</a>
- Connect to a Domain</a>
- Search for Datasets</a>
- Train Models
- Retrieve Secure Results
- Learn Differential Privacy

</td>
<td valign="top">

- Setup Dev Mode</a>
- Deploy to Azure
- Deploy to GCP
- Deploy to Kubernetes
- Customize Networking
- Modify PyGrid UI
</td>
</tr>
</table>

# Terminology

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<p>👨🏻‍💼 Data Owners</p>
</th>
<th align="center">
<img width="441" height="1">
<p>👩🏽‍🔬 Data Scientists</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provide `datasets` which they would like to make available for `study` by an `outside party` they may or may not `fully trust` has good intentions.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Are end `users` who desire to perform `computations` or `answer` a specific `question` using one or more data owners' `datasets`.

</td>
</tr>
<tr>
<th align="center">
<img width="441" height="1">
<p>🏰 Domain Server</p>
</th>
<th align="center">
<img width="441" height="1">
<p>🔗 Gateway Server</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Manages the `remote study` of the data by a `Data Scientist` and allows the `Data Owner` to manage the `data` and control the `privacy guarantees` of the subjects under study. It also acts as a `gatekeeper` for the `Data Scientist's` access to the data to compute and experiment with the results.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provides services to a group of `Data Owners` and `Data Scientists`, such as dataset `search` and bulk `project approval` (legal / technical) to participate in a project. A gateway server acts as a bridge between it's members (`Domains`) and their subscribers (`Data Scientists`) and can provide access to a collection of `domains` at once.</td>

</tr>
<tr>
</table>

# Community

<table border="5" bordercolor="grey">
<tr>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack_title_light.png" alt="" width="100%" align="center" />

<a href="https://slack.openmined.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack.png" alt="" width="100%" align="center" /></a>

</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_title_videos_papers_light.png" alt="" width="100%" align="center" />

<p align="left"><sub><sup>
🎥 <a href="https://www.youtube.com/watch?v=qVf0tPBzr2k">PETs: Remote Data Science Unleashed - R gov 2021</a><br />
🎥 <a href="https://youtu.be/sCoDWKTbh3s?list=PL_lsbAsL_o2BQKXG7mkGFA8LSApCnhljL">Introduction to Remote Data Science - PyTorch 2021</a><br />
🎥 <a href="https://youtu.be/kzLeTz_vIeQ?list=PL_lsbAsL_o2BtOz6KUfUI_Zla6Rg5dmyc">The Future of AI Tools - PyTorch 2020</a><br />
🎥 <a href="https://www.youtube.com/watch?v=4zrU54VIK6k&t=1s">Privacy Preserving AI - MIT Deep Learning Series</a><br />
🎥 <a href="https://www.youtube.com/watch?v=Pr4erdusiW0">Privacy-Preserving Data Science - TWiML Talk #241</a><br />
🎥 <a href="https://www.youtube.com/watch?v=NJBBE_SN90A">Privacy Preserving AI - PyTorch Devcon 2019</a><br />
📖 <a href="https://arxiv.org/pdf/2110.01315.pdf">Towards general-purpose infrastructure for protect...</a><br />
📖 <a href="https://arxiv.org/pdf/2104.12385.pdf">Syft 0.5: A platform for universally deployable ...</a><br />
📖 <a href="https://arxiv.org/pdf/1811.04017.pdf">A generic framework for privacy preserving deep ...</a>
</sup></sup></p>
</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan_title_light.png" alt="" width="100%" align="center" />

<a href="https://blog.openmined.org/work-on-ais-most-exciting-frontier-no-phd-required/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan.png" alt="" width="100%" align="center"></a>

</div>
</th>
</tr>
</table>

# Courses

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/our-privacy-opportunity"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_privacy.png" alt="" width="100%" align="center" /></a>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/foundations-of-private-computation"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_foundations.png" alt="" width="100%" align="center" /></a>
</div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/introduction-to-remote-data-science"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_introduction.png" alt="" width="100%" align="center"></a>
</div>
</th>
</tr>
</table>

# Contributors

OpenMined and Syft appreciates all contributors, if you would like to fix a bug or suggest a new feature, please see our [guidelines](https://openmined.github.io/PySyft/developer_guide/index.html).<br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/contributors_light.jpg" alt="Contributors" width="100%" />

# Supporters

<table border="0">
<tr>
<th align="center">
<a href="https://sloan.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_sloan.png" /></a>
</th>
<th align="center">
<a href="https://opensource.fb.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_meta.png" /></a>
</th>
<th align="center">
<a href="https://pytorch.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_torch.png" /></a>
</th>
<th align="center">
<a href="https://www.udacity.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_udacity.png" /></a>
</th>
<th align="center">
<a href="https://summerofcode.withgoogle.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsoc.png" /></a>
</th>
<th align="center">
<a href="https://developers.google.com/season-of-docs"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsod.png" /></a>
</th>
<th align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_arkhn_light.png" />

</th>
<th align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_cape_light.png" />
</th>
<th align="center">
<a href="https://begin.ai/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_begin.png" /></a>
</th>
</tr>
</table>

# Open Collective

`OpenMined` is a fiscally sponsored `501(c)(3)` in the USA. We are funded by our generous supporters on <a href="https://opencollective.com/openmined">Open Collective</a>. <br /><br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/opencollective_light.png" alt="Contributors" width="100%" />

# Disclaimer

Syft is under active development and is not yet ready for pilots on private data without our assistance. As early access participants, please contact us via [Slack](https://slack.openmined.org/) or email if you would like to ask a question or have a use case that you would like to discuss.

# License

[Apache License 2.0](LICENSE)<br />
<a href="https://www.flaticon.com/free-icons/person" title="person icons">Person icons created by Freepik - Flaticon</a>

<!-- 🥇 -->


%package -n python3-syft
Summary:	Perform numpy-like analysis on data that remains in someone elses server
Provides:	python-syft
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-syft
<div align="left"> <a href="https://pypi.org/project/syft/"><img src="https://pepy.tech/badge/syft" /></a> <a href="https://pypi.org/project/syft/"><img src="https://badge.fury.io/py/syft.svg" /></a> <a href="https://hub.docker.com/u/openmined"><img src="https://img.shields.io/badge/docker-images-blue?logo=docker" /></a> <a href="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml"><img src="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml/badge.svg?branch=dev" /></a> <a href="https://slack.openmined.org/"><img src="https://img.shields.io/badge/chat-on%20slack-purple?logo=slack" /></a> <a href="https://openmined.github.io/PySyft/"><img src="https://img.shields.io/badge/read-docs-yellow?logo=mdbook" /></a>
<br /><br /></div>

<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/title_syft_light.png" width="200px" />

Perform `numpy`-like analysis on `data` that remains in `someone else's` server

<div align="left">
<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/header.png" alt="Syft Overview" width="100%" />
</div>

# Quickstart

✅ `Linux` ✅ `macOS`\* ✅ `Windows`†‡

## Install syft on Python 3.9 - 3.10

```bash
$ pip install -U syft -f https://whls.blob.core.windows.net/unstable/index.html
```

## Launch a python dev Domain

```python
# from Jupyter / Python
import syft as sy
sy.requires(">=0.8,<0.8.1")
node = sy.orchestra.launch(name="my-domain", port=8080, dev_mode=True, reset=True)
```

```bash
# or from the command line
$ syft launch --name=my-domain --port=8080 --reset=True

Starting syft-node server on 0.0.0.0:8080
```

## Connect with our Python Client

```python
import syft as sy
sy.requires(">=0.8,<0.8.1")
domain_client = sy.login(port=8080, email="info@openmined.org", password="changethis")
```

## Deploy to a Container Engine or Cloud

1. Install our handy 🛵 cli tool which makes deploying a Domain or Gateway server a one-liner:  
   `pip install -U hagrid`

2. Then run our interactive jupyter Install 🧙🏽‍♂️ Wizard<sup>BETA</sup>:  
   `hagrid quickstart`

3. In the tutorial you will learn how to install and deploy:  
   `PySyft` = our `numpy`-like 🐍 Python library for computing on `private data` in someone else's `Domain`

   `PyGrid` = our 🐳 `docker` / 🐧 `vm` `Domain` & `Gateway` Servers where `private data` lives

4. During quickstart we will deploy `PyGrid` to localhost with 🐳 `docker`, however 🛵 HAGrid can deploy to `podman` or a 🐧 `ubuntu` VM on `azure` / `gcp` / `ANY_IP_ADDRESS` by using 🔨 `ansible`†

## Docs and Support

- 📝 <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api">API Example Notebooks</a>
- 📚 <a href="https://openmined.github.io/PySyft/">Docs</a>
- `#support` on <a href="https://slack.openmined.org/">Slack</a>

# Install Notes

- HAGrid 0.3 Requires: 🐍 `python` 🐙 `git` - Run: `pip install -U hagrid`
- Interactive Install 🧙🏽‍♂️ Wizard<sup>BETA</sup> Requires 🛵 `hagrid`: - Run: `hagrid quickstart`  
  †`Windows` does not support `ansible`, preventing some remote deployment targets
- PySyft 0.8 Requires: 🐍 `python 3.10` - Run: `pip install -U syft`  
  \*`macOS` Apple Silicon users might need cmake: `brew install cmake`  
  ‡`Windows` users must run this first: `pip install jaxlib==0.3.14 -f https://whls.blob.core.windows.net/unstable/index.html`
- PyGrid Requires: 🐳 `docker` or 🐧 `ubuntu` VM - Run: `hagrid launch ...`

# Versions

`0.9.0` (Beta) - `dev` branch 👈🏽 <a href="https://github.com/OpenMined/PySyft/blob/dev/notebooks/api/0.9">API</a>  
`0.8.0` (Stable) - <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api/0.8">API</a>

Deprecated:

- `0.7.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science-dev">Course 3 Updated</a>
- `0.6.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science">Course 3</a>
- `0.5.1` - <a href="https://github.com/OpenMined/courses/tree/foundations-of-private-computation">Course 2</a> + M1 Hotfix
- `0.2.0` - `0.5.0`

PySyft and PyGrid use the same `version` and its best to match them up where possible. We release weekly betas which can be used in each context:

PySyft (Stable): `pip install -U syft`  
PyGrid (Stable) `hagrid launch ... tag=latest`

PySyft (Beta): `pip install -U syft --pre`  
PyGrid (Beta): `hagrid launch ... tag=beta`

HAGrid is a cli / deployment tool so the latest version of `hagrid` is usually the best.

# What is Syft?

<img align="right" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_big.png" alt="Syft" height="250" style="padding-left:30px;">

`Syft` is OpenMined's `open source` stack that provides `secure` and `private` Data Science in Python. Syft decouples `private data` from model training, using techniques like [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy), and [Encrypted Computation](https://en.wikipedia.org/wiki/Homomorphic_encryption). This is done with a `numpy`-like interface and integration with `Deep Learning` frameworks, so that you as a `Data Scientist` can maintain your current workflow while using these new `privacy-enhancing techniques`.

### Why should I use Syft?

`Syft` allows a `Data Scientist` to ask `questions` about a `dataset` and, within `privacy limits` set by the `data owner`, get `answers` to those `questions`, all without obtaining a `copy` of the data itself. We call this process `Remote Data Science`. It means in a wide variety of `domains` across society, the current `risks` of sharing information (`copying` data) with someone such as, privacy invasion, IP theft and blackmail will no longer prevent the vast `benefits` such as innovation, insights and scientific discovery which secure access will provide.

No more cold calls to get `access` to a dataset. No more weeks of `wait times` to get a `result` on your `query`. It also means `1000x more data` in every domain. PySyft opens the doors to a streamlined Data Scientist `workflow`, all with the individual's `privacy` at its heart.

# Tutorials

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataowner.png" alt="" width="100" height="100" align="center">
<p>Data Owner</p></div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/datascientist.png" alt="" width="100" height="100" align="center">
<p>Data Scientist</p></div>

</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataengineer.png" alt="" width="100" height="100" align="center">
<p>Data Engineer</p>
</div>
</th>
</tr>
<tr>
<td valign="top">

- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/00-deploy-domain.ipynb">Deploy a Domain Server</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/01-upload-data.ipynb">Upload Private Data</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/02-create-account-configure-pb.ipynb">Create Accounts</a>
- Manage Privacy Budget</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/03-join-network.ipynb">Join a Network</a>
- Learn how PETs streamline Data Policies

</td>
<td valign="top">

- Install Syft</a>
- Connect to a Domain</a>
- Search for Datasets</a>
- Train Models
- Retrieve Secure Results
- Learn Differential Privacy

</td>
<td valign="top">

- Setup Dev Mode</a>
- Deploy to Azure
- Deploy to GCP
- Deploy to Kubernetes
- Customize Networking
- Modify PyGrid UI
</td>
</tr>
</table>

# Terminology

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<p>👨🏻‍💼 Data Owners</p>
</th>
<th align="center">
<img width="441" height="1">
<p>👩🏽‍🔬 Data Scientists</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provide `datasets` which they would like to make available for `study` by an `outside party` they may or may not `fully trust` has good intentions.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Are end `users` who desire to perform `computations` or `answer` a specific `question` using one or more data owners' `datasets`.

</td>
</tr>
<tr>
<th align="center">
<img width="441" height="1">
<p>🏰 Domain Server</p>
</th>
<th align="center">
<img width="441" height="1">
<p>🔗 Gateway Server</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Manages the `remote study` of the data by a `Data Scientist` and allows the `Data Owner` to manage the `data` and control the `privacy guarantees` of the subjects under study. It also acts as a `gatekeeper` for the `Data Scientist's` access to the data to compute and experiment with the results.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provides services to a group of `Data Owners` and `Data Scientists`, such as dataset `search` and bulk `project approval` (legal / technical) to participate in a project. A gateway server acts as a bridge between it's members (`Domains`) and their subscribers (`Data Scientists`) and can provide access to a collection of `domains` at once.</td>

</tr>
<tr>
</table>

# Community

<table border="5" bordercolor="grey">
<tr>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack_title_light.png" alt="" width="100%" align="center" />

<a href="https://slack.openmined.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack.png" alt="" width="100%" align="center" /></a>

</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_title_videos_papers_light.png" alt="" width="100%" align="center" />

<p align="left"><sub><sup>
🎥 <a href="https://www.youtube.com/watch?v=qVf0tPBzr2k">PETs: Remote Data Science Unleashed - R gov 2021</a><br />
🎥 <a href="https://youtu.be/sCoDWKTbh3s?list=PL_lsbAsL_o2BQKXG7mkGFA8LSApCnhljL">Introduction to Remote Data Science - PyTorch 2021</a><br />
🎥 <a href="https://youtu.be/kzLeTz_vIeQ?list=PL_lsbAsL_o2BtOz6KUfUI_Zla6Rg5dmyc">The Future of AI Tools - PyTorch 2020</a><br />
🎥 <a href="https://www.youtube.com/watch?v=4zrU54VIK6k&t=1s">Privacy Preserving AI - MIT Deep Learning Series</a><br />
🎥 <a href="https://www.youtube.com/watch?v=Pr4erdusiW0">Privacy-Preserving Data Science - TWiML Talk #241</a><br />
🎥 <a href="https://www.youtube.com/watch?v=NJBBE_SN90A">Privacy Preserving AI - PyTorch Devcon 2019</a><br />
📖 <a href="https://arxiv.org/pdf/2110.01315.pdf">Towards general-purpose infrastructure for protect...</a><br />
📖 <a href="https://arxiv.org/pdf/2104.12385.pdf">Syft 0.5: A platform for universally deployable ...</a><br />
📖 <a href="https://arxiv.org/pdf/1811.04017.pdf">A generic framework for privacy preserving deep ...</a>
</sup></sup></p>
</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan_title_light.png" alt="" width="100%" align="center" />

<a href="https://blog.openmined.org/work-on-ais-most-exciting-frontier-no-phd-required/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan.png" alt="" width="100%" align="center"></a>

</div>
</th>
</tr>
</table>

# Courses

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/our-privacy-opportunity"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_privacy.png" alt="" width="100%" align="center" /></a>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/foundations-of-private-computation"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_foundations.png" alt="" width="100%" align="center" /></a>
</div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/introduction-to-remote-data-science"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_introduction.png" alt="" width="100%" align="center"></a>
</div>
</th>
</tr>
</table>

# Contributors

OpenMined and Syft appreciates all contributors, if you would like to fix a bug or suggest a new feature, please see our [guidelines](https://openmined.github.io/PySyft/developer_guide/index.html).<br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/contributors_light.jpg" alt="Contributors" width="100%" />

# Supporters

<table border="0">
<tr>
<th align="center">
<a href="https://sloan.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_sloan.png" /></a>
</th>
<th align="center">
<a href="https://opensource.fb.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_meta.png" /></a>
</th>
<th align="center">
<a href="https://pytorch.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_torch.png" /></a>
</th>
<th align="center">
<a href="https://www.udacity.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_udacity.png" /></a>
</th>
<th align="center">
<a href="https://summerofcode.withgoogle.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsoc.png" /></a>
</th>
<th align="center">
<a href="https://developers.google.com/season-of-docs"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsod.png" /></a>
</th>
<th align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_arkhn_light.png" />

</th>
<th align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_cape_light.png" />
</th>
<th align="center">
<a href="https://begin.ai/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_begin.png" /></a>
</th>
</tr>
</table>

# Open Collective

`OpenMined` is a fiscally sponsored `501(c)(3)` in the USA. We are funded by our generous supporters on <a href="https://opencollective.com/openmined">Open Collective</a>. <br /><br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/opencollective_light.png" alt="Contributors" width="100%" />

# Disclaimer

Syft is under active development and is not yet ready for pilots on private data without our assistance. As early access participants, please contact us via [Slack](https://slack.openmined.org/) or email if you would like to ask a question or have a use case that you would like to discuss.

# License

[Apache License 2.0](LICENSE)<br />
<a href="https://www.flaticon.com/free-icons/person" title="person icons">Person icons created by Freepik - Flaticon</a>

<!-- 🥇 -->


%package help
Summary:	Development documents and examples for syft
Provides:	python3-syft-doc
%description help
<div align="left"> <a href="https://pypi.org/project/syft/"><img src="https://pepy.tech/badge/syft" /></a> <a href="https://pypi.org/project/syft/"><img src="https://badge.fury.io/py/syft.svg" /></a> <a href="https://hub.docker.com/u/openmined"><img src="https://img.shields.io/badge/docker-images-blue?logo=docker" /></a> <a href="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml"><img src="https://github.com/OpenMined/PySyft/actions/workflows/nightlies.yml/badge.svg?branch=dev" /></a> <a href="https://slack.openmined.org/"><img src="https://img.shields.io/badge/chat-on%20slack-purple?logo=slack" /></a> <a href="https://openmined.github.io/PySyft/"><img src="https://img.shields.io/badge/read-docs-yellow?logo=mdbook" /></a>
<br /><br /></div>

<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/title_syft_light.png" width="200px" />

Perform `numpy`-like analysis on `data` that remains in `someone else's` server

<div align="left">
<img alt="Syft Logo" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/header.png" alt="Syft Overview" width="100%" />
</div>

# Quickstart

✅ `Linux` ✅ `macOS`\* ✅ `Windows`†‡

## Install syft on Python 3.9 - 3.10

```bash
$ pip install -U syft -f https://whls.blob.core.windows.net/unstable/index.html
```

## Launch a python dev Domain

```python
# from Jupyter / Python
import syft as sy
sy.requires(">=0.8,<0.8.1")
node = sy.orchestra.launch(name="my-domain", port=8080, dev_mode=True, reset=True)
```

```bash
# or from the command line
$ syft launch --name=my-domain --port=8080 --reset=True

Starting syft-node server on 0.0.0.0:8080
```

## Connect with our Python Client

```python
import syft as sy
sy.requires(">=0.8,<0.8.1")
domain_client = sy.login(port=8080, email="info@openmined.org", password="changethis")
```

## Deploy to a Container Engine or Cloud

1. Install our handy 🛵 cli tool which makes deploying a Domain or Gateway server a one-liner:  
   `pip install -U hagrid`

2. Then run our interactive jupyter Install 🧙🏽‍♂️ Wizard<sup>BETA</sup>:  
   `hagrid quickstart`

3. In the tutorial you will learn how to install and deploy:  
   `PySyft` = our `numpy`-like 🐍 Python library for computing on `private data` in someone else's `Domain`

   `PyGrid` = our 🐳 `docker` / 🐧 `vm` `Domain` & `Gateway` Servers where `private data` lives

4. During quickstart we will deploy `PyGrid` to localhost with 🐳 `docker`, however 🛵 HAGrid can deploy to `podman` or a 🐧 `ubuntu` VM on `azure` / `gcp` / `ANY_IP_ADDRESS` by using 🔨 `ansible`†

## Docs and Support

- 📝 <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api">API Example Notebooks</a>
- 📚 <a href="https://openmined.github.io/PySyft/">Docs</a>
- `#support` on <a href="https://slack.openmined.org/">Slack</a>

# Install Notes

- HAGrid 0.3 Requires: 🐍 `python` 🐙 `git` - Run: `pip install -U hagrid`
- Interactive Install 🧙🏽‍♂️ Wizard<sup>BETA</sup> Requires 🛵 `hagrid`: - Run: `hagrid quickstart`  
  †`Windows` does not support `ansible`, preventing some remote deployment targets
- PySyft 0.8 Requires: 🐍 `python 3.10` - Run: `pip install -U syft`  
  \*`macOS` Apple Silicon users might need cmake: `brew install cmake`  
  ‡`Windows` users must run this first: `pip install jaxlib==0.3.14 -f https://whls.blob.core.windows.net/unstable/index.html`
- PyGrid Requires: 🐳 `docker` or 🐧 `ubuntu` VM - Run: `hagrid launch ...`

# Versions

`0.9.0` (Beta) - `dev` branch 👈🏽 <a href="https://github.com/OpenMined/PySyft/blob/dev/notebooks/api/0.9">API</a>  
`0.8.0` (Stable) - <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/api/0.8">API</a>

Deprecated:

- `0.7.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science-dev">Course 3 Updated</a>
- `0.6.0` - <a href="https://github.com/OpenMined/courses/tree/introduction-to-remote-data-science">Course 3</a>
- `0.5.1` - <a href="https://github.com/OpenMined/courses/tree/foundations-of-private-computation">Course 2</a> + M1 Hotfix
- `0.2.0` - `0.5.0`

PySyft and PyGrid use the same `version` and its best to match them up where possible. We release weekly betas which can be used in each context:

PySyft (Stable): `pip install -U syft`  
PyGrid (Stable) `hagrid launch ... tag=latest`

PySyft (Beta): `pip install -U syft --pre`  
PyGrid (Beta): `hagrid launch ... tag=beta`

HAGrid is a cli / deployment tool so the latest version of `hagrid` is usually the best.

# What is Syft?

<img align="right" src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_big.png" alt="Syft" height="250" style="padding-left:30px;">

`Syft` is OpenMined's `open source` stack that provides `secure` and `private` Data Science in Python. Syft decouples `private data` from model training, using techniques like [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html), [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy), and [Encrypted Computation](https://en.wikipedia.org/wiki/Homomorphic_encryption). This is done with a `numpy`-like interface and integration with `Deep Learning` frameworks, so that you as a `Data Scientist` can maintain your current workflow while using these new `privacy-enhancing techniques`.

### Why should I use Syft?

`Syft` allows a `Data Scientist` to ask `questions` about a `dataset` and, within `privacy limits` set by the `data owner`, get `answers` to those `questions`, all without obtaining a `copy` of the data itself. We call this process `Remote Data Science`. It means in a wide variety of `domains` across society, the current `risks` of sharing information (`copying` data) with someone such as, privacy invasion, IP theft and blackmail will no longer prevent the vast `benefits` such as innovation, insights and scientific discovery which secure access will provide.

No more cold calls to get `access` to a dataset. No more weeks of `wait times` to get a `result` on your `query`. It also means `1000x more data` in every domain. PySyft opens the doors to a streamlined Data Scientist `workflow`, all with the individual's `privacy` at its heart.

# Tutorials

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataowner.png" alt="" width="100" height="100" align="center">
<p>Data Owner</p></div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/datascientist.png" alt="" width="100" height="100" align="center">
<p>Data Scientist</p></div>

</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/personas_image/dataengineer.png" alt="" width="100" height="100" align="center">
<p>Data Engineer</p>
</div>
</th>
</tr>
<tr>
<td valign="top">

- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/00-deploy-domain.ipynb">Deploy a Domain Server</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/01-upload-data.ipynb">Upload Private Data</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/02-create-account-configure-pb.ipynb">Create Accounts</a>
- Manage Privacy Budget</a>
- <a href="https://github.com/OpenMined/PySyft/blob/0.8/notebooks/quickstart/data-owner/03-join-network.ipynb">Join a Network</a>
- Learn how PETs streamline Data Policies

</td>
<td valign="top">

- Install Syft</a>
- Connect to a Domain</a>
- Search for Datasets</a>
- Train Models
- Retrieve Secure Results
- Learn Differential Privacy

</td>
<td valign="top">

- Setup Dev Mode</a>
- Deploy to Azure
- Deploy to GCP
- Deploy to Kubernetes
- Customize Networking
- Modify PyGrid UI
</td>
</tr>
</table>

# Terminology

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<p>👨🏻‍💼 Data Owners</p>
</th>
<th align="center">
<img width="441" height="1">
<p>👩🏽‍🔬 Data Scientists</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provide `datasets` which they would like to make available for `study` by an `outside party` they may or may not `fully trust` has good intentions.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Are end `users` who desire to perform `computations` or `answer` a specific `question` using one or more data owners' `datasets`.

</td>
</tr>
<tr>
<th align="center">
<img width="441" height="1">
<p>🏰 Domain Server</p>
</th>
<th align="center">
<img width="441" height="1">
<p>🔗 Gateway Server</p>
</th>
</tr>
<tr>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Manages the `remote study` of the data by a `Data Scientist` and allows the `Data Owner` to manage the `data` and control the `privacy guarantees` of the subjects under study. It also acts as a `gatekeeper` for the `Data Scientist's` access to the data to compute and experiment with the results.

</td>
<td valign="top">
<!-- REMOVE THE BACKSLASHES -->

Provides services to a group of `Data Owners` and `Data Scientists`, such as dataset `search` and bulk `project approval` (legal / technical) to participate in a project. A gateway server acts as a bridge between it's members (`Domains`) and their subscribers (`Data Scientists`) and can provide access to a collection of `domains` at once.</td>

</tr>
<tr>
</table>

# Community

<table border="5" bordercolor="grey">
<tr>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack_title_light.png" alt="" width="100%" align="center" />

<a href="https://slack.openmined.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_slack.png" alt="" width="100%" align="center" /></a>

</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_title_videos_papers_light.png" alt="" width="100%" align="center" />

<p align="left"><sub><sup>
🎥 <a href="https://www.youtube.com/watch?v=qVf0tPBzr2k">PETs: Remote Data Science Unleashed - R gov 2021</a><br />
🎥 <a href="https://youtu.be/sCoDWKTbh3s?list=PL_lsbAsL_o2BQKXG7mkGFA8LSApCnhljL">Introduction to Remote Data Science - PyTorch 2021</a><br />
🎥 <a href="https://youtu.be/kzLeTz_vIeQ?list=PL_lsbAsL_o2BtOz6KUfUI_Zla6Rg5dmyc">The Future of AI Tools - PyTorch 2020</a><br />
🎥 <a href="https://www.youtube.com/watch?v=4zrU54VIK6k&t=1s">Privacy Preserving AI - MIT Deep Learning Series</a><br />
🎥 <a href="https://www.youtube.com/watch?v=Pr4erdusiW0">Privacy-Preserving Data Science - TWiML Talk #241</a><br />
🎥 <a href="https://www.youtube.com/watch?v=NJBBE_SN90A">Privacy Preserving AI - PyTorch Devcon 2019</a><br />
📖 <a href="https://arxiv.org/pdf/2110.01315.pdf">Towards general-purpose infrastructure for protect...</a><br />
📖 <a href="https://arxiv.org/pdf/2104.12385.pdf">Syft 0.5: A platform for universally deployable ...</a><br />
📖 <a href="https://arxiv.org/pdf/1811.04017.pdf">A generic framework for privacy preserving deep ...</a>
</sup></sup></p>
</div>
</th>
<th align="center" valign="top">
<img width="441" height="1">
<div align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan_title_light.png" alt="" width="100%" align="center" />

<a href="https://blog.openmined.org/work-on-ais-most-exciting-frontier-no-phd-required/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/panel_padawan.png" alt="" width="100%" align="center"></a>

</div>
</th>
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</table>

# Courses

<table border="5" bordercolor="grey">
<tr>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/our-privacy-opportunity"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_privacy.png" alt="" width="100%" align="center" /></a>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/foundations-of-private-computation"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_foundations.png" alt="" width="100%" align="center" /></a>
</div>
</th>
<th align="center">
<img width="441" height="1">
<div align="center">
<a href="https://courses.openmined.org/courses/introduction-to-remote-data-science"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/course_introduction.png" alt="" width="100%" align="center"></a>
</div>
</th>
</tr>
</table>

# Contributors

OpenMined and Syft appreciates all contributors, if you would like to fix a bug or suggest a new feature, please see our [guidelines](https://openmined.github.io/PySyft/developer_guide/index.html).<br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/contributors_light.jpg" alt="Contributors" width="100%" />

# Supporters

<table border="0">
<tr>
<th align="center">
<a href="https://sloan.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_sloan.png" /></a>
</th>
<th align="center">
<a href="https://opensource.fb.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_meta.png" /></a>
</th>
<th align="center">
<a href="https://pytorch.org/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_torch.png" /></a>
</th>
<th align="center">
<a href="https://www.udacity.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_udacity.png" /></a>
</th>
<th align="center">
<a href="https://summerofcode.withgoogle.com/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsoc.png" /></a>
</th>
<th align="center">
<a href="https://developers.google.com/season-of-docs"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_gsod.png" /></a>
</th>
<th align="center">

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_arkhn_light.png" />

</th>
<th align="center">
<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_cape_light.png" />
</th>
<th align="center">
<a href="https://begin.ai/"><img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/logo_begin.png" /></a>
</th>
</tr>
</table>

# Open Collective

`OpenMined` is a fiscally sponsored `501(c)(3)` in the USA. We are funded by our generous supporters on <a href="https://opencollective.com/openmined">Open Collective</a>. <br /><br />

<img src="https://raw.githubusercontent.com/OpenMined/PySyft/0.8/docs/img/opencollective_light.png" alt="Contributors" width="100%" />

# Disclaimer

Syft is under active development and is not yet ready for pilots on private data without our assistance. As early access participants, please contact us via [Slack](https://slack.openmined.org/) or email if you would like to ask a question or have a use case that you would like to discuss.

# License

[Apache License 2.0](LICENSE)<br />
<a href="https://www.flaticon.com/free-icons/person" title="person icons">Person icons created by Freepik - Flaticon</a>

<!-- 🥇 -->


%prep
%autosetup -n syft-0.8.0.post2

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-syft -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.0.post2-1
- Package Spec generated