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Python ecosystem
来自开放百科 - 灰狐
(版本间的差异)
小 (→编译器) |
小 (→REST API) |
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(未显示1个用户的56个中间版本) | |||
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[[Python]] 生态系统 | [[Python]] 生态系统 | ||
+ | ==Awesome== | ||
[https://github.com/vinta/awesome-python Awesome Python] [[image:awesome.png]] | [https://github.com/vinta/awesome-python Awesome Python] [[image:awesome.png]] | ||
+ | |||
+ | [https://github.com/markusschanta/awesome-jupyter#readme Awesome Jupyter] [[image:awesome.png]] | ||
[https://github.com/rosarior/awesome-django Awesome Django] [[image:awesome.png]] | [https://github.com/rosarior/awesome-django Awesome Django] [[image:awesome.png]] | ||
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*[[CPython]] | *[[CPython]] | ||
*[[Cython]] | *[[Cython]] | ||
+ | *[[IronPython]] | ||
+ | *[[Jython]] | ||
+ | *[[PyPy]] | ||
+ | *[[Python.NET]] | ||
*[https://github.com/google/grumpy grumpy] Go running Python, [[Google]]出品 | *[https://github.com/google/grumpy grumpy] Go running Python, [[Google]]出品 | ||
*[[Pyston]] | *[[Pyston]] | ||
*[[Numba]] | *[[Numba]] | ||
− | |||
*[https://github.com/Microsoft/Pyjion Pyjion] - A JIT for Python based upon CoreCLR | *[https://github.com/Microsoft/Pyjion Pyjion] - A JIT for Python based upon CoreCLR | ||
− | |||
*[[MicroPython]] | *[[MicroPython]] | ||
− | |||
*[https://bitbucket.org/stackless-dev/stackless/wiki/Home Stackless Python] | *[https://bitbucket.org/stackless-dev/stackless/wiki/Home Stackless Python] | ||
*[https://github.com/Maratyszcza/PeachPy PeachPy] - x86-64 assembler embedded in Python | *[https://github.com/Maratyszcza/PeachPy PeachPy] - x86-64 assembler embedded in Python | ||
+ | *[https://github.com/pybee/voc VOC] A transpiler that converts Python code into Java bytecode | ||
+ | |||
+ | ==Web server== | ||
+ | [[文件:Gunicorn.png|right|gunicorn]] | ||
+ | *[[Tornado]] | ||
+ | *[[gunicorn]] | ||
+ | *[[Werkzeug]] | ||
+ | *[[uWSGI]] | ||
+ | *[https://github.com/gevent/gevent gevent] Coroutine-based concurrency library for Python | ||
+ | |||
+ | ==Web框架== | ||
+ | [https://www.airpair.com/python/posts/django-flask-pyramid Django vs Flask vs Pyramid: Choosing a Python Web Framework] | ||
+ | *[[Django]] | ||
+ | *[[Flask]] | ||
+ | *[[Frappe]] | ||
+ | *[[Zope]] | ||
+ | *[[Pylons]] | ||
+ | |||
+ | ==包/扩展== | ||
+ | *[https://pypi.org/ Python Package Index (PyPI)] | ||
+ | *[https://www.pypa.io/ Python Packaging Authority (PyPA)] | ||
+ | *[https://github.com/pypa PyPA @ GitHub] | ||
==生产力工具== | ==生产力工具== | ||
*[[PyCharm]] | *[[PyCharm]] | ||
*[[Spinnaker]] | *[[Spinnaker]] | ||
+ | *[[Virtualenv]] | ||
+ | *[https://github.com/WeblateOrg/weblate Weblate] 本地化翻译支持 | ||
− | == | + | ==数据库存储== |
+ | [[文件:Freenas.png|right|FreeNAS]] | ||
+ | [[文件:TrueNAS-logo.png|right|TrueNAS]] | ||
*[[BigchainDB]] | *[[BigchainDB]] | ||
+ | *[https://github.com/django-nonrel Django and NoSQL] | ||
+ | *[[FreeNAS]] 和 [https://github.com/truenas/middleware TrueNAS CORE/Enterprise/SCALE] | ||
+ | |||
+ | ==GPU/FPGA/TPU== | ||
+ | *[http://www.pynq.io/ PYNQ - Python productivity for Zynq] | ||
+ | *[[Gunicorn]] | ||
==机器学习== | ==机器学习== | ||
+ | [[文件:Apache-Airflow-logo.png|right|Apache Airflow]] | ||
+ | [[文件:PyTorch-logo.png|right|PyTorch]] | ||
*[[PyTorch]] | *[[PyTorch]] | ||
*[https://github.com/tensorflow/models TensorFlow Models] | *[https://github.com/tensorflow/models TensorFlow Models] | ||
*[[Scikit-learn]] | *[[Scikit-learn]] | ||
*[[Theano]] | *[[Theano]] | ||
+ | *[https://airflow.apache.org Apache Airflow] | ||
+ | *[https://github.com/RaRe-Technologies/gensim gensim] Topic Modelling for Humans | ||
− | == | + | ==数据科学== |
+ | [https://www.kdnuggets.com/2020/11/top-python-libraries-data-science-data-visualization-machine-learning.html Top Python Libraries for Data Science, Data Visualization & Machine Learning] 这里列举了 GitHub 上38个面向数据科学、数据可视化、机器学习的流行 Python 软件包。 | ||
*[[Anaconda python]] | *[[Anaconda python]] | ||
+ | *[[jupyter]] | ||
*[[Pandas]] | *[[Pandas]] | ||
*[https://github.com/saulpw/visidata VisiData] | *[https://github.com/saulpw/visidata VisiData] | ||
*[https://github.com/mining/mining Open Mining] | *[https://github.com/mining/mining Open Mining] | ||
*[[Orange]] | *[[Orange]] | ||
+ | *[[Apache Superset]] BI | ||
==数学== | ==数学== | ||
+ | *[[SageMath]] | ||
*[[NumPy]] | *[[NumPy]] | ||
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*[https://github.com/thalesians/pythalesians PyThalesians: Python Open Source Financial Library] | *[https://github.com/thalesians/pythalesians PyThalesians: Python Open Source Financial Library] | ||
− | == | + | ==监控== |
+ | *[https://github.com/getsentry/sentry Sentry] application monitoring | ||
==企业应用== | ==企业应用== | ||
第55行: | 第100行: | ||
*[[ERPNext]] | *[[ERPNext]] | ||
*[[Frepple]] | *[[Frepple]] | ||
+ | *[https://github.com/viewflow/viewflow Viewflow] workflow library for [[Django]] | ||
+ | *[https://github.com/knipknap/SpiffWorkflow Spiff Workflow] | ||
==内容管理== | ==内容管理== | ||
+ | [[文件:Django-CMS-logo.png|right|Django CMS]] | ||
+ | *[[Plone]] | ||
*[[Mezzanine]] | *[[Mezzanine]] | ||
*[[wagtail]] | *[[wagtail]] | ||
*[[Django CMS]] | *[[Django CMS]] | ||
+ | *[https://github.com/LinuxOSsk/Shakal-NG Shakal CMS] | ||
==Admin/Dashboard== | ==Admin/Dashboard== | ||
第69行: | 第119行: | ||
*[https://mp.weixin.qq.com/s/VfZD1N_u_E92vSZn3k6Hyg Python 物联网全栈开发经验教训共享] | *[https://mp.weixin.qq.com/s/VfZD1N_u_E92vSZn3k6Hyg Python 物联网全栈开发经验教训共享] | ||
*[[MicroPython]] | *[[MicroPython]] | ||
+ | |||
+ | ==互联网== | ||
+ | *[[ZeroNet]] | ||
+ | *[https://github.com/asmaps/hopper.pw hopper.pw] Free and open source dynamic DNS | ||
+ | |||
+ | ==数据中心== | ||
+ | *[[OpenStack]] | ||
+ | *[[Ansible]] | ||
+ | *[[SaltStack]] | ||
+ | *[[Mist]] | ||
+ | *[http://infra.psf.io/ Python 基础架构团队] | ||
==安全加密== | ==安全加密== | ||
+ | *[https://github.com/pyca/cryptography pyca/cryptography] | ||
+ | *[https://github.com/paramiko/paramiko Paramiko] SSHv2 协议纯 Python 实现 | ||
==iOS/Android== | ==iOS/Android== | ||
+ | [[文件:beeware-logo.png|right|BeeWare]] | ||
+ | *[https://github.com/beeware BeeWare] Write once. Deploy everywhere. | ||
− | == | + | ==REST API== |
+ | *[[Django REST framework]] | ||
+ | *[https://github.com/pyeve/eve Eve] | ||
+ | |||
+ | ==邮件== | ||
+ | [[文件:Mailman-logo.jpg|right|Mailman]] | ||
+ | *[[Mailman]] | ||
+ | |||
+ | ==桌面GUI== | ||
+ | *[[PyGTK]] | ||
+ | *[https://toga.readthedocs.io/en/latest/ Toga] A Python native, OS native GUI toolkit. | ||
+ | *[[PyQt]] | ||
==游戏== | ==游戏== | ||
+ | *[[Ren'Py]] | ||
==音乐== | ==音乐== | ||
+ | |||
+ | ==天文学== | ||
+ | *[http://www.astropy.org/ Astropy] | ||
==图集== | ==图集== | ||
+ | <gallery> | ||
+ | image:pyecharts.png|pyecharts | ||
+ | </gallery> | ||
==链接== | ==链接== |
2022年4月21日 (四) 03:53的最后版本
Python 生态系统
目录 |
[编辑] Awesome
[编辑] 实现/编译器
- CPython
- Cython
- IronPython
- Jython
- PyPy
- Python.NET
- grumpy Go running Python, Google出品
- Pyston
- Numba
- Pyjion - A JIT for Python based upon CoreCLR
- MicroPython
- Stackless Python
- PeachPy - x86-64 assembler embedded in Python
- VOC A transpiler that converts Python code into Java bytecode
[编辑] Web server
[编辑] Web框架
Django vs Flask vs Pyramid: Choosing a Python Web Framework
[编辑] 包/扩展
[编辑] 生产力工具
- PyCharm
- Spinnaker
- Virtualenv
- Weblate 本地化翻译支持
[编辑] 数据库存储
[编辑] GPU/FPGA/TPU
[编辑] 机器学习
- PyTorch
- TensorFlow Models
- Scikit-learn
- Theano
- Apache Airflow
- gensim Topic Modelling for Humans
[编辑] 数据科学
Top Python Libraries for Data Science, Data Visualization & Machine Learning 这里列举了 GitHub 上38个面向数据科学、数据可视化、机器学习的流行 Python 软件包。
[编辑] 数学
[编辑] 金融交易
[编辑] 监控
- Sentry application monitoring
[编辑] 企业应用
[编辑] 内容管理
[编辑] Admin/Dashboard
[编辑] 物联网
[编辑] 互联网
[编辑] 数据中心
[编辑] 安全加密
- pyca/cryptography
- Paramiko SSHv2 协议纯 Python 实现
[编辑] iOS/Android
- BeeWare Write once. Deploy everywhere.
[编辑] REST API
[编辑] 邮件
[编辑] 桌面GUI
[编辑] 游戏
[编辑] 音乐
[编辑] 天文学
[编辑] 图集
[编辑] 链接
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