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Python ecosystem
来自开放百科 - 灰狐
（版本间的差异）
小 (→图集) |
小 (→REST API) |
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| （未显示1个用户的43个中间版本） | |||
| 第18行： | 第18行： | ||
*[[Jython]] | *[[Jython]] | ||
*[[PyPy]] | *[[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]] | ||
| 第27行： | 第27行： | ||
*[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 | *[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== | ==包/扩展== | ||
| − | *[https:// | + | *[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== | ==GPU/FPGA/TPU== | ||
*[http://www.pynq.io/ PYNQ - Python productivity for Zynq] | *[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]] | ||
| 第60行： | 第93行： | ||
*[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70行： | 第104行： | ||
==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85行： | 第122行： | ||
==互联网== | ==互联网== | ||
*[[ZeroNet]] | *[[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== | ==REST API== | ||
| + | *[[Django REST framework]] | ||
*[https://github.com/pyeve/eve Eve] | *[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== | ||
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
pyecharts
[编辑] 链接
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