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@@ -136,10 +136,10 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
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- Agent Skills
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- [django-ai-plugins](https://github.com/vintasoftware/django-ai-plugins) - Django backend agent skills for Django, DRF, Celery, and Django-specific code review.
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- [sentry-skills](https://github.com/getsentry/skills) - Python-focused engineering skills for code review, debugging, and backend workflows.
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- [trailofbits-skills](https://github.com/trailofbits/skills) - Python-friendly security skills for auditing, testing, and safer backend development.
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- [sentry-skills](https://github.com/getsentry/skills) - Agent skills the Sentry team uses for code review, pull requests, and Django reviews.
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- [trailofbits-skills](https://github.com/trailofbits/skills) - Security skills for vulnerability detection, auditing, and testing.
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- Orchestration
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- [langchain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability.
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- [langchain](https://github.com/langchain-ai/langchain) - A framework for building agents and LLM-powered applications.
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- [langgraph](https://github.com/langchain-ai/langgraph) - Low-level orchestration framework for building stateful, long-running LLM agents.
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- [crewai](https://github.com/crewAIInc/crewAI) - A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.
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- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
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@@ -158,7 +158,7 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
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- [openviking](https://github.com/volcengine/OpenViking) - A context database for AI agents that unifies memory, resources, and skills.
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- [semantica](https://github.com/semantica-agi/semantica) - A graph-native context and knowledge layer for AI agents with reasoning, provenance, and governance.
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- Pre-trained Models
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- [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks.
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- [transformers](https://github.com/huggingface/transformers) - The model-definition framework for pretrained models in text, computer vision, audio, video, and multimodal tasks, for inference and training.
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- LLM Inference and Serving
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- [sglang](https://github.com/sgl-project/sglang) - A high-performance serving framework for large language models and multimodal models.
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- [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
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@@ -198,14 +198,14 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
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- General
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- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
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- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks.
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- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for causal and probabilistic reasoning with graphical models.
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- [feature-engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
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- Gradient Boosting
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- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
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- [lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high performance gradient boosting framework.
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- [catboost](https://github.com/catboost/catboost) - A fast, scalable, high performance gradient boosting on decision trees library.
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- Time Series Forecasting
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- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting.
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- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
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### Natural Language Processing
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@@ -223,15 +223,15 @@ _Libraries for working with human languages._
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### Computer Vision
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_Libraries for Computer Vision._
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_Libraries for image and video analysis, object detection, and OCR._
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- General
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- [opencv-python](https://github.com/opencv/opencv-python) - Open Source Computer Vision Library.
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- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed.
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- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, classification, and tracking.
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- [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch.
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- [fiftyone](https://github.com/voxel51/fiftyone) - The open-source tool for building high-quality datasets and computer vision models.
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- OCR
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- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr).
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- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for the [Tesseract OCR](https://github.com/tesseract-ocr) engine.
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- [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 80+ languages supported.
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### Recommender Systems
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@@ -251,13 +251,11 @@ _Traditional full stack web frameworks. Also see [Web APIs](#web-apis)._
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- Synchronous
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- [flask](https://github.com/pallets/flask) - A microframework for Python.
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- [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
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- [django](https://github.com/django/django) - The most popular web framework in Python.
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- [django](https://github.com/django/django) - A high-level web framework that encourages rapid development and clean, pragmatic design.
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- [awesome-django](https://github.com/wsvincent/awesome-django)
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- [bottle](https://github.com/bottlepy/bottle) - A fast and simple micro-framework distributed as a single file with no dependencies.
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- [pyramid](https://github.com/Pylons/pyramid) - A small, fast, down-to-earth, open source Python web framework.
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- [awesome-pyramid](https://github.com/uralbash/awesome-pyramid)
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- [fasthtml](https://github.com/AnswerDotAI/fasthtml) - The fastest way to create an HTML app.
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- [awesome-fasthtml](https://github.com/amosgyamfi/awesome-fasthtml)
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- Asynchronous
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- [starlette](https://github.com/Kludex/starlette) - A lightweight ASGI framework and toolkit for building high-performance async services.
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- [tornado](https://github.com/tornadoweb/tornado) - A web framework and asynchronous networking library.
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@@ -287,7 +285,7 @@ _Libraries for building RESTful, GraphQL, and RPC APIs._
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_ASGI and WSGI compatible web servers._
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- ASGI
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- [uvicorn](https://github.com/Kludex/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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- [uvicorn](https://github.com/Kludex/uvicorn) - A lightning-fast ASGI server implementation.
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- [granian](https://github.com/emmett-framework/granian) - A Rust HTTP server for Python applications built on top of Hyper and Tokio, supporting WSGI/ASGI/RSGI.
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- [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
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- WSGI
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@@ -299,13 +297,13 @@ _ASGI and WSGI compatible web servers._
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_Libraries for working with WebSocket._
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- [websockets](https://github.com/python-websockets/websockets) - A library for building WebSocket servers and clients with a focus on correctness and simplicity.
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- [channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django.
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- [channels](https://github.com/django/channels) - Brings WebSocket, long-poll HTTP, and other async support to Django.
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- [flask-socketio](https://github.com/miguelgrinberg/Flask-SocketIO) - Socket.IO integration for Flask applications.
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- [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
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### Template Engines
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_Libraries and tools for templating and lexing._
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_Libraries for rendering text and HTML from templates._
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|
- [jinja](https://github.com/pallets/jinja) - A modern and designer friendly templating language.
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- [mako](https://github.com/sqlalchemy/mako) - Hyperfast and lightweight templating for the Python platform.
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@@ -325,7 +323,7 @@ _Libraries for implementing authentication schemes._
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- [oauthlib](https://github.com/oauthlib/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic.
|
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|
|
- [authlib](https://github.com/authlib/authlib) - A comprehensive library for building OAuth, OpenID Connect, and JWT/JWS/JWE/JWK/JWA.
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|
|
- [django-allauth](https://github.com/pennersr/django-allauth) - Authentication app for Django that "just works."
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|
- [django-oauth-toolkit](https://github.com/django-oauth/django-oauth-toolkit) - OAuth 2 goodies for Django.
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|
- [django-oauth-toolkit](https://github.com/django-oauth/django-oauth-toolkit) - An OAuth 2.0 authorization server for Django.
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|
|
- JWT
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|
|
- [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python.
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|
|
- Permissions
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@@ -337,7 +335,7 @@ _Libraries for implementing authentication schemes._
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_Libraries for administrative interfaces._
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|
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- [flask-admin](https://github.com/pallets-eco/flask-admin) - Simple and extensible administrative interface framework for Flask.
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|
|
- [django-unfold](https://github.com/unfoldadmin/django-unfold) - Elevate your Django admin with a stunning modern interface, powerful features, and seamless user experience.
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|
|
- [django-unfold](https://github.com/unfoldadmin/django-unfold) - A modern Django admin theme for building dashboards, internal tools, and business applications.
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|
|
- [django-grappelli](https://github.com/sehmaschine/django-grappelli) - A jazzy skin for the Django Admin-Interface.
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|
|
### CMS
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|
@@ -392,7 +390,7 @@ _Libraries to automate web scraping and extract web content._
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|
### Email
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|
|
_Libraries for sending and parsing email, and mail server management._
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|
|
_Libraries for sending email._
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|
|
- [yagmail](https://github.com/kootenpv/yagmail) - Yet another Gmail/SMTP client.
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|
@@ -419,7 +417,7 @@ _Libraries for connecting and operating databases._
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|
|
- MySQL - [awesome-mysql](https://github.com/shlomi-noach/awesome-mysql)
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|
|
- [pymysql](https://github.com/PyMySQL/PyMySQL) - A pure-Python MySQL and MariaDB client library, based on PEP 249.
|
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|
|
- [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork).
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|
|
- [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL and MariaDB connector ([MySQLdb1](https://github.com/farcepest/MySQLdb1) fork).
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|
|
- PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
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|
|
- [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python.
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- [asyncpg](https://github.com/MagicStack/asyncpg) - A fast PostgreSQL Database Client Library for Python/asyncio.
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@@ -432,7 +430,7 @@ _Libraries for connecting and operating databases._
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|
|
- Other Relational Databases
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|
|
- [pyodbc](https://github.com/mkleehammer/pyodbc) - An ODBC bridge for connecting to SQL Server and any other ODBC-accessible database.
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- [oracledb](https://github.com/oracle/python-oracledb) - The official Python driver for Oracle Database, successor to cx_Oracle.
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|
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- [mssql-python](https://github.com/microsoft/mssql-python) - Official Microsoft driver for SQL Server and Azure SQL, built on ODBC for high performance and low memory usage.
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|
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- [mssql-python](https://github.com/microsoft/mssql-python) - Official Microsoft driver for SQL Server and Azure SQL, built on ODBC for high performance.
|
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|
|
- NoSQL Databases
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|
|
- [redis](https://github.com/redis/redis-py) - The Python client for Redis.
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|
|
- [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
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@@ -459,8 +457,8 @@ _In-process databases usable directly from Python._
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_Libraries for caching data._
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- [cachetools](https://github.com/tkem/cachetools) - Extensible memoizing collections and decorators.
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- [diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file backed cache backend with faster lookups than memcached and redis.
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|
|
- [hishel](https://github.com/karpetrosyan/hishel) - RFC 9111 compliant HTTP caching for httpx and requests, with sync and async support.
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- [diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file backed cache backend, compatible with Django.
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- [hishel](https://github.com/karpetrosyan/hishel) - RFC 9111 compliant HTTP caching for clients like httpx and requests and servers like FastAPI, with sync and async support.
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|
|
- [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) - dogpile.cache is a next generation replacement for Beaker made by the same authors.
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|
- [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation.
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@@ -502,7 +500,7 @@ _Libraries for data extraction, transformation, and loading pipelines across mul
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|
- [pathway](https://github.com/pathwaycom/pathway) - Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
|
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|
|
- Financial Data
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|
|
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
|
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|
|
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, built for human beings!
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|
|
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, with data provided for academic research only.
|
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|
|
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
|
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|
|
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
|
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|
@@ -512,7 +510,7 @@ _Libraries for validating data. Used for forms in many cases._
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|
|
- [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
|
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|
|
- [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](https://json-schema.org/) for Python.
|
|
|
|
|
- [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, and Spark.
|
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|
|
- [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, PySpark, and more.
|
|
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|
|
|
|
|
|
### Data Visualization
|
|
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|
|
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|
@@ -548,7 +546,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
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|
|
- Core
|
|
|
|
|
- [numpy](https://github.com/numpy/numpy) - A fundamental package for scientific computing with Python.
|
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|
|
- [scipy](https://github.com/scipy/scipy) - Fundamental algorithms for scientific computing in Python.
|
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|
|
- [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
|
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|
|
- [numba](https://github.com/numba/numba) - A NumPy-aware JIT compiler for Python, using LLVM.
|
|
|
|
|
- Symbolic Mathematics
|
|
|
|
|
- [sympy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
|
|
|
|
|
- Statistics
|
|
|
|
@@ -578,7 +576,7 @@ _Libraries for quantum computing._
|
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|
|
|
|
|
|
|
- [qiskit](https://github.com/Qiskit/qiskit) - An IBM-backed quantum SDK for building, simulating, and running circuits on real quantum hardware.
|
|
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|
|
- [qutip](https://github.com/qutip/qutip) - Quantum Toolbox in Python.
|
|
|
|
|
- [pennylane](https://github.com/PennyLaneAI/pennylane) - A hybrid quantum-classical machine learning library with automatic differentiation support.
|
|
|
|
|
- [pennylane](https://github.com/PennyLaneAI/pennylane) - A cross-platform library for quantum computing, quantum machine learning, and quantum chemistry.
|
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|
|
- [cirq](https://github.com/quantumlib/Cirq) - A Google-developed framework focused on hardware-aware quantum circuit design for NISQ devices.
|
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|
|
**Developer Tools**
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|
|
|
@@ -601,7 +599,7 @@ _Python implementation of data structures, algorithms and design patterns. Also
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|
|
_Interactive Python interpreters (REPL)._
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|
|
- [ipython](https://github.com/ipython/ipython) - A powerful interactive Python shell, and the kernel behind Jupyter notebooks.
|
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|
|
- [jupyter](https://github.com/jupyter/notebook) - A rich toolkit to help you make the most out of using Python interactively.
|
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|
|
- [jupyter](https://github.com/jupyter/notebook) - A web-based notebook environment for interactive computing.
|
|
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|
|
- [awesome-jupyter](https://github.com/markusschanta/awesome-jupyter)
|
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|
|
- [marimo](https://github.com/marimo-team/marimo) - Transform data and train models, feels like a next-gen notebook, stored as Git-friendly Python.
|
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|
|
- [ptpython](https://github.com/prompt-toolkit/ptpython) - Advanced Python REPL built on top of the [python-prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit).
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|
|
@@ -692,7 +690,7 @@ _Libraries for debugging code._
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|
|
### Build Tools
|
|
|
|
|
|
|
|
|
|
_Compile software from source code. If you're looking for Python packaging/build tools, see [Package Management](#package-management)._
|
|
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|
|
_Task runners and software build tools. If you're looking for Python packaging/build tools, see [Package Management](#package-management)._
|
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- [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks.
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- [scons](https://github.com/SCons/scons) - A software construction tool.
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@@ -742,10 +740,10 @@ _Software and libraries for DevOps._
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_Frameworks and libraries for Distributed Computing._
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- [ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem.
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- [ray](https://github.com/ray-project/ray/) - A unified framework for scaling AI and Python applications.
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- [pyspark](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/) Python API.
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- [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.
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- [joblib](https://github.com/joblib/joblib) - A set of tools to provide lightweight pipelining in Python.
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- [joblib](https://github.com/joblib/joblib) - Parallel computing and disk-based caching for Python functions.
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- [mpi4py](https://github.com/mpi4py/mpi4py) - Python bindings for MPI.
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### Task Queues
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@@ -755,7 +753,7 @@ _Libraries for working with task queues._
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- [celery](https://github.com/celery/celery) - An asynchronous task queue/job queue based on distributed message passing.
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- [rq](https://github.com/rq/rq) - Simple job queues for Python.
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- [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.
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- [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue.
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- [huey](https://github.com/coleifer/huey) - A little task queue with multi-process, multi-thread, or greenlet workers.
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- [taskiq](https://github.com/taskiq-python/taskiq) - Distributed task queue with native asyncio support and pluggable brokers.
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### Messaging
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@@ -843,8 +841,8 @@ _Libraries for working with graphical user interface applications._
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- Desktop
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- [pygobject](https://github.com/GNOME/pygobject) - Python Bindings for GLib/GObject/GIO/GTK.
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- [wxPython](https://github.com/wxWidgets/Phoenix) - A blending of the wxWidgets C++ class library with the Python.
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- [kivy](https://github.com/kivy/kivy) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
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- [wxPython](https://github.com/wxWidgets/Phoenix) - A cross-platform GUI toolkit that wraps the wxWidgets C++ library.
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- [kivy](https://github.com/kivy/kivy) - An open-source framework for cross-platform GUI apps on desktop, mobile, and embedded platforms.
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- [dearpygui](https://github.com/hoffstadt/DearPyGui) - A simple GPU-accelerated Python GUI framework.
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- [toga](https://github.com/beeware/toga) - A Python native, OS native GUI toolkit.
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- Qt
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@@ -868,7 +866,7 @@ _Libraries for working with graphical user interface applications._
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_Libraries for parsing and manipulating plain texts._
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- Encoding and Unicode
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- [charset-normalizer](https://github.com/jawah/charset_normalizer) - Universal character encoding detector, the default of the requests ecosystem.
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- [charset-normalizer](https://github.com/jawah/charset_normalizer) - Universal character encoding detector, and a dependency of requests.
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- [chardet](https://github.com/chardet/chardet) - Python character encoding detector.
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- [ftfy](https://github.com/rspeer/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
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- Fuzzy Matching
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@@ -880,7 +878,7 @@ _Libraries for parsing and manipulating plain texts._
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- [babel](https://github.com/python-babel/babel) - An internationalization library for Python.
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- Parser
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- [pygments](https://github.com/pygments/pygments) - A generic syntax highlighter.
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- [pyparsing](https://github.com/pyparsing/pyparsing) - A general purpose framework for generating parsers.
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- [pyparsing](https://github.com/pyparsing/pyparsing) - A Python library for creating PEG parsers.
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- [sqlparse](https://github.com/andialbrecht/sqlparse) - A non-validating SQL parser.
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- [phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers.
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- [parsy](https://github.com/python-parsy/parsy) - Easy, generic parser combinator library for creating parsers.
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@@ -899,11 +897,11 @@ _Libraries for working with HTML and XML._
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- [lxml](https://github.com/lxml/lxml) - A very fast, easy-to-use and versatile library for handling HTML and XML.
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- [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.
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- [markupsafe](https://github.com/pallets/markupsafe) - Safely adds untrusted strings to HTML/XML markup.
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- [justhtml](https://github.com/EmilStenstrom/justhtml/) - A pure Python HTML5 parser that just works.
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- [justhtml](https://github.com/EmilStenstrom/justhtml/) - A pure Python HTML5 parser that sanitizes untrusted HTML by default.
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### File Format Processing
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_Libraries for parsing and manipulating specific text formats._
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_Libraries for parsing and manipulating specific file formats._
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|
- General
|
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|
|
- [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information.
|
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|
@@ -921,7 +919,7 @@ _Libraries for parsing and manipulating specific text formats._
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- PDF
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|
- [pypdf](https://github.com/py-pdf/pypdf) - A library capable of splitting, merging, cropping, and transforming PDF pages.
|
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|
- [reportlab](https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents.
|
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|
- [pdfminer.six](https://github.com/pdfminer/pdfminer.six) - Pdfminer.six is a community maintained fork of the original PDFMiner.
|
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|
- [pdfminer.six](https://github.com/pdfminer/pdfminer.six) - A community-maintained fork of PDFMiner for extracting information from PDF documents.
|
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|
- HTML-to-PDF
|
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|
- [weasyprint](https://github.com/Kozea/WeasyPrint) - A visual rendering engine for HTML and CSS that can export to PDF.
|
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|
- Markdown
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|
@@ -930,7 +928,7 @@ _Libraries for parsing and manipulating specific text formats._
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|
- [mistune](https://github.com/lepture/mistune) - A fast yet powerful Python Markdown parser with renderers and plugins.
|
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|
- Data Formats
|
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|
|
- [tomllib](https://docs.python.org/3/library/tomllib.html) - (Python standard library) Parse TOML files.
|
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|
- [pyyaml](https://github.com/yaml/pyyaml) - YAML implementations for Python.
|
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|
|
- [pyyaml](https://github.com/yaml/pyyaml) - A full-featured YAML framework for Python.
|
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|
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|
|
|
|
### File Manipulation
|
|
|
|
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|
@@ -956,7 +954,7 @@ _Libraries for manipulating images._
|
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|
|
- [scikit-image](https://github.com/scikit-image/scikit-image) - A Python library for (scientific) image processing.
|
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|
|
- [rembg](https://github.com/danielgatis/rembg) - A tool to remove image backgrounds.
|
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|
|
- [wand](https://github.com/emcconville/wand) - Python bindings for [MagickWand](https://imagemagick.org/magick-wand/), C API for ImageMagick.
|
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|
|
- [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
|
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|
|
- [pyvips](https://github.com/libvips/pyvips) - A binding for libvips, a fast image processing library with low memory needs.
|
|
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|
|
- Image Serving
|
|
|
|
|
- [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
|
|
|
|
|
|
|
|
|
@@ -1044,7 +1042,7 @@ _Libraries for working with dates and times._
|
|
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|
|
- [python-dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module.
|
|
|
|
|
- [dateparser](https://github.com/scrapinghub/dateparser) - A Python parser for human-readable dates in over 200 language locales.
|
|
|
|
|
- [pendulum](https://github.com/python-pendulum/pendulum) - Python datetimes made easy.
|
|
|
|
|
- [whenever](https://github.com/ariebovenberg/whenever) - A modern datetime library, type-safe and DST-safe, backed by Rust.
|
|
|
|
|
- [whenever](https://github.com/ariebovenberg/whenever) - A modern datetime library, type-safe and DST-safe, in Rust or pure Python.
|
|
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|
|
|
|
|
|
|
**Python Toolchain**
|
|
|
|
|
|
|
|
|
@@ -1074,7 +1072,7 @@ _Libraries for package and dependency management._
|
|
|
|
|
|
|
|
|
|
### Package Repositories
|
|
|
|
|
|
|
|
|
|
_Local PyPI repository server and proxies._
|
|
|
|
|
_Local PyPI repository servers, proxies, and mirrors._
|
|
|
|
|
|
|
|
|
|
- [bandersnatch](https://github.com/pypa/bandersnatch/) - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
|
|
|
|
|
- [devpi](https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool.
|
|
|
|
@@ -1109,9 +1107,9 @@ _Libraries for storing and parsing configuration options._
|
|
|
|
|
_Libraries for cryptographic primitives and secure protocols._
|
|
|
|
|
|
|
|
|
|
- [cryptography](https://github.com/pyca/cryptography) - A package designed to expose cryptographic primitives and recipes to Python developers.
|
|
|
|
|
- [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library.
|
|
|
|
|
- [pynacl](https://github.com/pyca/pynacl) - Python binding to libsodium, a fork of the Networking and Cryptography (NaCl) library.
|
|
|
|
|
- [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library.
|
|
|
|
|
- [itsdangerous](https://github.com/pallets/itsdangerous) - Various helpers to pass trusted data to untrusted environments.
|
|
|
|
|
- [itsdangerous](https://github.com/pallets/itsdangerous) - Safely pass trusted data to untrusted environments and back.
|
|
|
|
|
|
|
|
|
|
### Penetration Testing
|
|
|
|
|
|
|
|
|
@@ -1152,7 +1150,7 @@ _Python programming on Microsoft Windows._
|
|
|
|
|
- [pythonnet](https://github.com/pythonnet/pythonnet) - Python Integration with the .NET Common Language Runtime (CLR).
|
|
|
|
|
- [pywin32](https://github.com/mhammond/pywin32) - Python Extensions for Windows.
|
|
|
|
|
- [pyenv-win](https://github.com/pyenv-win/pyenv-win) - A Python version manager for Windows ([rbenv-win](https://github.com/nak1114/rbenv-win) fork).
|
|
|
|
|
- [winpython](https://github.com/winpython/winpython) - Portable development environment for Windows 10/11.
|
|
|
|
|
- [winpython](https://github.com/winpython/winpython) - Portable Python distribution for Windows.
|
|
|
|
|
|
|
|
|
|
### Miscellaneous
|
|
|
|
|
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|
Vinta Chen