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chore: enforce alphabetical ordering of entries
Run sort.py to ensure all entries are alphabetically sorted within their respective categories. This maintains consistency and improves readability throughout the list. 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
@ -118,8 +118,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
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* [func-to-web](https://github.com/offerrall/FuncToWeb) - Instantly create web UIs from Python functions using type hints. Zero frontend code required.
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* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django).
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* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
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* [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
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* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.
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## Algorithms and Design Patterns
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@ -140,9 +140,9 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*[ASGI](https://asgi.readthedocs.io/en/latest/)-compatible web servers.*
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* [daphne](https://github.com/django/daphne) - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP.
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* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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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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* [granian](https://github.com/emmett-framework/granian) - Granian is 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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* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.
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## Asynchronous Programming
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*Libraries for asynchronous, concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio).*
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@ -150,20 +150,20 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks.
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- [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)
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* [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables.
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* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.
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* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
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* [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism.
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* [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O.
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* [twisted](https://github.com/twisted/twisted) - An event-driven networking engine.
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* [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop.
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* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.
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* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).
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## Audio
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*Libraries for manipulating audio and its metadata.*
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* Audio
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* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
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* [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction.
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* [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
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* [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition.
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* [kapre](https://github.com/keunwoochoi/kapre) - Keras Audio Preprocessors.
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* [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
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@ -286,8 +286,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Useful CLI-based tools for productivity.*
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* Productivity Tools
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* [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.
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* [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates).
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* [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.
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* [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal.
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* [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line.
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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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@ -316,8 +316,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for storing and parsing configuration options.*
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* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
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* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.
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* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.
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* [hydra](https://github.com/facebookresearch/hydra) - Hydra is a framework for elegantly configuring complex applications.
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* [python-decouple](https://github.com/HBNetwork/python-decouple) - Strict separation of settings from code.
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@ -331,13 +331,13 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for data analysis.*
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* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
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* [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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* [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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* [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
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* [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.
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* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows.
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* [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API.
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## Data Validation
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@ -347,10 +347,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
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* [colander](https://github.com/Pylons/colander) - Validating and deserializing data obtained via XML, JSON, an HTML form post.
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* [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python.
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* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
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* [schema](https://github.com/keleshev/schema) - A library for validating Python data structures.
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* [schematics](https://github.com/schematics/schematics) - Data Structure Validation.
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* [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library.
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* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
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## Data Visualization
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@ -374,10 +374,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Databases implemented in Python.*
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* [DuckDB](https://duckdb.org/) - An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads.
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* [pickleDB](https://github.com/patx/pickledb) - A simple and lightweight key-value store for Python.
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* [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database.
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* [zodb](https://github.com/zopefoundation/ZODB) - A native object database for Python. A key-value and object graph database.
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* [DuckDB](https://duckdb.org/) - An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads.
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## Database Drivers
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@ -389,17 +389,17 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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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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* SQlite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
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* [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.
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* [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
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* [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.
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* Other Relational Databases
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* [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.
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* [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.
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* [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.
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* NoSQL Databases
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* [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra.
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* [happybase](https://github.com/python-happybase/happybase) - A developer-friendly library for Apache HBase.
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* [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka.
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* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
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* [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB.
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* [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.
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* [redis-py](https://github.com/redis/redis-py) - The Python client for Redis.
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## Date and Time
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@ -437,8 +437,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [jax](https://github.com/google/jax) - a library for high-performance numerical computing with automatic differentiation and JIT compilation.
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* [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.
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* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
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* [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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* [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
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* [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
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* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.
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@ -481,11 +481,11 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries to create packaged executables for release distribution.*
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* [Nuitka](https://github.com/Nuitka/Nuitka) - Compiles Python programs into high-performance standalone executables (cross-platform, supports all Python versions).
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* [py2app](https://github.com/ronaldoussoren/py2app) - Freezes Python scripts (Mac OS X).
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* [py2exe](https://github.com/py2exe/py2exe) - Freezes Python scripts (Windows).
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* [pyarmor](https://github.com/dashingsoft/pyarmor) - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
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* [pyinstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into stand-alone executables (cross-platform).
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* [Nuitka](https://github.com/Nuitka/Nuitka) - Compiles Python programs into high-performance standalone executables (cross-platform, supports all Python versions).
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* [shiv](https://github.com/linkedin/shiv) - A command line utility for building fully self-contained zipapps (PEP 441), but with all their dependencies included.
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## Documentation
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@ -546,8 +546,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for file manipulation.*
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* [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
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* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.
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* [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html).
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* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.
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* [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
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* [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
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* [watchfiles](https://github.com/samuelcolvin/watchfiles) - Simple, modern and fast file watching and code reload in python.
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@ -557,10 +557,10 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Functional Programming with Python.*
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* [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
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* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
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* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
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* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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* [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
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* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
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* [toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
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## GUI Development
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@ -568,11 +568,13 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for working with graphical user interface applications.*
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* [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
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* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
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* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.
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* [Flet](https://flet.dev) - Cross-platform GUI framework for building modern apps in pure Python. Run on Windows, macOS, Linux, Android, iOS, and the Web.
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* [Flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering.
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* [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
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* [kivy](https://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
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* [NiceGui](https://github.com/zauberzeug/nicegui) - It is great for micro web apps, dashboards, robotics projects, smart home solutions and similar use cases. You can also use it in development, for example when tweaking/configuring a machine learning algorithm or tuning motor controllers.
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* [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python.
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* [PyGObject](https://pygobject.readthedocs.io/) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3).
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* [PyQt](https://doc.qt.io/qtforpython/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.
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@ -582,8 +584,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [Toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit.
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* [urwid](http://urwid.org/) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
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* [wxPython](https://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.
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* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework
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* [NiceGui](https://github.com/zauberzeug/nicegui) - It is great for micro web apps, dashboards, robotics projects, smart home solutions and similar use cases. You can also use it in development, for example when tweaking/configuring a machine learning algorithm or tuning motor controllers.
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## GraphQL
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@ -655,11 +655,11 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Libraries for manipulating images.*
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* [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork.
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* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
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* [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting.
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* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.
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* [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.
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* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.
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* [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
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* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.
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* [quads](https://github.com/fogleman/Quads) - Computer art based on quadtrees.
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* [scikit-image](http://scikit-image.org/) - A Python library for (scientific) image processing.
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* [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
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@ -669,9 +669,9 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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*Implementations of Python.*
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* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
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* [cpython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
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* [cython](https://github.com/cython/cython) - Optimizing Static Compiler for Python.
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* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
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* [ironpython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#.
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* [micropython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation.
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* [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
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@ -729,13 +729,13 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
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* [gym](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms.
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* [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
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* [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics.
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* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
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* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
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* [PraisonAI](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows.
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* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
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* [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
|
||||
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
|
||||
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
|
||||
* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
|
||||
* [PraisonAI](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows.
|
||||
|
||||
## Microsoft Windows
|
||||
|
||||
@ -801,12 +801,12 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||
* [Django Models](https://docs.djangoproject.com/en/dev/topics/db/models/) - The Django ORM.
|
||||
* [SQLAlchemy](https://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper.
|
||||
* [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy)
|
||||
* [SQLModel](https://sqlmodel.tiangolo.com/) - SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy.
|
||||
* [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
|
||||
* [orm](https://github.com/encode/orm) - An async ORM.
|
||||
* [peewee](https://github.com/coleifer/peewee) - A small, expressive ORM.
|
||||
* [pony](https://github.com/ponyorm/pony/) - ORM that provides a generator-oriented interface to SQL.
|
||||
* [pydal](https://github.com/web2py/pydal/) - A pure Python Database Abstraction Layer.
|
||||
* [SQLModel](https://sqlmodel.tiangolo.com/) - SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy.
|
||||
* NoSQL Databases
|
||||
* [hot-redis](https://github.com/stephenmcd/hot-redis) - Rich Python data types for Redis.
|
||||
* [mongoengine](https://github.com/MongoEngine/mongoengine) - A Python Object-Document-Mapper for working with MongoDB.
|
||||
@ -1006,8 +1006,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||
*Static site generator is a software that takes some text + templates as input and produces HTML files on the output.*
|
||||
|
||||
* [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine.
|
||||
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
|
||||
* [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).
|
||||
* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.
|
||||
* [nikola](https://github.com/getnikola/nikola) - A static website and blog generator.
|
||||
* [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax.
|
||||
|
||||
@ -1185,12 +1185,12 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
|
||||
* [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
|
||||
* [pyramid](https://pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework.
|
||||
* [awesome-pyramid](https://github.com/uralbash/awesome-pyramid)
|
||||
* [masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework.
|
||||
* [fastHTML](https://github.com/AnswerDotAI/fasthtml) - The fastest way to create an HTML app.
|
||||
* [masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework.
|
||||
* [awesome-fasthtml](https://github.com/amosgyamfi/awesome-fasthtml)
|
||||
* Asynchronous
|
||||
* [tornado](https://github.com/tornadoweb/tornado) - A web framework and asynchronous networking library.
|
||||
* [microdot](https://github.com/miguelgrinberg/microdot) - The impossibly small web framework for Python and MicroPython.
|
||||
* [tornado](https://github.com/tornadoweb/tornado) - A web framework and asynchronous networking library.
|
||||
|
||||
## WebSocket
|
||||
|
||||
@ -1225,8 +1225,8 @@ Where to discover learning resources or new Python libraries.
|
||||
* [Django Chat](https://djangochat.com/)
|
||||
* [PyPodcats](https://pypodcats.live) - Hidden Figures of Python: Stories from the underrepresented group members of the Python community.
|
||||
* [Python Bytes](https://pythonbytes.fm)
|
||||
* [Talk Python To Me](https://talkpython.fm/)
|
||||
* [Python Test](https://podcast.pythontest.com/)
|
||||
* [Talk Python To Me](https://talkpython.fm/)
|
||||
* [The Real Python Podcast](https://realpython.com/podcasts/rpp/)
|
||||
|
||||
# Contributing
|
||||
@ -1236,3 +1236,4 @@ Your contributions are always welcome! Please take a look at the [contribution g
|
||||
- - -
|
||||
|
||||
If you have any question about this opinionated list, do not hesitate to contact me [@VintaChen](https://twitter.com/VintaChen) on Twitter or open an issue on GitHub.
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user