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docs: fix inaccurate entry descriptions across README

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18 entry descriptions overstated, understated, or misattributed their projects, checked against upstream on 2026-09-27 and approved row by row.
- django: "most popular" contradicted by the 2024 JetBrains/PSF survey, where FastAPI leads overall; now uses Django's own tagline.
- joblib: described as pipelining; its docs say parallel computing and disk caching.
- huey: called only "multi-threaded"; it also supports multi-process and greenlet workers.
- numba: updated to its current NumPy-aware wording.
- pytesseract: credited Google as Tesseract's developer, which ended in 2017.
- pennylane: description was narrower than its quantum computing/QML/chemistry scope.
- channels: didn't mention WebSocket support.
- justhtml: left out that it sanitizes untrusted HTML by default.
- akshare: left out its academic-research-only data terms.
- timesfm: left out its non-commercial default weights.
- pyvips: used libvips's own tagline instead of describing it as a binding.
- ultralytics: dropped an unverifiable SOTA claim and added its tracking capability.
- pandera: listed only 3 of its supported dataframe backends.
- sentry-skills: claimed a Python focus and debugging scope; it's the Sentry team's own skill set.
- trailofbits-skills: claimed to be Python-friendly, but only 2 of 85 skills are Python-specific.
- mysqlclient: fork link pointed to SourceForge mysql-python instead of MySQLdb1, and it now notes MariaDB support.
- charset-normalizer: called "the default" of requests, which prefers chardet when installed.
- pynacl: described as binding NaCl directly; it binds libsodium, a NaCl fork.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-09-27 15:06:32 +08:00
co-authored by Claude
parent 9cdd11b624
commit 6a038e3fef
1 changed files with 18 additions and 18 deletions
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@@ -136,8 +136,8 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- Agent Skills
- [django-ai-plugins](https://github.com/vintasoftware/django-ai-plugins) - Django backend agent skills for Django, DRF, Celery, and Django-specific code review.
- [sentry-skills](https://github.com/getsentry/skills) - Python-focused engineering skills for code review, debugging, and backend workflows.
- [trailofbits-skills](https://github.com/trailofbits/skills) - Python-friendly security skills for auditing, testing, and safer backend development.
- [sentry-skills](https://github.com/getsentry/skills) - Agent skills the Sentry team uses for code review, pull requests, and Django reviews.
- [trailofbits-skills](https://github.com/trailofbits/skills) - Security skills for vulnerability detection, auditing, and testing.
- Orchestration
- [langchain](https://github.com/langchain-ai/langchain) - A framework for building agents and LLM-powered applications.
- [langgraph](https://github.com/langchain-ai/langgraph) - Low-level orchestration framework for building stateful, long-running LLM agents.
@@ -205,7 +205,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high performance gradient boosting framework.
- [catboost](https://github.com/catboost/catboost) - A fast, scalable, high performance gradient boosting on decision trees library.
- Time Series Forecasting
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting.
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
### Natural Language Processing
@@ -227,11 +227,11 @@ _Libraries for image and video analysis, object detection, and OCR._
- General
- [opencv-python](https://github.com/opencv/opencv-python) - Open Source Computer Vision Library.
- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed.
- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, classification, and tracking.
- [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch.
- [fiftyone](https://github.com/voxel51/fiftyone) - The open-source tool for building high-quality datasets and computer vision models.
- OCR
- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr).
- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for the [Tesseract OCR](https://github.com/tesseract-ocr) engine.
- [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 80+ languages supported.
### Recommender Systems
@@ -251,7 +251,7 @@ _Traditional full stack web frameworks. Also see [Web APIs](#web-apis)._
- Synchronous
- [flask](https://github.com/pallets/flask) - A microframework for Python.
- [awesome-flask](https://github.com/humiaozuzu/awesome-flask)
- [django](https://github.com/django/django) - The most popular web framework in Python.
- [django](https://github.com/django/django) - A high-level web framework that encourages rapid development and clean, pragmatic design.
- [awesome-django](https://github.com/wsvincent/awesome-django)
- [bottle](https://github.com/bottlepy/bottle) - A fast and simple micro-framework distributed as a single file with no dependencies.
- [pyramid](https://github.com/Pylons/pyramid) - A small, fast, down-to-earth, open source Python web framework.
@@ -299,7 +299,7 @@ _ASGI and WSGI compatible web servers._
_Libraries for working with WebSocket._
- [websockets](https://github.com/python-websockets/websockets) - A library for building WebSocket servers and clients with a focus on correctness and simplicity.
- [channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django.
- [channels](https://github.com/django/channels) - Brings WebSocket, long-poll HTTP, and other async support to Django.
- [flask-socketio](https://github.com/miguelgrinberg/Flask-SocketIO) - Socket.IO integration for Flask applications.
- [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html).
@@ -419,7 +419,7 @@ _Libraries for connecting and operating databases._
- MySQL - [awesome-mysql](https://github.com/shlomi-noach/awesome-mysql)
- [pymysql](https://github.com/PyMySQL/PyMySQL) - A pure-Python MySQL and MariaDB client library, based on PEP 249.
- [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork).
- [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL and MariaDB connector ([MySQLdb1](https://github.com/farcepest/MySQLdb1) fork).
- PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
- [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python.
- [asyncpg](https://github.com/MagicStack/asyncpg) - A fast PostgreSQL Database Client Library for Python/asyncio.
@@ -502,7 +502,7 @@ _Libraries for data extraction, transformation, and loading pipelines across mul
- [pathway](https://github.com/pathwaycom/pathway) - Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- Financial Data
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, built for human beings!
- [akshare](https://github.com/akfamily/akshare) - A financial data interface library, with data provided for academic research only.
- [edgartools](https://github.com/dgunning/edgartools) - Library for downloading structured data from SEC EDGAR filings and XBRL financial statements.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
@@ -512,7 +512,7 @@ _Libraries for validating data. Used for forms in many cases._
- [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
- [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.
- [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, PySpark, and more.
### Data Visualization
@@ -548,7 +548,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
- Core
- [numpy](https://github.com/numpy/numpy) - A fundamental package for scientific computing with Python.
- [scipy](https://github.com/scipy/scipy) - Fundamental algorithms for scientific computing in Python.
- [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python.
- [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 +578,7 @@ _Libraries for quantum computing._
- [qiskit](https://github.com/Qiskit/qiskit) - An IBM-backed quantum SDK for building, simulating, and running circuits on real quantum hardware.
- [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.
- [cirq](https://github.com/quantumlib/Cirq) - A Google-developed framework focused on hardware-aware quantum circuit design for NISQ devices.
**Developer Tools**
@@ -745,7 +745,7 @@ _Frameworks and libraries for Distributed Computing._
- [ray](https://github.com/ray-project/ray/) - A unified framework for scaling AI and Python applications.
- [pyspark](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/) Python API.
- [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing.
- [joblib](https://github.com/joblib/joblib) - A set of tools to provide lightweight pipelining in Python.
- [joblib](https://github.com/joblib/joblib) - Parallel computing and disk-based caching for Python functions.
- [mpi4py](https://github.com/mpi4py/mpi4py) - Python bindings for MPI.
### Task Queues
@@ -755,7 +755,7 @@ _Libraries for working with task queues._
- [celery](https://github.com/celery/celery) - An asynchronous task queue/job queue based on distributed message passing.
- [rq](https://github.com/rq/rq) - Simple job queues for Python.
- [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.
- [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue.
- [huey](https://github.com/coleifer/huey) - A little task queue with multi-process, multi-thread, or greenlet workers.
- [taskiq](https://github.com/taskiq-python/taskiq) - Distributed task queue with native asyncio support and pluggable brokers.
### Messaging
@@ -868,7 +868,7 @@ _Libraries for working with graphical user interface applications._
_Libraries for parsing and manipulating plain texts._
- Encoding and Unicode
- [charset-normalizer](https://github.com/jawah/charset_normalizer) - Universal character encoding detector, the default of the requests ecosystem.
- [charset-normalizer](https://github.com/jawah/charset_normalizer) - Universal character encoding detector, and a dependency of requests.
- [chardet](https://github.com/chardet/chardet) - Python character encoding detector.
- [ftfy](https://github.com/rspeer/python-ftfy) - Makes Unicode text less broken and more consistent automagically.
- Fuzzy Matching
@@ -899,7 +899,7 @@ _Libraries for working with HTML and XML._
- [lxml](https://github.com/lxml/lxml) - A very fast, easy-to-use and versatile library for handling HTML and XML.
- [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON.
- [markupsafe](https://github.com/pallets/markupsafe) - Safely adds untrusted strings to HTML/XML markup.
- [justhtml](https://github.com/EmilStenstrom/justhtml/) - A pure Python HTML5 parser that just works.
- [justhtml](https://github.com/EmilStenstrom/justhtml/) - A pure Python HTML5 parser that sanitizes untrusted HTML by default.
### File Format Processing
@@ -956,7 +956,7 @@ _Libraries for manipulating images._
- [scikit-image](https://github.com/scikit-image/scikit-image) - A Python library for (scientific) image processing.
- [rembg](https://github.com/danielgatis/rembg) - A tool to remove image backgrounds.
- [wand](https://github.com/emcconville/wand) - Python bindings for [MagickWand](https://imagemagick.org/magick-wand/), C API for ImageMagick.
- [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.
- [pyvips](https://github.com/libvips/pyvips) - A binding for libvips, a fast image processing library with low memory needs.
- Image Serving
- [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
@@ -1109,7 +1109,7 @@ _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) - Safely pass trusted data to untrusted environments and back.