Merge branch 'star-scan-adds'

This commit is contained in:
Vinta Chen
2026-10-16 17:32:12 +08:00
4 changed files with 46 additions and 18 deletions
+41 -16
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@@ -168,10 +168,13 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
- Pre-trained Models
- [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.
- [sentence-transformers](https://github.com/huggingface/sentence-transformers) - Compute embeddings, run retrieval, and rerank results with pretrained and fine-tuned models.
- LLM Inference and Serving
- Local LLM Inference
- [ollama](https://github.com/ollama/ollama-python) - Python client for Ollama, which downloads and runs open-weight LLMs locally.
- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) - Python bindings for llama.cpp, for running GGUF models locally.
- [mlx-lm](https://github.com/ml-explore/mlx-lm) - Run and fine-tune large language models on Apple Silicon with MLX.
- LLM Serving
- [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.
- [sglang](https://github.com/sgl-project/sglang) - A high-performance serving framework for large language models and multimodal models.
- [mlx-lm](https://github.com/ml-explore/mlx-lm) - Run and fine-tune large language models on Apple Silicon with MLX.
- LLM Gateways
- [litellm](https://github.com/BerriAI/litellm) - Call 100+ LLMs using OpenAI format.
- Image and Video Generation
@@ -207,6 +210,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- General
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
- [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) - Resampling techniques for datasets with imbalanced classes, compatible with scikit-learn.
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for causal and probabilistic reasoning with graphical models.
- [feature-engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
- Gradient Boosting
@@ -218,6 +222,9 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [statsforecast](https://github.com/Nixtla/statsforecast) - Fast statistical forecasting models such as ARIMA, ETS, and Theta, compiled with numba.
- [sktime](https://github.com/sktime/sktime) - A unified scikit-learn-style framework for forecasting and other time-series learning tasks.
- [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting, with non-commercial default weights.
- Hyperparameter Optimization
- [optuna](https://github.com/optuna/optuna) - A hyperparameter optimization framework with define-by-run search spaces and pruning of unpromising trials.
- [hyperopt](https://github.com/hyperopt/hyperopt) - Distributed asynchronous hyperparameter optimization with Tree-structured Parzen Estimators.
### Natural Language Processing
@@ -231,6 +238,7 @@ _Libraries for working with human languages._
- Chinese
- [jieba](https://github.com/fxsjy/jieba) - The most popular Chinese text segmentation library.
- [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音).
- [OpenCC](https://github.com/BYVoid/OpenCC) - Conversion between Traditional and Simplified Chinese, with regional variants and phrase-level rules.
- [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing.
### Computer Vision
@@ -399,7 +407,7 @@ _Libraries to automate web scraping and extract web content._
- [scrapy](https://github.com/scrapy/scrapy) - A fast high-level web crawling and scraping framework.
- [crawl4ai](https://github.com/unclecode/crawl4ai) - An open-source, LLM-friendly web crawler that provides lightning-fast, structured data extraction specifically designed for AI agents.
- [stagehand](https://github.com/browserbase/stagehand) - A fast and token-efficient browser automation SDK to extract data and perform self-healing actions on web pages.
- [jev-ultrafast](https://github.com/browser-use/jev-ultrafast) - A fast browser agent that picks actions from an indexed table of page elements through TypeSafe's hosted Jev API, using a small LLM only to type text.
- [scrapling](https://github.com/D4Vinci/Scrapling) - An adaptive scraping framework whose selectors relocate elements after page changes, with stealth fetchers and spiders.
- Content Extraction
- [markdownify](https://github.com/matthewwithanm/python-markdownify) - Convert HTML to Markdown, with customizable tag handling.
- [feedparser](https://github.com/kurtmckee/feedparser) - Universal feed parser.
@@ -441,8 +449,10 @@ _Libraries for connecting and operating databases._
- PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
- [psycopg](https://github.com/psycopg/psycopg) - A PostgreSQL adapter for Python, the successor to psycopg2.
- [asyncpg](https://github.com/MagicStack/asyncpg) - A fast PostgreSQL Database Client Library for Python/asyncio.
- [pgvector](https://github.com/pgvector/pgvector-python) - pgvector support for Python, adding vector types and similarity search to psycopg, asyncpg, SQLAlchemy, and Django.
- SQLite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite)
- [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQLite interface compliant with DB-API 2.0.
- [apsw](https://github.com/rogerbinns/apsw) - Another Python SQLite Wrapper, exposing the complete SQLite C API.
- [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.
- ClickHouse
- [clickhouse-connect](https://github.com/ClickHouse/clickhouse-connect) - The official ClickHouse client, with SQLAlchemy and Superset connectors.
@@ -464,6 +474,7 @@ _In-process databases usable directly from Python._
- [duckdb](https://github.com/duckdb/duckdb) - An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads.
- [chdb](https://github.com/chdb-io/chdb) - In-process OLAP SQL engine with the full ClickHouse dialect, zero-copy pandas/Arrow interop, and federation to remote ClickHouse clusters via `remoteSecure()`.
- Vector
- [faiss-cpu](https://github.com/facebookresearch/faiss) - A library for efficient similarity search and clustering of dense vectors.
- [lancedb](https://github.com/lancedb/lancedb) - A developer-friendly embedded retrieval database for multimodal AI.
- [chromadb](https://github.com/chroma-core/chroma) - An open-source embedding database for building AI applications with embeddings and semantic search.
- [zvec](https://github.com/alibaba/zvec) - A lightweight, in-process vector database that embeds directly into applications.
@@ -476,9 +487,9 @@ _Libraries for caching data._
- [cachetools](https://github.com/tkem/cachetools) - Extensible memoizing collections and decorators.
- [diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file backed cache backend, compatible with Django.
- [django-redis](https://github.com/jazzband/django-redis) - Full-featured Redis cache backend for Django.
- [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.
- [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation.
- [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) - dogpile.cache is a next generation replacement for Beaker made by the same authors.
### Search
@@ -493,10 +504,14 @@ _Libraries and software for indexing and performing search queries on data._
_Libraries for serializing complex data types._
- [msgpack](https://github.com/msgpack/msgpack-python) - MessagePack serializer implementation for Python.
- [orjson](https://github.com/ijl/orjson) - Fast, correct JSON library.
- [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
- [msgspec](https://github.com/msgspec/msgspec) - A fast serialization and validation library with built-in support for JSON, MessagePack, YAML, and TOML.
- Data Formats
- [msgpack](https://github.com/msgpack/msgpack-python) - MessagePack serializer implementation for Python.
- [orjson](https://github.com/ijl/orjson) - Fast, correct JSON library.
- [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
- [msgspec](https://github.com/msgspec/msgspec) - A fast serialization and validation library with built-in support for JSON, MessagePack, YAML, and TOML.
- Object Pickling
- [cloudpickle](https://github.com/cloudpipe/cloudpickle) - Extends pickle to functions, lambdas, and interactively defined classes, for shipping code to remote workers.
- [dill](https://github.com/uqfoundation/dill) - Extends pickle to serialize almost any Python object, including closures and whole interpreter sessions.
**Data & Science**
@@ -643,6 +658,7 @@ _Tools of static analysis, linters and code quality checkers. Also see [awesome-
- [bandit](https://github.com/PyCQA/bandit) - A tool designed to find common security issues in Python code.
- Refactoring
- [rope](https://github.com/python-rope/rope) - Rope is a python refactoring library.
- [ast-grep-cli](https://github.com/ast-grep/ast-grep) - A CLI tool for structural code search, linting, and rewriting based on syntax trees.
- Type Checkers - [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing)
- [mypy](https://github.com/python/mypy) - A static type checker for Python.
- [ty](https://github.com/astral-sh/ty) - An extremely fast Python type checker and language server.
@@ -700,6 +716,7 @@ _Libraries for debugging code._
- [scalene](https://github.com/plasma-umass/scalene) - A high-performance, high-precision CPU, GPU, and memory profiler for Python.
- Others
- [django-debug-toolbar](https://github.com/django-commons/django-debug-toolbar) - Display various debug information for Django.
- [django-silk](https://github.com/jazzband/django-silk) - Live profiling and inspection of HTTP requests and database queries for Django.
- [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call.
- [flask-debugtoolbar](https://github.com/pallets-eco/flask-debugtoolbar) - A port of the django-debug-toolbar to flask.
@@ -922,6 +939,7 @@ _Libraries for parsing and manipulating specific file formats._
- [tablib](https://github.com/jazzband/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
- File Conversion
- [markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.
- [pypandoc](https://github.com/JessicaTegner/pypandoc) - A thin wrapper for pandoc, the universal document converter.
- [docling](https://github.com/docling-project/docling) - Library for converting documents into structured data.
- Excel
- [openpyxl](https://openpyxl.readthedocs.io/en/stable/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
@@ -949,11 +967,14 @@ _Libraries for parsing and manipulating specific file formats._
_Libraries for file manipulation._
- [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
- [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) A cross-platform, object-oriented path library.
- [watchfiles](https://github.com/samuelcolvin/watchfiles) - Simple, modern and fast file watching and code reload in python.
- [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
- [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
- Paths and File Watching
- [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) A cross-platform, object-oriented path library.
- [watchfiles](https://github.com/samuelcolvin/watchfiles) - Simple, modern and fast file watching and code reload in python.
- [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events.
- File Type Detection
- [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types.
- [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library.
- [magika](https://github.com/google/magika) - Detects file content types with a deep-learning model.
**Media**
@@ -1069,6 +1090,7 @@ _Libraries for Python version and virtual environment management._
- [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments.
- [uv](https://github.com/astral-sh/uv) - An extremely fast Python version, package and project manager, written in Rust.
- [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management.
- [mise](https://github.com/jdx/mise) - A polyglot tool version manager that installs Python versions and reads .python-version files.
### Package Management
@@ -1141,10 +1163,13 @@ _Frameworks and tools for penetration testing._
### Supply Chain Security
_Tools for auditing dependencies against known vulnerabilities._
_Tools for auditing dependencies against known vulnerabilities and scanning for leaked secrets._
- [pip-audit](https://github.com/pypa/pip-audit) - Audits Python environments and dependency trees for known vulnerabilities, using the Python Packaging Advisory Database or OSV.
- [uv-audit](https://github.com/astral-sh/uv) - (part of uv) uv's [dependency vulnerability scanning](https://docs.astral.sh/uv/reference/cli/#uv-audit) backed by OSV.
- Dependency Audits
- [pip-audit](https://github.com/pypa/pip-audit) - Audits Python environments and dependency trees for known vulnerabilities, using the Python Packaging Advisory Database or OSV.
- [uv-audit](https://github.com/astral-sh/uv) - (part of uv) uv's [dependency vulnerability scanning](https://docs.astral.sh/uv/reference/cli/#uv-audit) backed by OSV.
- Secret Scanning
- [betterleaks](https://github.com/betterleaks/betterleaks) - Finds leaked secrets in git history, directories, and files, from the original author of gitleaks.
### Web Security
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@@ -39,7 +39,8 @@ Entries admitted as challengers without adoption-trajectory evidence, by maintai
- seleniumbase -- admitted 2026-08-16 (PR #3284) as a Browser Automation challenger. It wraps selenium, the successor trajectory in the use case belongs to playwright, and its distinct value is its stealth/UC mode. Admitted because that stealth value counts toward Browser Automation.
- semantica -- kept 2026-10-01 in the AI and Agents audit as a Data Layer challenger at 16,582 downloads/month on ClickPy, with no adoption-trajectory evidence found. Kept by maintainer decision.
- jev-ultrafast -- kept 2026-09-24 as a Web Scraping Frameworks challenger, recorded 2026-10-02. Admitted while the repo was under a month old and not on PyPI, so it has no download signal and no adoption-trajectory evidence; its README calls it an MVP and it needs a hosted TypeSafe API key. Kept by maintainer decision.
- hyperopt -- admitted 2026-10-16 as a Hyperparameter Optimization challenger at 1,793,872 downloads/month on ClickPy. Its 0.3.0 release came after a 4.5-year gap and it has no adoption-trajectory evidence. Admitted by maintainer decision.
- magika -- admitted 2026-10-16 as a File Type Detection challenger at 16,388,380 downloads/month on ClickPy. markitdown requires it, so most of that count is transitive, and no adoption-trajectory evidence was found. Admitted by maintainer decision.
### Cap Exceptions
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@@ -1,6 +1,7 @@
{
"autobahn-python": { "package": "autobahn", "reason": null },
"azure-sdk-for-python": { "package": null, "reason": "monorepo umbrella; ships as many azure-* packages, no single package represents it", "badge": "Multiple on PyPI" },
"betterleaks": { "package": null, "reason": "not published on PyPI" },
"cloud-init": { "package": null, "reason": "installed via distro images, not pip" },
"concurrent-futures": { "package": null, "reason": "stdlib module" },
"conda": { "package": null, "reason": "installed via Miniforge or Anaconda installers; PyPI conda is a stale 2017 upload" },
@@ -16,11 +17,11 @@
"google-cloud-python": { "package": null, "reason": "monorepo umbrella; ships as many google-cloud-* packages", "badge": "Multiple on PyPI" },
"graphify": { "package": "graphifyy", "reason": null },
"httpx-url": { "package": null, "reason": "class in the httpx package, not a package" },
"jev-ultrafast": { "package": null, "reason": "not published on PyPI" },
"jinja": { "package": "jinja2", "reason": "PyPI jinja is Jinja1; current releases publish as jinja2" },
"mem0": { "package": "mem0ai", "reason": null },
"micropython": { "package": null, "reason": "interpreter distributed as firmware builds, not pip" },
"mimetypes": { "package": null, "reason": "stdlib module" },
"mise": { "package": null, "reason": "not published on PyPI; PyPI mise is an unrelated package" },
"odoo": { "package": null, "reason": "self-hosted suite installed from odoo.com, not pip" },
"pangu-py": { "package": "pangu", "reason": null },
"playwright-python": { "package": "playwright", "reason": null },
+1
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@@ -1,5 +1,6 @@
{
"/categories/": "/",
"/categories/ai-and-agents/llm-inference-and-serving/": "/categories/ai-and-agents/llm-serving/",
"/categories/ai-and-agents/pre-trained-models-and-inference/": "/categories/ai-and-agents/pre-trained-models/",
"/categories/cli-development/cli-development/": "/categories/cli-development/",
"/categories/cli-tools/productivity-tools/": "/categories/cli-tools/",