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Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Get your documents ready for gen AI
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Data validation using Python type hints
Unified framework for building enterprise RAG pipelines with small, specialized models
Pythonic HTML Parsing for Humans™
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
Datetimes for Humans™
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
🌐 The easiest way to parse and modify URLs in Python.
Useful extensions to the standard Python datetime features
Python library for creating PEG parsers
Parsing ELF and DWARF in Python
Super timeline all the things
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
A Python library that provides an easy way to identify devices like mobile phones, tablets and their capabilities by parsing (browser) user agent strings.
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols