#html #book #bytecode #c #compiler #interpreter #java #language #lox #markdown #parser #scripting_language

https://github.com/munificent/craftinginterpreters

#go #json #json_parser #parser #perfomance

https://github.com/buger/jsonparser

#go #bash #beautify #formatter #interpreter #mksh #parser #posix #shell #shfmt

https://github.com/mvdan/sh

#rust #hacktoberfest #javascript #javascript_linter #linter #parallel #parser

https://github.com/RDambrosio016/RSLint

#typescript #calculation_engine #crud #data_grids #evaluator #formula #gpu_acceleration #graph #javascript #parser #performance #smart_documents #spreadsheet

https://github.com/handsontable/hyperformula

#typescript #interpreter #javascript #parser #programming_language

https://github.com/DulLabs/bhai-lang

#rust #context_free_grammar #errors #parser #parser_combinators #peg #recursive_descent_parser

https://github.com/zesterer/chumsky

#java #abstract_syntax_tree #ast #code_analysis #code_generation #code_generator #javadoc #javaparser #javasymbolsolver #parser #syntax_tree

https://github.com/javaparser/javaparser

#rust #events #forwarder #logs #metrics #observability #parser #pipeline #router #rust #stream_processing #vector

Vector is a powerful tool for managing your observability data, such as logs and metrics. It allows you to collect, transform, and route your data to any vendor you choose, giving you full control. Vector is reliable, fast (up to 10x faster than alternatives), and secure. It helps reduce costs, improve data quality, and consolidate agents, making your observability processes more efficient and reliable. With a strong community support and extensive documentation, Vector is used by many big companies and is downloaded over 100,000 times daily. This makes it a valuable tool for anyone looking to manage their data effectively.

https://github.com/vectordotdev/vector

#python #ai4science #document_analysis #extract_data #layout_analysis #ocr #parser #pdf #pdf_converter #pdf_extractor_llm #pdf_extractor_pretrain #pdf_extractor_rag #pdf_parser #python

MinerU is a tool that converts PDFs into machine-readable formats like markdown or JSON. Here are the key benefits and features MinerU removes headers, footers, and other unnecessary elements to ensure the text is semantically coherent and in human-readable order, even for complex layouts.
- **Structure Preservation** It extracts images, image descriptions, tables, and table titles.
- **Formula Conversion** Recognizes tables and converts them to LaTeX or HTML format.
- **OCR Support** Supports multiple output formats and various visualization results.
- **GPU and CPU Compatibility**: Works on both CPU and GPU environments, compatible with Windows, Linux, and Mac.

You can try MinerU through an online demo, a quick CPU demo, or by using a GPU for faster processing. For detailed usage, refer to the command line options, API integration, and deployment guides provided.

https://github.com/opendatalab/MinerU