rust-lang/regex

re2 is a C++ regular expression library designed for high-performance text processing. It is a non-backtracking regex engine that provides linear-time pattern matching, ensuring that execution time remains proportional to the size of the input string regardless of the pattern used. The library supports UTF-8 and Latin-1 text encodings for searching and extracting substrings. It includes capabilities for multi-pattern optimization, allowing multiple regular expressions to be combined into a single representation to scan text for several patterns in one pass. The project covers core regex oper

The Silver Searcher is a high-performance text search utility and regex code search tool designed to locate strings and regular expressions within plain text and source code. It functions as a codebase pattern matcher that provides highlighted results with surrounding line context and respects standard ignore files. The utility includes specialized capabilities for searching inside zlib and lzma compressed archives. It implements high-throughput processing via parallel-threaded file scanning and just-in-time regular expression compilation. The tool's search and indexing surface covers output

pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns for advanced Python development, system integration, and high-performance computing. It serves as a comprehensive guide for implementing low-level network programming, native C extensions, and asynchronous and concurrent programming. The project provides specialized frameworks for the development and deployment of large language models, including tools for distributed GPU inference and high-performance serving. It also includes detailed patterns for high-performance computing

Bloop is an AI code analysis tool and semantic search engine designed for understanding and querying large-scale codebases. It utilizes a high-performance indexing system written in Rust to enable fast symbol and text retrieval across multiple programming languages. The project differentiates itself by using on-device embeddings for semantic code search, allowing users to locate logic based on meaning and intent rather than exact keywords. It combines a language model with a retrieval-augmented generation approach to provide a natural language interface for conversational querying and the gen