Open-source alternatives to Python Ftfy

This project is a formal markdown specification standard that provides a detailed markup syntax definition and a definitive set of rules for parsing plain text into consistent HTML output. It establishes a standardized grammar for structural blocks and inline elements to ensure uniform rendering across different software implementations. The specification is supported by a parser conformance suite and a reference implementation in C and JavaScript to verify that implementations adhere to the standard. It includes a system for implementation verification that compares transformed input strings

Commonmark.js is a library designed to parse and render text formatted according to the CommonMark specification. It functions as a document processing pipeline that converts plain text into structured HTML or an abstract syntax tree, enabling developers to programmatically inspect, modify, and transform document elements. The library distinguishes itself through its strict adherence to standardized parsing rules, ensuring consistent and predictable output across different software environments. It provides a robust framework for document tree manipulation, allowing users to traverse, insert,

This is a Rust regular expression library that provides a finite automata engine for searching and matching text patterns. It functions as a Unicode-compliant text scanner designed to guarantee linear time execution on all inputs to prevent catastrophic backtracking. The engine supports both single and multi-pattern search capabilities, allowing it to scan a piece of text for multiple regular expressions simultaneously. It operates on both strings and raw byte slices to identify matching text segments. The library covers text parsing, string validation, and pattern searching. It includes cap

sqlean is a collection of SQLite extension libraries implemented as C-based shared libraries. It provides a suite of additional scalar and table-valued functions that expand the native capabilities of the SQLite database engine. The project provides specialized toolsets for cryptography, advanced mathematics, networking, and filesystem access. These include binary hashing and encoding, statistical analysis, IP address validation, and the ability to map CSV files or filesystem paths as virtual tables. The library also includes comprehensive text processing tools such as regular expressions, f

Oils is a Unix shell interpreter and scripting language runtime that combines a modern shell language with POSIX and Bash compatibility. It functions as a structured data shell, integrating JSON and J8 formats to manage complex data without relying on string parsing. The system is distinguished by a C++ transpiled interpreter that converts a subset of Python source code into strongly typed C++ for high-performance execution. It features a garbage-collected typed runtime that supports prototype-based polymorphism, lexical closures, and reference-based variable mutation. To decouple shell logic

This project is a PHP compatibility layer that implements multi-byte string functions for environments where the native Mbstring extension is not installed. It serves as a library for processing text in various character encodings to ensure consistent string handling across different servers. The library provides a set of tools for internationalization text handling, allowing for the processing of non-English characters and diverse languages. It ensures correct string length and manipulation for text containing characters beyond the basic ASCII set.

CotEditor is a native macOS plain text editor designed for lightweight file modification and developer use. It is a desktop application built specifically for the macOS operating system to ensure high performance and system integration. The project functions as a text encoding manager, providing the ability to process and convert a wide range of plain text formats and legacy character encodings to prevent corruption and display errors. Its capabilities cover plain text editing, lightweight code editing for scripts and configuration files, and general macOS text processing.

Ciphey is an automated decryption and data obfuscation tool designed to identify and reverse complex, multi-layered encoding schemes. By utilizing statistical analysis and probability scoring, the system automatically detects unknown data formats and recovers human-readable plaintext from obfuscated input strings without requiring manual algorithm specification. The tool distinguishes itself through a recursive pipeline that processes nested data structures and strips formatting anomalies or invisible characters to ensure consistent input. It employs a heuristic search and multithreaded execu

This project is an ECMAScript 2015 reference guide and JavaScript language cheat sheet. It provides a concise summary of the language specifications, syntax updates, and new features introduced in the 2015 standard. The guide serves as a technical overview of modern language patterns used to manage modular code structures and asynchronous operations. It functions as a reference for implementing current coding standards and studying core updates to the language. The content covers a wide range of capabilities, including asynchronous programming, object modeling, and module management. It deta

Libpostal is a C library designed for international address parsing and normalization. It utilizes statistical NLP and a language classifier to decompose unstructured global address strings into structured components and standardize street addresses by expanding abbreviations and resolving regional naming variations across multiple languages. The project provides tools for text transliteration, converting various scripts into standardized Latin-ASCII or NFD forms. It also includes capabilities for address deduplication, using symmetric fuzzy matching to identify whether different address reco

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

cppformat is a type-safe C++ formatting library that serves as a high-performance alternative to standard C++ input and output streams for converting data into formatted strings. It integrates a compile-time format validator to ensure format specifiers match argument types, preventing runtime crashes. The library includes a positional argument engine that enables the reordering of text arguments for internationalization and localization. It also features a Unicode text formatter to ensure consistent and portable character representation across different operating systems. The project provide

Super-expressive is a zero-dependency JavaScript library and domain-specific language used to construct complex regular expressions. It functions as a pattern generator that uses natural language syntax to produce native regular expression objects or strings, supporting international text standards through Unicode property matching. The library replaces manual string manipulation and escaping with a method-chaining fluent interface. It allows for modular expression composition, enabling the creation of reusable pattern hierarchies where existing expression instances can be nested as subexpres

This library is a header-only C++ framework that performs regular expression evaluation and static string analysis during the compilation phase. By leveraging template metaprogramming and constant expression evaluation, it transforms pattern matching logic into static state machines, effectively shifting the cost of parsing and validation from runtime to build time. The project distinguishes itself by encoding text data directly into the type system, allowing for the validation and extraction of string content before a program ever executes. This approach ensures that regular expression patte

node-crawler is a programmable web crawler for Node.js that manages request queues and automates data extraction. It functions as a rate-limited HTTP client and a headless HTML parser, providing the infrastructure to visit large sets of URLs asynchronously while preventing duplicate processing through task deduplication. The project distinguishes itself through a proxy rotation manager that cycles user agents and proxy servers to bypass access restrictions. It utilizes the HTTP/2 protocol to improve request performance and server compatibility during large-scale scraping operations. The syst

This is a Windows application for automatic speech recognition that transcribes spoken audio from video files into timestamped SRT subtitle files. It serves as a subtitle generator and translation tool that converts media speech into synchronized text. The software functions as a batch media transcriber, allowing the simultaneous processing of multiple audio and video files to generate subtitles in bulk. It includes a translation workflow to convert transcriptions between different languages for the creation of bilingual or localized files. The system also provides text refinement capabiliti

This project is a comprehensive instructional resource and course for building neural networks using PyTorch. It covers the fundamental building blocks of deep learning, including tensor manipulation, automatic differentiation, and the construction of modular neural network components. The repository serves as a technical guide for several specialized domains. It provides implementation details for computer vision tasks such as image classification, object detection, and semantic segmentation, as well as natural language processing workflows involving transformers, recurrent networks, and gen

CrawlerTutorial is a comprehensive Python web scraping tutorial and framework designed for extracting data from static and dynamic websites. It functions as a web data extraction pipeline and an HTTP request orchestrator, covering the full lifecycle of scraping applications from initial fetching to final data storage. The project provides specialized guidance on anti-bot bypass techniques and web API reverse engineering. It includes methods for evading browser detection through identity masking and proxy rotation, as well as techniques for identifying hidden API endpoints by analyzing network

Spark NLP is a toolkit for scalable text analysis and machine learning built on the Apache Spark distributed computing framework. It provides a multimodal machine learning framework and a distributed pipeline system for sequencing annotators to process large-scale linguistic data. The library includes a transformer text processor for generating contextual vector embeddings and a dedicated inference engine for managing large language models. The project distinguishes itself through its ability to process heterogeneous data types, including text, audio, and images, within a unified vision-langu

NSString+FontAwesome

A declarative struct-tag-based HTML unmarshaling or scraping package for Go built on top of the goquery library

Parse, query and modify XML easily in go

Bleve is a search indexing engine library written in Go, designed to provide full-text search and document retrieval capabilities for embedded application data. It functions as a framework for indexing structured or unstructured information, allowing developers to build searchable collections that support complex query logic and data analysis. The engine distinguishes itself through a pluggable analysis pipeline that normalizes text before indexing, alongside support for vector similarity search to identify semantically related content. It utilizes finite-state transducer automata for efficie