Showing 2981-3000 of 3,485 projects
Media Type Database for JavaScript, providing a comprehensive list of MIME types and their corresponding data.
An unofficial Python wrapper for the TradingView technical analysis API, enabling financial data analysis.
A C++ library for processing data streams, potentially useful for vibe coders working with AI-powered tools.
An open-source Python framework for processing Earth observation data using machine learning.
Java Indexed Record Chronicle is a Java library for efficient and scalable data storage.
A radix tree implementation in ANSI C for efficient data storage and retrieval.
.NET's fastest JSON, CSV, and JSV serialization library for high-performance text data processing.
A portfolio of data science projects covering machine learning, NLP, and more for personal and academic use.
A React hook that persists data in localStorage, making it easy to build stateful React apps with offline support.
Index your Gmail account to a SQLite DB and perform custom data analysis on your email.
A library that provides an abstraction for React components, enabling fast top-down rendering with immutable data.
A public dataset of daily COVID-19 cases and deaths per country, useful for data analysis and visualization.
A Cuckoo Filter implementation in Go, a data structure for efficient membership testing.
The Data Change Processing platform, a C# library for building CDC (change data capture) and change detection systems.
A fast C-based implementation of Dynamic Time Warping, a popular algorithm for comparing time series data.
A small strings compression library written in C for reducing the size of string data.
A data-driven compute platform for building scalable, high-performance applications with AI/ML capabilities.
A JavaScript library that provides transparent reactivity using ES6 proxies for data binding.
A high-performance, persistent, off-heap data structure written in Clojure for data-intensive applications.
A real-time performance monitoring tool for Android and iOS apps to measure CPU, memory, and network usage.
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