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ch.at is a lightweight language model chat service accessible through HTTP, SSH, DNS, and an OpenAI-compatible API, plus a public agent board with posts, replies, feeds and search. It requires no JavaScript or tracking, and bots are welcome. State is held in RAM only, so a restart loses all data.
Chart.js is an open source JavaScript charting library for the modern web, described as simple yet flexible. It supports eight animated and customisable chart types and renders on HTML5 Canvas across modern browsers, redrawing charts on window resize. Version 4.0 added a colors plugin and tree-shaking to reduce bundle size.
ClearTK is a framework for developing statistical natural language processing components in Java, built on top of Apache UIMA. It is developed by the Center for Computational Language and Education Research (CLEAR) at the University of Colorado at Boulder. The project is built with Maven, and the repository includes sub-projects such as cleartk-feature and modules for several machine learning libraries.
CMUSphinx is an open source speech recognition system for mobile and server applications. It supports C, C++, C#, Python, Ruby, Java and JavaScript, and Unix, Windows, iOS, Android and hardware platforms. The related PocketSphinx 5.1.0 release adds Python 3.14 support and pre-built wheels for Linux/arm64.
D3.js is a JavaScript library for bespoke data visualization developed by Observable. It enables creation of custom dynamic visualizations with features including selections and transitions, scales and axes, shape rendering, interactive behaviors, layout algorithms, and geographic map projections. The library also powers Observable Plot, a high-level visualization API.
An open-source JavaScript visualization library that streamlines the creation of beautiful and accessible SVG data visualizations.
Dash is an open-source Python library for building data applications and dashboards without requiring JavaScript expertise. It is maintained by Plotly and hosted on the company's public GitHub repository, where users can access source code and contribute to the project.
A lightweight framework for data analysis in JavaScript.
Datumbox is an open-source machine learning framework written in Java for rapid development of machine learning and statistical applications. It focuses on including many machine learning algorithms and statistical methods and on handling large datasets. The code is licensed under the Apache License, Version 2.0, and releases are available on Maven Central, including version 0.8.2.
dc.js is a JavaScript charting library with native crossfilter support for exploring large multi-dimensional datasets. It uses d3 to render charts in CSS-friendly SVG format. Charts are data driven and reactive, providing instant feedback to user interaction. The library is described as usable in the browser and on mobile devices.
DuckDB is an analytical in-process SQL database management system. It is a high-performance analytical database system designed to be fast, reliable, portable and easy to use, with a rich SQL dialect supporting nested correlated subqueries, window functions, collations and complex types. It is available as a standalone CLI application with clients for Python, R, Java and Wasm.
dygraphs is a fast, flexible open source JavaScript charting library that allows users to explore and interpret dense data sets. Charts are interactive, with zoom, pan and mouseover available by default, and the library handles very large data sets. It works in all recent browsers.
ELKI is an open source data mining software written in Java. It focuses on research in algorithms, emphasizing unsupervised methods in cluster analysis and outlier detection, and offers data index structures for performance and scalability. It is designed for researchers and students to extend.
Google Agent Development Kit (ADK) is an open toolkit for building powerful multi-agent systems and production-grade agents. It supports multiple programming languages including Python, JavaScript, Go, Java, and Kotlin, and offers features such as graph workflows, multi-agent collaboration, and integration with various AI models including Gemini, Claude, and OpenAI.
GreatCircle is a concise collection of classes for PHP, Python, JavaScript, Ruby, and Go that calculate great circle distance, bearing, and destination from geographic coordinates, hosted in the mwgg/GreatCircle GitHub repository.
GritQL is a declarative query language from Grit for searching and modifying source code. It lets users search with code snippets and metavariables, define custom lints, and apply auto-fix rules, and it supports rewriting JavaScript/TypeScript, Python, JSON, Java, Terraform, Solidity, CSS, Markdown, YAML, Rust, Go and SQL.
Half Beer is an open-source JavaScript example project that demonstrates a neural network learning to predict whether a beer glass is perceived as half full or half empty based on user decisions. It is built using the synaptic.js neural network library.
High Charts is a JavaScript charting library designed for use in web applications, dashboards, grids and frameworks including React. It offers products for core charting, stock data, maps, Gantt charts, grids and dashboards, and is used by a large number of global enterprises. The library provides built-in adaptive functionality and extensive customization options for interactive data visualizations.
Highcharter is an R wrapper for the Highcharts JavaScript charting library and its modules, delivered through an htmlwidget. The hchart(x) function charts data frames, vectors, ts, xts, forecast and survfit objects. It supports Highstock candlestick charts, Highmaps choropleth charts, themes, and plugins. Highcharts offers a commercial license and a free non-commercial license; the package does not provide a Highcharts license.
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
HTML widgets are R packages that produce interactive web visualizations, working like R plots. A line or two of R code produces a D3 graphic or Leaflet map. Widgets run at the R console and can be embedded in R Markdown reports and Shiny web applications. The page lists widget examples including Leaflet, dygraphs, Plotly and Highcharter, and describes composing dashboards with flexdashboard and linking widgets with crosstalk. New widgets can be developed by bridging R and JavaScript.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source Java scientific computing library for JVM and Android platforms, with SciPy-like APIs for use in machine learning and data science workflows. It provides functionality for signal processing, FFT, filters, PSD, and DCT operations.
JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
