Developer Tools

DSP.jl provides Julia routines for digital signal processing, including filter design, periodograms, convolution, and window functions.

CodeAlmanac builds a codebase wiki for AI coding agents, capturing decisions, flows, and project invariants.

Jupyter Server documentation explains the server that supports Jupyter notebook applications.

Awesome TUI catalogs open-source terminal user-interface applications for discovery and browsing.

Voice Lab provides a framework for testing and evaluating voice agents.

Cynative provides security agents that audit cloud, code, and runtime environments for exposure and privilege issues.

JSON Hero provides a web interface for reading and exploring JSON files.

Lighthouse Metrics runs website performance tests from multiple global locations.

Tablecloth provides a dataset manipulation API for the tech.ml.dataset library.

Neural network inference on mobile devices is the focus of ncnn, a software framework optimized for mobile platforms.

CML provides continuous machine learning and CI/CD workflows for machine learning projects.

Android Asset Studio offers tools for generating app assets such as launcher icons.

ai-i18n translates application localization files with language models and commits changed translations through GitHub Actions.

MatlabBGL is a graph library that provides graph algorithms and tools for MATLAB users.

Choose a License offers guidance to help developers select an open-source license for a project.

Laminar provides open-source observability tools designed for applications built with AI agents.

OpenHands supports AI-driven software development through its development agent project.

CodeImage helps developers organize code snippets and create shareable screenshots of source code.

DataFrames.jl provides in-memory tabular data structures and tools for working with data in Julia.

deobfuscate.io removes common JavaScript obfuscation techniques from code.

Use LLM, a command-line utility and Python library, to interact with large language models.

Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.

This online Markdown editor lets users write Markdown and view rendered examples alongside a tutorial.

CSS3 Transform Visualizer lets users explore and preview two-dimensional and three-dimensional transform functions.