tbls is a CI-Friendly tool to document a database, written in Go.
- database-schema
- mysql
- database-document
- documentation-tool
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tbls is a CI-Friendly tool to document a database, written in Go.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A library to support tests with throwaway instances of Docker containers for all compatible .NET Standard versions.
Receive-only Wi-Fi and Bluetooth LE observer for Android. MIT.
A small self-contained alternative to readline and libedit
🏗️ Run a module in a Web Worker.
Python package for the evaluation of odometry and SLAM
Triton is a dynamic binary analysis library. Build your own program analysis tools, automate your reverse engineering, perform software verification or just emulate code.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Unobtrusive page transitions with jQuery.
A small speech recognizer
Use WTM to write .netcore app fast !!!
A complete 3-D game development suite written in Java.
C library for building user interfaces
A Python Object-Document-Mapper for working with MongoDB
Main game repository for Beyond All Reason.
A utility for mocking out the Python Requests library.
SSH server & client security auditing (banner, key exchange, encryption, mac, compression, compatibility, security, etc)
Free and open-source PDF editor for Windows with a built-in PDF 2.0 engine. View, annotate, OCR, merge, split, crop, rotate, compare, edit text, draw, sign, fill forms, print, flatten, and open password-protected PDFs without a subscription.
Highly customizable & feature rich notifications. Interactive dismiss. Custom Views. SwiftUI. Tap-to-hold. Progress. Written in Swift, compatible for ObjC!
modular quant framework.
Add/change/delete surrounding delimiter pairs with ease. Written with :heart: in Lua.
FlatLaf - Swing Look and Feel (with Darcula/IntelliJ themes support)
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.