Scriptable database and system performance benchmark
Repository Index
47,133 repositories indexed
1–23 of 23 · Most stars
Performance monitoring and benchmarking suite
- likwid
- hardware-performance-counters
- threading
- x86
Elegant Lua unit testing.
- lua
- testing
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
Assertion library for Lua
Power Assert in Elixir. Shows evaluation results each expression.
- power-assert
- testing-tools
- assertion-library
- assert
A Neovim plugin to easily run and debug Jest tests
A Neovim wrapper for running tests
Lightweight Lua test framework
Run your tests inside nvim in split window or popup with live feedback
- go
- golang
- lua
- neovim
Easy NMOS setup an testing using Docker compose/available containers
xUnit-style + randomized unit testing framework for Lua (and C projects using Lua, etc.)
LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.
- agent-evaluation
- evaluation-framework
- evaluation-metrics
- java
GitHub workflow for automatically generating Luarocks releases from tags and running busted tests
- automation
- busted
- cicd
- luarocks
Go Coverage for Neovim
Artifact evaluation of paper: MorFuzz: Fuzzing Processor via Runtime Instruction Morphing enhanced Synchronizable Co-simulation
Test harness for voice agents. Import from Retell, VAPI, Bland, LiveKit. Run autonomous simulations. Evaluate with LLM judges.
- bland
- dspy
- livekit
- llm
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
- jmeter
- python
- performance
- performance-testing
Neovim plugin for displaying code coverage
The E2E AI testing tool | No ML Overhead
Neotest adapter for running busted tests using neovim as a lua interpreter
- busted
- neotest
- neovim
- neovim-plugin
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
- ai-agents
- ai-testing
- llm
- llm-evaluation
Framework-agnostic evaluation harness for Go — test your MCP servers and AI agents with scored, CI-ready checks.