#Experiment-tracking
Showing 12 of 12 repositories tagged #experiment-tracking, ranked by stars
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Visualise your Kedro data and machine-learning pipelines and track your experiments.
A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
A Clojure machine learning library
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Experiment tracking server focused on speed and scalability
Metadata store for Production ML
2 Lines of code to track ML experiments + EDA + check into Github
A controlled-experiment lab for studying how tool-using LLM agents behave — vary tools, personas, and conversation histories, run repeated trials across models, and measure the effect on safety and tool-call behavior.
A full-stack platform that unifies ETL pipeline management and ML experiment tracking in a single real-time dashboard. FastAPI backend + React frontend + WebSocket live updates + AutoML with GridSearchCV. Run the whole stack in two terminals.