Best Open-Source ML Experiment Tracking | open-source.storeAll categoriesML Experiment Tracking
Machine learning experiment trackers, hyperparameter loggers, and model registries.
6 tools found 
MLflow
MLflow replaces Weights & Biases with a self-hosted platform for ML experiment tracking, model registry governance, and agent observability.
28.6kLinuxDockerWeb1d ago Apache-2.0ML Experiment Tracking
DVC
DVC replaces proprietary MLOps platforms like Domino Data Lab with a Git-based CLI for versioning datasets, tracking pipelines, and managing experiments.
16.0kLinuxmacOSWindowstoday Apache-2.0ML Experiment Tracking
ClearML
ClearML is an open-source MLOps platform replacing ClearML Pro and Weights & Biases with self-hosted experiment tracking and GPU compute orchestration.
Apache-2.0ML Experiment Tracking
Aim
Aim is a self-hosted alternative to Comet ML and Weights & Biases that stores ML training metrics in embedded RocksDB for fast local run comparison.
Apache-2.0ML Experiment Tracking
Sacred
Sacred is an open-source Python library for ML experiment tracking that automates parameter injection, artifact logging, and environment reproducibility.
4.4kLinuxmacOSWindows1y ago MITML Experiment Tracking
mlop
mlop is an open-source, self-hosted alternative to Weights and Biases for ML experiment tracking, featuring a high-throughput Rust ingestion engine.
Apache-2.0ML Experiment Tracking
Lint, codegen, breaking-change checks and dependency management in one Git-native CLI. Open source, no registry lock-in.
lintgeneratebreakingeasyp.lock
Windows
today
Apache-2.0ML Experiment Tracking
Web
today
Apache-2.0ML Experiment Tracking
Web
2d ago
Apache-2.0ML Experiment Tracking
EasyPPromoted