Model Data and Experiment Management

Aim is an open-source tool designed to track, search, and compare machine learning experiments. It logs training runs, m...

ClearML is an open-source MLOps platform designed to automate experiment tracking, dataset versioning, and model managem...

Dolt is a version-controlled SQL database that combines the functionality of a relational database with Git-like operati...

DVC (Data Version Control) is an open-source tool designed to manage machine learning models, data, and experiments usin...

Keepsake is an open-source tool designed to version control machine learning experiments by tracking code, data, and mod...

KitOps provides a standardized way to package, version, and share AI/ML models, datasets, and experiments. It integrates...

lakeFS provides version control for data lakes, enabling atomic commits, branching, and rollback capabilities on top of ...

Neptune is a metadata store for MLOps focused on tracking, versioning, and managing machine learning experiments. It ena...

Polyaxon is an open-source platform for managing machine learning workflows, enabling teams to track experiments, automa...

Quilt is an open-source platform for versioning, managing, and deploying datasets and machine learning models. It focuse...

Sacred is a Python library designed to manage and track machine learning experiments, providing tools for configuration,...

TerminusDB is a graph database management system designed for version-controlled data storage and collaboration, functio...