data-version-control

Dolt – Git for Data

🦉 Data Versioning and ML Experiments

lakeFS - Data version control for your data lake | Git for data

Quilt is a data mesh for connecting people with actionable data

Metrics Observability & Troubleshooting

sgr (command line client for Splitgraph) and the splitgraph Python library

A curated list to help you manage temporal data across many modalities 🚀.

Git based Version Control File System for joint management of code, data, model and their relationship.

Data version control for reproducible analysis pipelines in R with {targets}.

Meta data server & client tools for game development

Mount remote repositories, models and datasets managed by Git LFS instantly.

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

Git-like data versioning.

SageMaker Experiments and DVC

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

A CKAN extension for data versioning.

Python Data as Code core implementation

Deprecated. See https://github.com/datopian/ckanext-versions. ⏰ CKAN extension providing data versioning (metadata and files) based on git and github.

A JSON-based format for working with machine learning data, with a focus on data interoperability.