DVC

DVC (Data Version Control) is an open-source platform for managing datasets, machine learning models, and AI workflows. It extends Git with data and model versioning capabilities, enabling teams to track changes, reproduce experiments, and automate machine learning pipelines. This pre-configured Ubuntu 26.04 LTS environment includes DVC, Python 3, Git, and supporting tools for scalable data science, MLOps, and machine learning project management.

Features of DVC:

• Versions large datasets and machine learning models alongside Git repositories.
• Tracks experiments and enables reproducible machine learning workflows.
• Supports automated data pipelines and workflow orchestration.
• Integrates with cloud storage providers including AWS S3, Azure Blob Storage, Google Cloud Storage, and SSH servers.
• Enables collaboration between data scientists, engineers, and ML teams.
• Provides data provenance and end-to-end reproducibility for AI projects.
• Supports local and remote storage backends for scalable data management.
• Includes DVC, Python 3, and Git on Ubuntu 26.04 LTS.

DVC usage:

$ sudo su
$ source /opt/dvc-env/bin/activate
$ dvc version

Disclaimer: DVC is an open-source data and machine learning version control platform developed and maintained by the DVC community. Users are responsible for configuring, securing, validating, and maintaining their datasets, machine learning models, pipelines, storage backends, and integrations according to their organizational, operational, and compliance requirements.