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DVC

Data Version Control for machine learning projects

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About DVC

At its core, DVC is an open-source tool for versioning data and models in ML projects, built on top of Git. In practice, it adds pipelines, experiment tracking and storage-agnostic data management to ML workflows. For data teams, that translates into faster answers and fewer manual hand-offs between collection, preparation and the people who actually use the results.

DVC key facts

About the Data & Analytics category

Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside DVC, it includes Label Studio, Argilla, Snorkel AI, Scale AI.

FreeData & Analyticsdata-versioningmlopen-source

More in Data & Analytics

Comparing tools in the Data & Analytics category? These related listings are worth a look: Label Studio — Open-source data labeling platform for many data types; Argilla — Data curation platform for LLM and NLP datasets; Snorkel AI — Programmatic data labeling and AI data development.

LData & Analytics

Open-source data labeling platform for many data types

Freemiumlabelingtraining-dataopen-source
AData & Analytics

Data curation platform for LLM and NLP datasets

Freedatasetsannotationllm
SData & Analytics

Programmatic data labeling and AI data development

Paiddata-labelingweak-supervisionenterprise
SData & Analytics

Data engine for training and evaluating AI models

Paidtraining-datarlhfenterprise
LData & Analytics

Training data platform for AI model development

Freemiumlabelingdatasetsevaluation
EData & Analytics

Data platform for visual AI and multimodal models

Paidcomputer-visionannotationdata