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DVC AI

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Git-based version control for data, models, and machine learning workflows.

Añadido en:13 jul 2026
Visitantes mensuales:
101.6K
Redes sociales y correo electrónico:
Data Version ControlMachine LearningMLOpsData ScienceExperiment ManagementData Pipelines

Información de la herramienta

¿Qué es DVC AI?

DVC AI is an open-source Git extension for organizing, versioning, reproducing, and collaborating on data science and machine learning projects. It helps teams manage datasets, models, pipelines, metrics, parameters, and experiments through a Git-like workflow.

Características principales

  • Data and model versioning

    Track datasets and machine learning models alongside code, then create and switch between their versions.

  • Data pipelines

    Define pipelines with dependencies and outputs to help reproduce how datasets and machine learning artifacts were created.

  • Experiment management

    Manage parameters, track experiments, compare metrics, use experiment queues, and share experiments.

  • Data and artifact storage

    Use data management and remote storage workflows for datasets and machine learning artifacts.

  • Metrics and plots

    Track, compare, and visualize metrics and plots across experiments.

  • VS Code extension

    Use DVC through an extension for Visual Studio Code.

  • Python API

    Access DVC filesystems, artifacts, metrics, parameters, and source-control functionality through a Python API.

Casos de uso

  • #1

    Version datasets and models

    Track data and machine learning models alongside code and switch between their versions.

  • #2

    Build reproducible workflows

    Define data pipelines and understand how datasets and machine learning artifacts were produced.

  • #3

    Compare experiments

    Compare model metrics across experiments and visualize experiment plots.

  • #4

    Manage small machine learning projects

    Apply Git-like data version control to small data science projects with minimal overhead.

Lo mejor para:Individual data scientistsData science teamsAI/ML teamsData engineering teams

Planes de precios

The official site describes DVC as free and open source.

Alternativas

Preguntas frecuentes

What is DVC AI?
DVC AI is an open-source Git extension for versioning and managing data, machine learning models, pipelines, metrics, parameters, and experiments.
Is DVC AI free?
Yes. The official site describes DVC as free and open source.
What operating systems does DVC support?
The official documentation lists macOS, Windows, and Linux, along with a Visual Studio Code extension.
Can DVC version machine learning models and datasets?
Yes. DVC can track and save datasets and machine learning models, allowing users to create and switch between versions.
Does DVC support experiment tracking?
Yes. DVC supports experiment tracking, metric comparison, parameter management, experiment queues, and experiment sharing.
Does DVC work with cloud storage?
Yes. The official documentation lists storage integrations including Amazon S3 and Azure Blob Storage.
Who is DVC designed for?
DVC is designed for individual data scientists, data science teams, AI/ML teams, and data engineering teams.

DVC AI Contacto y redes sociales

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Información de la herramienta

Modelo de preciosOpen Source
CategoríaAnálisis de datos
Etiquetas
Data Version ControlMachine LearningMLOpsData ScienceExperiment ManagementData Pipelines
Idiomaingles
Última actualización16 jul 2026