DVC Alternatives

Compare 25 dvc alternatives tools to find the right one for your needs

šŸ”§ Tools

Compare and find the best dvc alternatives for your needs

Dolt

It's Git for data.

A SQL database that you can fork, clone, branch, merge, push and pull just like a Git repository.

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Weights & Biases

The AI developer platform.

A platform for experiment tracking, data versioning, and model management for machine learning.

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ClearML

The open-source MLOps platform.

An open-source, end-to-end MLOps platform for experiment management, workflow automation, and data management.

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CML (Continuous Machine Learning)

Open-source CI/CD for Machine Learning.

An open-source library for implementing CI/CD in machine learning projects.

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Guild AI

The Experiment Tracking and Automation Tool for Machine Learning.

An open-source tool for running, tracking, and comparing machine learning experiments.

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lakeFS

Git for data. Transform your data lake into a Git-like repository.

An open-source platform that delivers resilient, high-quality data through Git-like operations on your data lake.

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Comet

The MLOps platform for the enterprise.

A self-hosted and cloud-based MLOps platform for experiment tracking, model management, and model production monitoring.

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DAGsHub

The home for open source machine learning.

A platform for data scientists and ML engineers to version their data, models, and code, and to collaborate on ML projects.

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Tecton

The Enterprise Feature Platform.

A feature platform for machine learning that helps teams build, deploy, and manage features for their models.

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Metaflow

A human-friendly Python library for building and managing real-life data science projects.

A Python library that helps scientists and engineers build and manage real-life data science projects.

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Kedro

A Python framework for creating reproducible, maintainable and modular data science code.

An open-source Python framework for creating reproducible, maintainable, and modular data science code.

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Neptune.ai

The MLOps platform for experiment tracking and model registry.

A metadata store for MLOps, built for research and production teams that run a lot of experiments.

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Git LFS

Git Large File Storage.

An open-source Git extension for versioning large files.

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Valohai

The MLOps Platform for Machine Learning Pioneers.

An MLOps platform that automates the machine learning pipeline, from training and hyperparameter tuning to deployment.

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Domino Data Lab

The Enterprise AI Platform.

An enterprise MLOps platform that accelerates the development and deployment of data science work.

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Flyte

A structured programming and distributed processing platform for highly concurrent, scalable, and maintainable workflows.

An open-source, container-native, structured data and ML workflow orchestration platform.

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MLflow

An open source platform for the machine learning lifecycle.

An open-source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

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Polyaxon

The MLOps Platform for Reproducible and Scalable Machine Learning.

A platform for building, training, and monitoring machine learning and deep learning models.

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Iguazio

The MLOps Platform for Real-Time AI.

An MLOps platform that simplifies the development, deployment, and management of AI applications.

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Seldon

Take your ML models to production.

An open-source MLOps platform for deploying, managing, and monitoring machine learning models on Kubernetes.

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Feast

The open source feature store.

An open-source feature store for managing, discovering, and serving features for machine learning.

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Sacred

A tool to help you configure, organize, log and reproduce experiments.

An open-source Python library for configuring, organizing, logging, and reproducing computational experiments.

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Pachyderm

Automate your entire machine learning lifecycle with data-driven pipelines.

An open-source data science platform that provides data versioning, pipelines, and lineage.

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Algorithmia

Enterprise MLOps and Model Management.

An enterprise MLOps platform for securing, scaling, and managing machine learning models.

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Kubeflow

The Machine Learning Toolkit for Kubernetes.

An open-source project dedicated to making deployments of machine learning workflows on Kubernetes simple, portable, and scalable.

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