Git for data scientists - manage your code and data together

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  • License: Apache License 2.0
  • Author: Dmitry Petrov
  • Tags data science, data version control, machine learning
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Project description

Travis Windows Build Code Climate Codecov

Website • Docs • Discuss • Blog • Twitter • Tutorial

Data Science Version Control or DVC is an open source tool for data science projects. It helps data scientists manage their code and data together in a simple form of Git-like commands.

Get started

Step

Command

Track code and data together
$ git add train.py
$ dvc add images.zip

Connect code and data by commands
$ dvc run -d images.zip -o images/ unzip -q images.zip
$ dvc run -d images/ -d train.py -o model.p python train.py

Make changes and reproduce
$ vi train.py
$ dvc repro model.p.dvc

Share code
$ git add .
$ git commit -m 'The baseline model'
$ git push

Share data and ML models
$ dvc remote add myremote s3://mybucket/image_cnn
$ dvc core.remote myremote
$ dvc push

Follow this link to learn more and get more details: get started.

Installation

It could be installed using pip, Homebrew or an OS-specific package.

pip install dvc

Package

Self-contained packages for Windows, Linux, Mac are available. The latest version of the packages can be found at GitHub releases page.

Homebrew

brew install iterative/homebrew-dvc/dvc

or:

brew cask install iterative/homebrew-dvc/dvc

How DVC works

how_dvc_works

Contributing

Contributions are welcome! Please see our Contributing Guide for more details.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dmpetrov from gravatar.com dmpetrov Avatar for shcheklein from gravatar.com shcheklein

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License 2.0
  • Author: Dmitry Petrov
  • Tags data science, data version control, machine learning
Classifiers

Release history Release notifications | RSS feed

3.56.0

3.55.2

3.55.1

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2.58.2

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0.94.1

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0.17.1

0.17.0

0.16.6

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This version

0.15.3

0.15.2

0.15.1

0.15.0

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

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0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.8.6

0.8.5

0.8.4

0.8.2

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