Git for data scientists - manage your code and data together

Navigation

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

Project description

https://img.shields.io/travis/dataversioncontrol/dvc/master.svg?label=Linux%20%26%20Mac%20OS https://img.shields.io/appveyor/ci/dataversioncontrol/dvc/master.svg?label=Windows https://codeclimate.com/github/dataversioncontrol/dvc/badges/gpa.svg https://codecov.io/gh/dataversioncontrol/dvc/branch/master/graph/badge.svg

Data 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 config AWS.StoragePath mybucket/image_cnn
$ dvc push

See more in tutorial.

Installation

Packages

Operating system dependent packages are the recommended way to install DVC. The latest version of the packages can be found at GitHub releases page: https://github.com/dataversioncontrol/dvc/releases

Python Pip

DVC could be installed via the Python Package Index (PyPI).

pip install dvc

Homebrew (Mac OS)

Formula:

brew install dataversioncontrol/homebrew-dvc/dvc

Cask:

brew cask install dataversioncontrol/homebrew-dvc/dvc

How DVC works

how_dvc_works

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

3.55.0

3.54.1

3.54.0

3.53.2

3.53.1

3.53.0

3.52.0

3.51.3

3.51.2

3.51.1

3.51.0

3.50.3

3.50.2

3.50.1

3.50.0

3.49.0

3.48.4

3.48.3

3.48.2

3.48.1

3.48.0

3.47.0

3.46.0

3.45.0

3.44.0

3.43.1

3.43.0

3.42.0

3.41.0

3.40.1

3.40.0

3.39.0

3.38.1

3.38.0

3.37.0

3.36.1

3.36.0

3.35.0

3.34.0

3.33.4

3.33.3

3.33.2

3.33.1

3.33.0

3.32.0

3.31.2

3.31.1

3.31.0

3.30.3

3.30.2

3.30.1

3.30.0

3.29.0

3.28.0

3.27.1

3.27.0

3.26.2

3.26.1

3.26.0

3.25.0

3.24.0

3.23.0

3.22.1

3.22.0

3.21.1

3.20.0

3.19.0

3.18.0

3.17.0

3.16.0

3.15.3

3.15.2

3.15.1

3.15.0

3.14.0

3.13.3

3.13.2

3.13.1

3.13.0

3.12.0

3.11.1

3.11.0

3.10.1

3.10.0

3.9.1

3.9.0

3.8.1

3.8.0

3.7.0

3.6.0

3.5.1

3.5.0

3.4.0

3.3.1

3.3.0

3.2.4

3.2.3

3.2.2

3.2.1

3.2.0

3.1.0

3.0.0

3.0.0a2 pre-release

3.0.0a1 pre-release

3.0.0a0 pre-release

2.58.2

2.58.1

2.58.0

2.57.3

2.57.2

2.57.1

2.57.0

2.56.0

2.55.0

2.54.0

2.53.0

2.52.0

2.51.0

2.50.0

2.49.0

2.48.0

2.47.2

2.47.1

2.47.0

2.46.0

2.45.1

2.45.0

2.44.0

2.43.4

2.43.3

2.43.2

2.43.1

2.43.0

2.42.0

2.41.1

2.41.0

2.40.0

2.39.0

2.38.1

2.38.0

2.37.0

2.36.0

2.35.2

2.35.1

2.35.0

2.34.3

2.34.2

2.34.1

2.34.0

2.33.2

2.33.1

2.33.0

2.32.1

2.32.0

2.31.0

2.30.1

2.30.0

2.29.0

2.28.0

2.27.2

2.27.1

2.27.0

2.26.2

2.26.1

2.26.0

2.25.0

2.24.0

2.23.0

2.22.1

2.22.0

2.21.3

2.21.2

2.21.1

2.21.0

2.20.1

2.20.0

2.19.0

2.18.1

2.18.0

2.17.0

2.16.0

2.15.0

2.14.0

2.13.0

2.12.1

2.12.0

2.11.0

2.10.2

2.10.1

2.10.0

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.8.3

2.8.2

2.8.1

2.7.4

2.7.3

2.7.2

2.7.1

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.3

2.4.2

2.4.1

2.3.0

2.2.0

2.1.0

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0a4 pre-release

2.0.0a2 pre-release

2.0.0a0 pre-release

1.11.16

1.11.15

1.11.14

1.11.13

1.11.12

1.11.11

1.11.10

1.11.9

1.11.8

1.11.7

1.11.6

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.2

1.10.1

1.10.0

1.9.1

1.9.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.9

1.7.8

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.6

1.6.4

1.6.3

1.6.1

1.6.0

1.5.1

1.5.0

1.4.0

1.3.1

1.3.0

1.2.2

1.2.1

1.2.0

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

1.0.0b6 pre-release

1.0.0b5 pre-release

1.0.0b3 pre-release

1.0.0b2 pre-release

1.0.0b1 pre-release

1.0.0b0 pre-release

1.0.0a11 pre-release

1.0.0a10 pre-release

1.0.0a9 pre-release

1.0.0a6 pre-release

1.0.0a5 pre-release

1.0.0a4 pre-release

1.0.0a3 pre-release

1.0.0a2 pre-release

1.0.0a1 pre-release

1.0.0a0 pre-release

0.94.1

0.94.0

0.93.0

0.92.1

0.92.0

0.91.4

0.91.3

0.91.2

0.91.1

0.91.0

0.90.2

0.90.1

0.90.0

0.89.0

0.88.0

0.87.0

0.86.5

0.86.4

0.86.2

0.86.0

0.85.0

0.84.0

0.83.0

0.82.10

0.82.9

0.82.8

0.82.7

0.82.6

0.82.5

0.82.4

0.82.3

0.82.2

0.82.1

0.82.0

0.81.3

0.80.0

0.78.1

0.78.0

0.77.3

0.77.2

0.77.1

0.77.0

0.76.0

0.75.1

0.75.0

0.74.0

0.73.0

0.71.0

0.70.0

0.69.0

0.68.1

0.68.0

0.67.1

0.67.0

0.66.11

0.66.10

0.66.9

0.66.8

0.66.7

0.66.6

0.66.5

0.66.4

0.66.3

0.66.2

0.66.1

0.66.0

0.65.0

0.64.1

0.64.0

0.63.4

0.63.3

0.63.2

0.63.1

0.62.1

0.62.0

0.61.2

0.61.1

0.61.0

0.60.1

0.60.0

0.59.2

0.59.0

0.58.1

0.58.0

0.57.0

0.56.0

0.55.1

0.55.0

0.54.1

0.54.0

0.53.2

0.53.1

0.52.1

0.52.0

0.51.2

0.51.1

0.51.0

0.50.1

0.50.0

0.41.3

0.41.1

0.41.0

0.40.7

0.40.6

0.40.4

0.40.3

0.40.2

0.40.1

0.40.0

0.35.7

0.35.5

0.35.3

0.34.2

0.34.1

0.34.0

0.33.1

0.32.1

0.32.0

0.31.1

0.30.1

0.30.0

0.29.0

0.28.2

0.28.1

0.28.0

0.27.1

0.27.0

0.26.1

0.26.0

0.25.4

0.25.3

0.25.0

0.24.3

0.24.2

0.24.0

0.23.2

0.23.1

0.23.0

0.22.0

0.21.3

0.21.2

0.21.1

0.21.0

0.20.8

0.20.7

0.20.6

0.20.5

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.15

0.19.14

0.19.13

0.19.12

0.19.11

0.19.10

0.19.9

0.19.8

0.19.7

0.19.6

0.19.5

0.19.3

0.19.2

0.19.1

0.19.0

0.18.15

0.18.14

0.18.13

0.18.12

0.18.11

0.18.10

0.18.9

0.18.8

0.18.7

0.18.6

0.18.5

0.18.4

0.18.3

0.18.2

0.18.1

0.18.0

0.17.1

0.17.0

0.16.6

0.16.5

0.16.3

0.16.2

0.16.1

0.16.0

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

0.13.0

0.10.2

0.10.1

0.10.0

This version

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

dvc-0.9.7-py2.py3-none-any.whl (71.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dvc-0.9.7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for dvc-0.9.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2ec19fb5e468060a07cc3eab1cd17f0c097a0349800378f3025e2ac552f414ec
MD5 29ccc1d41cc4c6119e5bd705a935517d
BLAKE2b-256 88ddf2194f01b0301f3a9f08a7273c76c4cecbfa3a77624d5a2f86fa86680f65

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page