Git for data scientists - manage your code and data together
Project description
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
Contributing
Contributions are welcome! Please see our Contributing Guide for more details.
Copyright
This project is distributed under the Apache license version 2.0 (see the LICENSE file in the project root).
By submitting a pull request for this project, you agree to license your contribution under the Apache license version 2.0 to this project.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file dvc-0.15.2-py2.py3-none-any.whl
.
File metadata
- Download URL: dvc-0.15.2-py2.py3-none-any.whl
- Upload date:
- Size: 67.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.5.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b444ecc8ca0597692065b4eb1610fecb20f8382d6a3a6987d02b29051d62232c |
|
MD5 | 2bf555fffa632e82823b9a13a793abe1 |
|
BLAKE2b-256 | d22d117b6e99f4e7f0760d99944919d9dcaaeabfb6c6182a9c890b7260eec697 |