Installation on Windows
To use DVC as a Python library, you can install it
with conda or with pip.
See Running DVC on Windows for important tips to improve your experience on Windows.
Install with choco
The easiest way to install from command line for most cases is to install
Chocolatey on your machine, and use the choco
command:
$ choco install dvcInstall with conda
Requires Miniconda or Anaconda Distribution.
You can use conda from
Anaconda Prompt,
a POSIX-like command line terminal in Windows.
$ conda install -c conda-forge mamba # installs much faster than conda
$ mamba install -c conda-forge dvcDepending on the type of the remote storage you plan to use, you might need to
install optional dependencies: dvc-s3, dvc-azure, dvc-gdrive, dvc-gs,
dvc-oss, dvc-ssh.
$ conda install -c conda-forge mamba # installs much faster than conda
$ mamba install -c conda-forge dvc-s3In this case it installs the boto3 library along with DVC.
Install with pip
We strongly recommend creating a virtual environment or using pipx to encapsulate your local environment.
Note that Python 3.8+ is needed to get the latest version of DVC.
$ pip install dvcDepending on the type of the remote storage you plan to use, you might need to
install optional dependencies: [s3], [azure], [gdrive], [gs], [oss],
[ssh]. Use [all] to include them all.
$ pip install "dvc[s3]"In this case it installs the boto3 library along with DVC.
Windows installer
A quick way is to use the self-contained, executable installer (binary), which is available from the big "Download" button on the home page. You can also get it from the release page on GitHub.
You'll need to download and run the installer again each time you want to update DVC. You may use Windows Uninstaller to remove the program.
Note that this method by default enables symlink permissions for all users, so they can use them to optimize DVC operations.