Skip to main content

Python package wrapping C++ code for computing Wasserstein distances

Project description


build-wheels Binder

PyPI version python versions

Python/C++ library for computing Wasserstein distances efficiently. See the documentation.

Copyright (C) 2019-2021 Patrick T. Komiske III

Project details

Download files

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

Source Distribution

Wasserstein-1.1.0.tar.gz (397.4 kB view hashes)

Uploaded source

Built Distributions

Wasserstein-1.1.0-cp311-cp311-win32.whl (242.6 kB view hashes)

Uploaded cp311

Wasserstein-1.1.0-cp310-cp310-win_amd64.whl (265.3 kB view hashes)

Uploaded cp310

Wasserstein-1.1.0-cp310-cp310-win32.whl (242.5 kB view hashes)

Uploaded cp310

Wasserstein-1.1.0-cp39-cp39-win_amd64.whl (265.1 kB view hashes)

Uploaded cp39

Wasserstein-1.1.0-cp39-cp39-win32.whl (241.9 kB view hashes)

Uploaded cp39

Wasserstein-1.1.0-cp38-cp38-win_amd64.whl (265.7 kB view hashes)

Uploaded cp38

Wasserstein-1.1.0-cp38-cp38-win32.whl (242.1 kB view hashes)

Uploaded cp38

Wasserstein-1.1.0-cp37-cp37m-win_amd64.whl (265.7 kB view hashes)

Uploaded cp37

Wasserstein-1.1.0-cp37-cp37m-win32.whl (242.4 kB view hashes)

Uploaded cp37

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page