Dask (software)
| Dask | |
|---|---|
| Original author(s) | Matthew Rocklin |
| Developer(s) | Dask |
| Initial release | January 8, 2015 |
| Stable release | 2024.2.1
/ February 23, 2024 |
| Repository | Dask Repository |
| Written in | Python |
| Operating system | Linux, Microsoft Windows, macOS |
| Available in | Python |
| Type | Data analytics |
| License | New BSD |
| Website | dask |
Dask is an open-source Python library for parallel computing. Dask scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy. It also exposes low-level APIs that help programmers run custom algorithms in parallel.
Dask was created by Matthew Rocklin in December 2014 and has over 9.8k stars and 500 contributors on GitHub.
Dask is used by retail, financial, governmental organizations, as well as life science and geophysical institutes. Walmart, Wayfair, JDA, GrubHub, General Motors, Nvidia, Harvard Medical School, Capital One and NASA are among the organizations that use Dask.