Audience
Enterprises requiring a solution that provides advanced parallelism for analytics, enabling performance at scale
About Dask
Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.
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Company Information
Dask
Founded: 2019
dask.org
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Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
Dask Frequently Asked Questions
Q: What kinds of users and organization types does Dask work with?
Dask works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Dask support in their product?
Dask supports these languages: English.
Q: What kind of support options does Dask offer?
Dask offers support via online.
Q: What other applications or services does Dask integrate with?
Dask integrates with: Anaconda, Coiled, Dagster, Domino Enterprise AI Platform, Flyte, Google Cloud Platform, Kedro, NVIDIA DIGITS, Prefect, Ray, Saturn Cloud, Snorkel AI, Spell, Union Cloud, and Union Pandera.
Q: Does Dask have an API?
Yes, Dask has an API.
Q: What type of training does Dask provide?
Dask provides training in the form of documentation and videos.
