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About

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.

About

​JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. ​

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises requiring a solution that provides advanced parallelism for analytics, enabling performance at scale

Audience

Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Dask
Founded: 2019
dask.org

Company Information

JAX
United States
docs.jax.dev/en/latest/

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Gensim

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Categories

Categories

Integrations

AWS EC2 Trn3 Instances
Anaconda
Dagster
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Flower
Gemma 3n
Google Cloud Platform
Hugging Face
IREN Cloud
Kedro
Keras
NumPy
Prefect
Python
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TensorFlow
Union Pandera

Integrations

AWS EC2 Trn3 Instances
Anaconda
Dagster
Domino Enterprise MLOps Platform
Flower
Gemma 3n
Google Cloud Platform
Hugging Face
IREN Cloud
Kedro
Keras
NumPy
Prefect
Python
Ray
Saturn Cloud
Snorkel AI
Spell
TensorFlow
Union Pandera
Claim Dask and update features and information
Claim Dask and update features and information
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Claim JAX and update features and information