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About

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs

Audience

Developers interested in a beautiful but advanced programming language

Audience

Component Library solution for developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
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

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

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids

Company Information

Python
Founded: 1991
www.python.org

Company Information

imageio
imageio.readthedocs.io/en/stable/

Alternatives

Alternatives

Alternatives

JDeli

JDeli

IDR Solutions
yarl

yarl

Python Software Foundation
NVIDIA Brev

NVIDIA Brev

NVIDIA

Categories

Categories

Categories

Integrations

Athina AI
Avanzai
Bayesforge
CodeCollab
Cosine Genie
CrowdRender
Hunch
Hyperbrowser
JupyterLab
Klocwork
LeaderGPU
MatchKraft
RadSystems
RankLLM
Red Hat OpenShift Dev Spaces
Scottie
Seaborn
Traceloop
Unlimit
python-docx

Integrations

Athina AI
Avanzai
Bayesforge
CodeCollab
Cosine Genie
CrowdRender
Hunch
Hyperbrowser
JupyterLab
Klocwork
LeaderGPU
MatchKraft
RadSystems
RankLLM
Red Hat OpenShift Dev Spaces
Scottie
Seaborn
Traceloop
Unlimit
python-docx

Integrations

Athina AI
Avanzai
Bayesforge
CodeCollab
Cosine Genie
CrowdRender
Hunch
Hyperbrowser
JupyterLab
Klocwork
LeaderGPU
MatchKraft
RadSystems
RankLLM
Red Hat OpenShift Dev Spaces
Scottie
Seaborn
Traceloop
Unlimit
python-docx
Claim NVIDIA RAPIDS and update features and information
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