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About

It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.

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.

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

Data Scientists wanting a desktop app to create Python notebooks

Audience

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

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

$20 per month
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

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

Review this Software

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

MLJAR
Founded: 2016
Poland
mljar.com

Company Information

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

Alternatives

Positron

Positron

Posit PBC

Alternatives

Categories

Categories

Integrations

Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
GitHub
Gradient
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
Kinetica
Markdown
NVIDIA FLARE
OpenAI
Paddle
Plotly Dash
PostgreSQL
XML
pandas

Integrations

Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
GitHub
Gradient
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
Kinetica
Markdown
NVIDIA FLARE
OpenAI
Paddle
Plotly Dash
PostgreSQL
XML
pandas
Claim MLJAR Studio and update features and information
Claim MLJAR Studio and update features and information
Claim NVIDIA RAPIDS and update features and information
Claim NVIDIA RAPIDS and update features and information