JupyterLab

JupyterLab

Jupyter
+

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About

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

About

The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.

About

Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.

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

Developers searching for a solution to develop open-source software, open-standards, and services for interactive computing

Audience

IoT Operating System for developers wanting to run microcontrollers

Audience

Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models

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

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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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

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

Jupyter
Founded: 2014
jupyter.org

Company Information

MicroPython
United Kingdom
micropython.org

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/

Alternatives

Alternatives

Alternatives

Jupyter Notebook

Jupyter Notebook

Project Jupyter
Kraken

Kraken

Big Squid

Categories

Categories

Categories

Integrations

Arize Phoenix
CSS
CodeSquire
Domino Enterprise MLOps Platform
Fosfor Decision Cloud
HTML
Intel Tiber AI Cloud
JSON
Jupyter Notebook
Kite
LVGL
Oracle Cloud Infrastructure
Oracle Database
Pieces
Python
Scheme
UbiOps
Zed
neptune.ai

Integrations

Arize Phoenix
CSS
CodeSquire
Domino Enterprise MLOps Platform
Fosfor Decision Cloud
HTML
Intel Tiber AI Cloud
JSON
Jupyter Notebook
Kite
LVGL
Oracle Cloud Infrastructure
Oracle Database
Pieces
Python
Scheme
UbiOps
Zed
neptune.ai

Integrations

Arize Phoenix
CSS
CodeSquire
Domino Enterprise MLOps Platform
Fosfor Decision Cloud
HTML
Intel Tiber AI Cloud
JSON
Jupyter Notebook
Kite
LVGL
Oracle Cloud Infrastructure
Oracle Database
Pieces
Python
Scheme
UbiOps
Zed
neptune.ai
Claim JupyterLab and update features and information
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