JupyterLab

JupyterLab

Jupyter
+

Related Products

  • Windsurf Editor
    148 Ratings
    Visit Website
  • JetBrains Junie
    2 Ratings
    Visit Website
  • Google AI Studio
    10 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • DbVisualizer
    523 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,867 Ratings
    Visit Website
  • imgproxy
    15 Ratings
    Visit Website
  • SciSure
    294 Ratings
    Visit Website
  • Source Defense
    7 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website

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

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

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

Component Library solution for DevOps teams

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

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.0 / 5
support 4.0 / 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

Reviews/Ratings

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

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

NumPy
numpy.org

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Jupyter Notebook

Jupyter Notebook

Project Jupyter

Categories

Categories

Categories

Integrations

Apache Spark
CSS
Cython
Flower
Fosfor Decision Cloud
Illumina Connected Analytics
JarvisLabs.ai
JetBrains DataSpell
Julia
Jupyter Notebook
JupyterHub
MPI for Python (mpi4py)
Pieces
Python
Scheme
Spyder
Unify AI
Yamak.ai
neptune.ai
scikit-learn

Integrations

Apache Spark
CSS
Cython
Flower
Fosfor Decision Cloud
Illumina Connected Analytics
JarvisLabs.ai
JetBrains DataSpell
Julia
Jupyter Notebook
JupyterHub
MPI for Python (mpi4py)
Pieces
Python
Scheme
Spyder
Unify AI
Yamak.ai
neptune.ai
scikit-learn

Integrations

Apache Spark
CSS
Cython
Flower
Fosfor Decision Cloud
Illumina Connected Analytics
JarvisLabs.ai
JetBrains DataSpell
Julia
Jupyter Notebook
JupyterHub
MPI for Python (mpi4py)
Pieces
Python
Scheme
Spyder
Unify AI
Yamak.ai
neptune.ai
scikit-learn
Claim JupyterLab and update features and information
Claim JupyterLab and update features and information
Claim MicroPython and update features and information
Claim MicroPython and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information