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

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

Audience

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

Audience

Component Library solution for DevOps teams

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

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 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

Company Information

Jupyter
Founded: 2014
jupyter.org

Company Information

NumPy
numpy.org

Alternatives

Alternatives

h5py

h5py

HDF5
Jupyter Notebook

Jupyter Notebook

Project Jupyter

Categories

Categories

Integrations

Apache Spark
CodeSquire
Cython
Docker
Intel Open Edge Platform
Intel Tiber AI Cloud
JAX
Java
Kite
Kubernetes
NVIDIA FLARE
Scala
Spyder
Train in Data
UbiOps
Visual Studio Code
Yandex Data Proc
Zed
imageio
scikit-learn

Integrations

Apache Spark
CodeSquire
Cython
Docker
Intel Open Edge Platform
Intel Tiber AI Cloud
JAX
Java
Kite
Kubernetes
NVIDIA FLARE
Scala
Spyder
Train in Data
UbiOps
Visual Studio Code
Yandex Data Proc
Zed
imageio
scikit-learn
Claim JupyterLab and update features and information
Claim JupyterLab and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information