JupyterLab

JupyterLab

Jupyter
+

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About

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and data science professionals

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

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

$229
Free Version
Free Trial

Pricing

No information available.
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

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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

Training

Documentation
Webinars
Live Online
In Person

Company Information

JetBrains
Founded: 2000
Czech Republic
www.jetbrains.com/dataspell/

Company Information

Jupyter
Founded: 2014
jupyter.org

Company Information

NumPy
numpy.org

Alternatives

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Alternatives

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Jupyter Notebook

Project Jupyter

Categories

Categories

Categories

Integrations

3LC
Baidu AI Cloud Machine Learning (BML)
CSS
Coiled
Continue
Firebender
Flower
Google Cloud Deep Learning VM Image
Illumina Connected Analytics
Intel Tiber AI Cloud
Java
JetBrains Gateway
Jupyter Notebook
JupyterHub
R
Scheme
Spyder
UbiOps
Zencoder
imageio

Integrations

3LC
Baidu AI Cloud Machine Learning (BML)
CSS
Coiled
Continue
Firebender
Flower
Google Cloud Deep Learning VM Image
Illumina Connected Analytics
Intel Tiber AI Cloud
Java
JetBrains Gateway
Jupyter Notebook
JupyterHub
R
Scheme
Spyder
UbiOps
Zencoder
imageio

Integrations

3LC
Baidu AI Cloud Machine Learning (BML)
CSS
Coiled
Continue
Firebender
Flower
Google Cloud Deep Learning VM Image
Illumina Connected Analytics
Intel Tiber AI Cloud
Java
JetBrains Gateway
Jupyter Notebook
JupyterHub
R
Scheme
Spyder
UbiOps
Zencoder
imageio
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