JupyterLab

JupyterLab

Jupyter
+

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About

With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.

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

Companies, classrooms and research labs looking for a multi-user Hub solution

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

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 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

JupyterHub
Founded: 2014
github.com/jupyterhub/jupyterhub

Company Information

Jupyter
Founded: 2014
jupyter.org

Company Information

NumPy
numpy.org

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Jupyter Notebook

Jupyter Notebook

Project Jupyter
Quantinuum Nexus

Quantinuum Nexus

Quantinuum
JupyterLab

JupyterLab

Jupyter

Categories

Categories

Categories

Integrations

AWS Marketplace
Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
Fosfor Decision Cloud
Gensim
Intel Tiber AI Cloud
JAX
JarvisLabs.ai
Java
Julia
Octave
OpenHexa
PaizaCloud
Scala
Zed
esDynamic
neptune.ai

Integrations

AWS Marketplace
Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
Fosfor Decision Cloud
Gensim
Intel Tiber AI Cloud
JAX
JarvisLabs.ai
Java
Julia
Octave
OpenHexa
PaizaCloud
Scala
Zed
esDynamic
neptune.ai

Integrations

AWS Marketplace
Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
Fosfor Decision Cloud
Gensim
Intel Tiber AI Cloud
JAX
JarvisLabs.ai
Java
Julia
Octave
OpenHexa
PaizaCloud
Scala
Zed
esDynamic
neptune.ai
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