Audience
Developers searching for a solution to develop open-source software, open-standards, and services for interactive computing
About JupyterLab
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.
Other Popular Alternatives & Related Software
QuantRocket
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JupyterHub
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.
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JetBrains DataSpell
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.
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Apache Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. IPython interpreter provides comparable user experience like Jupyter Notebook. This release includes Note level dynamic form, note revision comparator and ability to run paragraph sequentially, instead of simultaneous paragraph execution in previous releases. Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use.
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Pricing
Free Trial:
Free Trial available.
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Company Information
Jupyter
Founded: 2014
jupyter.org
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
JupyterLab Frequently Asked Questions
Q: What kinds of users and organization types does JupyterLab work with?
JupyterLab works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does JupyterLab support in their product?
JupyterLab supports these languages: English.
Q: What kind of support options does JupyterLab offer?
JupyterLab offers support via online.
Q: What other applications or services does JupyterLab integrate with?
JupyterLab integrates with: Apache Spark, C++, CodeSquire, CSS, Docker, Domino Enterprise AI Platform, Fosfor Decision Cloud, Google Cloud Deep Learning VM Image, HTML, Intel Tiber AI Cloud, Java, JetBrains DataSpell, JSON, Julia, Jupyter Notebook, JupyterHub, Kubernetes, neptune.ai, OAuth, Octave, Python, R, Scala, and Scheme and more.
Q: What type of training does JupyterLab provide?
JupyterLab provides training in the form of documentation.
Q: Does JupyterLab offer a free trial?
Yes, JupyterLab offers a free trial.
