Jupyterlab Alternatives

    Jupyterlab is described as 'An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users' and is an app in the Development category. There are eight alternatives to Jupyterlab for a variety of platforms, including Online / Web-based, Mac, Windows, Linux and Android. The best alternative is Org mode, which is both free and Open Source. Other great apps like Jupyterlab are Jupyter (Free, Open Source), CoCalc (Free, Open Source), Colaboratory (Free) and Databricks (Paid).

    This page was last updated Aug 9, 2021

    1. Org-mode is for keeping notes, maintaining ToDo lists, doing project planning, and authoring with a fast and effective plain-text system.
      Org mode vs Jupyterlab opinions
      pros, cons and recent comments
      Lunatica Able to do literate programming with a lot of programming/markup languages, plus note-taking and task management.
      Positive comment about 1 year ago

    2. The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

    3. Web-based cloud computing (SaaS) and course management platform for computational mathematics.
      No screenshots yet
      • FreeProprietary
      • Online
      Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud. With Colaboratory you can write and execute code, save and share your analyses, and access powerful computing resources, all for free from your browser.
    4. Simplify big data and AI with a platform from the team that started Apache Spark™.
      No screenshots yet

      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      • Java
      A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
    5. Features ======= Compute - List of clusters - Quick overview of cluster cores, memory, nodes etc. - Cluster details in-depth. - Start/Stop a cluster. - View cluster events. Job Tracking - List of jobs. - Job run status. - Start/Stop a job.
    6. Integrated Development Environment for machine learning. Developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface.
    Showing 8 of 8 alternatives