JupyterLab Alternatives

Similar projects and alternatives to JupyterLab

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better JupyterLab alternative or higher similarity.

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JupyterLab reviews and mentions

Posts with mentions or reviews of JupyterLab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-09.
  • JupyterHub server vs remote kernel: handle VPN drops for long-running notebooks
    1 project | reddit.com/r/JupyterNotebooks | 6 May 2022
  • Why can't I open jupyter lab? Please help
    1 project | reddit.com/r/dataengineering | 13 Feb 2022
    After a quick look I found the same issue here.
  • Replit.com raises $80m in Series B
    6 projects | news.ycombinator.com | 9 Dec 2021
    Yes, Jupyter notebook has used CodeMirror for nearly a decade. The official Jupyter notebook has never used Monaco, but the Google version (colab) uses Monaco in order to very nicely leverage LSP support (similar to VS Code). There is preliminary work under way right now to switch from CodeMirror 5 to CodeMirror 6 in the official Jupyter project, but that's going to be significant work (see https://github.com/jupyterlab/jupyterlab/pull/11638).

    It doesn't seem like there is much overlap between Replit and Jupyter notebooks right now, as far as I can tell...

  • Putting Out the Fire: Where Do We Start With Accessibility in JupyterLab?
    1 project | dev.to | 27 May 2021
    With the support of a team member with prior experience auditing for accessibility, we pinpointed specific ways in which JupyterLab lacked support for accessibility broken up by WCAG 2.1 standards.
  • JupyterLab LaTeX – live-editing of LaTeX documents in JupyterLab
    4 projects | news.ycombinator.com | 17 May 2021
    Coming soon - they just closed their concurrent editing ticket! :-). https://github.com/jupyterlab/jupyterlab/issues/5382#event-4...
  • Yjs-backed CRDT collaborative Jupyter notebooks merged
    1 project | news.ycombinator.com | 12 May 2021
  • Jupyter shows equations as raw text
    1 project | reddit.com/r/IPython | 7 Apr 2021
    From the screenshot it looks like JupyterLab but I may be wrong. If this is correct, try to install an alternative renderer for latex, e.g. katex or mathjax3, see: https://github.com/jupyterlab/jupyterlab/issues/9757#issuecomment-775494789
  • What's another option for running Jupyter Notebooks besides Virtual Studio?
    1 project | reddit.com/r/Python | 23 Mar 2021
    I have a very frustrating issue that I cannot figure out regarding Jupyter Notebooks: https://github.com/jupyterlab/jupyterlab/issues/9995
  • How to open Notebook in new tab from a Launcher Terminal
    2 projects | reddit.com/r/IPython | 8 Mar 2021
    This pull request is still highly experimental, but you may want to play with it and provide feedback. It's a first cut at implementing this kind of workflow in a generic manner.
  • Recommendations for co-working on Jupyter Notebooks
    2 projects | reddit.com/r/datascience | 15 Feb 2021
    JupyterLab is getting collaborative editing (hopefully soon): https://github.com/jupyterlab/jupyterlab/pull/9785
  • JupyterHub in Kubernetes
    1 project | news.ycombinator.com | 28 Jan 2021
    We were in almost exactly the same situation. Workstations at the office. GCP account. We started pushing for more remote work about two years ago, and we built our internal machine learning platform around our workflow solving one bit after the other, precisely because we didn't want to be tied to one library/framework, and without having to pollute our notebooks.

    Here's what we're doing:

    - No-setup, fresh, notebook environments with the most popular libraries pre-installed: this saves a lot of time, avoids having environments that break, etc. We start afresh with large Docker images, and then people can install libraries.

    - Real-time collaboration on notebooks: so we can troubleshoot and pair-program on the same notebook at the same time, we can see cursors, selections, changes, etc. We also use that for our weekly calls where we have the agenda, code snippets, etc. all in the same place. We can talk through agenda items, edit in real-time, add snippets of code, and brainstorm.

    - Multiple versions of your notebooks: there's a regression in JupyterLab that we fixed. We're working to make it available in upstream JupyterLab[0].

    - Long-running notebook scheduling with output that survives closed tabs and network disruptions: we select the Docker image and the output file. This solves the common problem of launching a long-running notebook, and having to keep the browser tab open and pray the network connection doesn't break. Some people circumvent that porblem by scheduling the notebook and saving the artifacts right from the notebook, but we wanted to be able to have the output streamed whether the tab was closed or not. Bonus: we can watch the same notebook running on multiple laptops.

    - Automatic experiment tracking: automatically detects your models, parameters, and metrics and saves them without you remembering to do so or polluting your notebook with tracking code.

    - Easily deploy your model and get a "REST endpoint" so data scientists don't tap on anyone's shoulder to deploy their model, and developers don't need to worry about ML dependencies to use the models, and be dragged into the "ML realm". The models also have a page where you can invoke the model by entering JSON and get predictions, or uploading a CSV file and get predictions.

    - Build Docker images for your model and push it to a registry to user it wherever you want: currently we push to DockerHub and GitLab

    - Monitor your models' performance on a live dashboard: requests, latency, performance, etc.

    - Publish notebooks as AppBooks: automatically parametrize a notebook to enable clients to interact with it without exporting PDFs or having to build an application or mutate the notebook. This is very useful when you want to expose some parameters that are very domain specific to a domain expert. For example, some features in a nuclear engineering problem are very domain specific, and a nuclear engineer can bring in a lot of value tweaking the parameters themselves. It also spares our people from spinning up yet another VM on GCP, loading the model, creating a Flask application, setting authentication, etc.

    Much more on our roadmap. We're only focusing on actual problems we have faced serving our clients, and problems we are facing now.

    The notebook servers are run on an arbitrary cluster that happens to be ours for now, but we're pretty much approaching it with the following mindset: we are a company that uses this platform, and the platform just happens to be ours.

    - [0]: https://github.com/jupyterlab/jupyterlab/issues/5923


Basic JupyterLab repo stats
3 days ago

jupyterlab/jupyterlab is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

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