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Top 23 jupyterlab-extension Open-Source Projects
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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jupyterlab-lsp
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
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best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Spreadsheet errors can have disastrous consequences – yet we keep making them | news.ycombinator.com | 2024-01-25What are some Software Development methods for reducing errors:
1. AUTOMATED TESTS; test assertions
To write spreadsheet tests:
A. Write your own test assertion library for their macro language; write assertEqual() in VBscript and Apps Script.
B. Use another language with a test library and a test runner; e.g. Python and the `assert` keyword, unittest.TestCase().assertEqual() or pytest.
C. Test the spreadsheet GUI with something like AutoHotKey.
From https://news.ycombinator.com/item?id=35896192 :
> The Scientific Method is testing, so testing (tests, assertions, fixtures) should be core to any scientific workflow system.
> awesome-jupyter#testing: https://github.com/markusschanta/awesome-jupyter#testing
> ml-tooling/best-of-jupyter lists papermill/papermill under "Interactive Widgets/Visualization" https://github.com/ml-tooling/best-of-jupyter#interactive-wi...
The JupyterLite Python-compiled-to-WASM build has NumPy, SciPy, matplotlib, and SymPy installed; so you can do computer algebra with SymPy in a browser tab.
https://github.com/jupyterlite/jupyterlite/tree/main/py/jupy... :
> Initial support for interactive visualization libraries such as: altair, bqplot, ipywidgets, matplotlib, and plotly
Project mention: ipywidgets alternatives - solara and ipyvuetify | libhunt.com/r/ipywidgets | 2023-10-13
This notebook is dedicated to a (not so) short jupyterlab/jupyter-ai unboxing so anyone can enjoy this kind of magic (and much much more):
I remember hearing about nbdime and thinking it sounded useful, but I've never really needed it since I rarely use Jupyter in the first place. But then I made some changes to my Hanukkah of Data 2023 notebook to work with the follow-up "speed run" challenge (a new dataset and slightly tweaked clues), and the native Git diff was too noisy to be useful. nbdime came to the rescue! Here are the changes I had to make for days 2 and 3 during the speed run:
- GitHub PR code reviews with ReviewNB[4]
Alternatively, if you don't care about cell outputs then Jupytext[5]
Disclaimer: I built ReviewNB. It's a completely bootstrapped business, 5 years in the making and now used by leading DS teams at Meta, AWS, NASA JPL, AirBnB, Lyft, Affirm, AMD, Microsoft & more (https://www.reviewnb.com/#customers)
Project mention: Spreadsheet errors can have disastrous consequences – yet we keep making them | news.ycombinator.com | 2024-01-25What are some Software Development methods for reducing errors:
1. AUTOMATED TESTS; test assertions
To write spreadsheet tests:
A. Write your own test assertion library for their macro language; write assertEqual() in VBscript and Apps Script.
B. Use another language with a test library and a test runner; e.g. Python and the `assert` keyword, unittest.TestCase().assertEqual() or pytest.
C. Test the spreadsheet GUI with something like AutoHotKey.
From https://news.ycombinator.com/item?id=35896192 :
> The Scientific Method is testing, so testing (tests, assertions, fixtures) should be core to any scientific workflow system.
> awesome-jupyter#testing: https://github.com/markusschanta/awesome-jupyter#testing
> ml-tooling/best-of-jupyter lists papermill/papermill under "Interactive Widgets/Visualization" https://github.com/ml-tooling/best-of-jupyter#interactive-wi...
Project mention: Show HN: Marimo – an open-source reactive notebook for Python | news.ycombinator.com | 2024-01-12You're probably referring to nbgather (https://github.com/microsoft/gather), which shipped with VSCode for a while.
nbgather used static slicing to get all the code necessary to reconstruct some cell. I actually worked with Andrew Head (original nbgather author) and Shreya Shankar to implement something similar in ipyflow (but with dynamic slicing and a not-as-nice interface): https://github.com/ipyflow/ipyflow?tab=readme-ov-file#state-...
I have no doubt something like this will make its way into marimo's roadmap at some point :)
If you use conda there are extensions that can help with this by automatically registering any available conda environments that include ipykernel in your Jupyter Lab environment.
nb_conda_kernels is pretty reliable but not actively maintained. Gator from the mamba folks is new and still a bit rough around the edges but looks like it will be pretty slick eventually.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-02-28.
jupyterlab-extension related posts
- 🪄 Put magic in your Notebook w/ Jupyter-AI
- Stuff I Learned during Hanukkah of Data 2023
- Best open-source & local alternatives to GitHub Copilot for data science notebooks
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ipywidgets alternatives - solara and ipyvuetify
3 projects | 13 Oct 2023
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
- A generative AI extension for JupyterLab
- The Jupyter+Git problem is now solved
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A note from our sponsor - SurveyJS
surveyjs.io | 19 Apr 2024
Index
What are some of the best open-source jupyterlab-extension projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | jupytext | 6,410 |
| 2 | voila | 5,196 |
| 3 | awesome-jupyter | 3,753 |
| 4 | jupyterlite | 3,644 |
| 5 | ipywidgets | 3,042 |
| 6 | jupyter-ai | 2,828 |
| 7 | nbdime | 2,593 |
| 8 | elyra | 1,770 |
| 9 | jupyterlab-lsp | 1,726 |
| 10 | ipympl | 1,525 |
| 11 | ipyleaflet | 1,450 |
| 12 | jupyterlab-git | 1,387 |
| 13 | jupyterlab-vim | 964 |
| 14 | best-of-jupyter | 827 |
| 15 | jupyterlab_code_formatter | 793 |
| 16 | jupyterlab-drawio | 592 |
| 17 | gather | 524 |
| 18 | stickyland | 499 |
| 19 | ipydatagrid | 497 |
| 20 | jupyter-renderers | 485 |
| 21 | genv | 392 |
| 22 | jupyterlab_templates | 371 |
| 23 | gator | 255 |
Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com