Top 23 Python jupyter-notebook Projects
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Project mention: Opinion on choice of model - Recommender System | reddit.com/r/datascience | 2021-04-10
Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.
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Project mention: 12 ways to get more GitHub stars for your open-source project | dev.to | 2022-01-16
Here are some projects with great documentation: a) https://docs.nestjs.com/ b) https://docs.n8n.io/ c) https://guides.rubyonrails.org/ d) https://plotly.com/python/ e) https://docs.mapbox.com/
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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Project mention: basic question: normally i run apache or rabbitmq as user apache or user rabbitmq. should i run jupyterhub as root, yes or no? | reddit.com/r/Jupyter | 2021-01-25
this is just a summary of the jupyterhub docs: https://github.com/jupyterhub/jupyterhub/wiki/Using-sudo-to-run-JupyterHub-without-root-privileges
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> Are there any guides on best practices for bridging from notebooks to applications?
The main point of friction is that the "default" format for storing notebooks is not valid, human readable python code, but an unreadable json mess. The situation would be much better if a notebook was stored as a python file, with code cells verbatin, and markdown cells inside python comments with appropriate line breaking. That way, you could run and edit notebooks from outside the browser, and let git track them easily. Ah, what a nice world would that be.
But this is exactly the world we already live in, thanks to jupytext!
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Project mention: Show HN: Mercury – Publish Jupyter Notebook as web app by adding YAML header | news.ycombinator.com | 2022-01-20
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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Interesting they mentioned Jupyter Notebooks but not NBDime https://github.com/jupyter/nbdime which is a Jupyter plugin specifically to address this problem. Without it, diffing notebooks is not feasible.
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evidently
Interactive reports to analyze machine learning models during validation or production monitoring.
Project mention: The hand-picked selection of the best Python libraries released in 2021 | reddit.com/r/Python | 2021-12-21Evidently.
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pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
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geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Good place to start is: https://geemap.org/
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Project mention: Show HN: Livelossplot – Live deep learning training plots in Jupyter Notebook | news.ycombinator.com | 2021-02-14
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Things get a bit more complicated on interactive sessions. We've created Sparkmagic compatible REST API so that Sparkmagic kernel could communicate with Lighter the same way as it does with Apache Livy. When a user creates an interactive session Lighter server submits a custom PySpark application which contains an infinite loop which constantly checks for new commands to be executed. Each Sparkmagic command is saved on Java collection, retrieved by the PySpark application through Py4J Gateway and executed.
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We are using nbgrader[0] to handle the labs of our students, while we are happy with nbgrader, from the videos, Teams for Education look so much nicer to use.
I also agree that using tools centered on coding offer a really nice experience for both students and teachers.
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You can use it with source control, I do it for about 18 notebooks I use on a daily basis:
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Project mention: Jupyter notebooks for dashboarding? | reddit.com/r/BusinessIntelligence | 2021-06-13
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i mean the docker deployment for a single user is quite ez. For multi user i guess you have to check this https://github.com/jupyterhub/jupyterhub-deploy-docker
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The testbook project is a different take on notebook unit testing. It allows you to refer to your notebooks in pure Python code from outside a notebook. This allows you to use any testing framework you like (for example, pytest, or unittest) in separate Python modules. You may have a situation where allowing users to modify and update notebook code is the best way to keep code updated and to allow for flexibility for end users. But you may prefer that the code still be tested and verified separately. Testbook makes this an option.
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Project mention: ArcGIS Toolbox for WhiteboxTools v1.5.0 released w/ 468 tools for geospatial analysis | reddit.com/r/gis | 2021-06-09
Jupyter: https://github.com/giswqs/whiteboxgui
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Project mention: Jupytab - Connect Tableau directly to python Jupyter notebook for extract and realtime analytics | reddit.com/r/tableau | 2021-04-30
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This tutorial describes how you can use the pytest plugin nbmake to automate end-to-end testing of notebooks.
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cuttle-cli
Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script)
Project mention: Magically generate an API project from your Python notebook without writing extra code | reddit.com/r/learnmachinelearning | 2021-07-03
Python jupyter-notebook related posts
- Show HN: Mercury – Publish Jupyter Notebook as web app by adding YAML header
- [D] 5 considerations for Deploying Machine Learning Models in Production – what did I miss?
- What features an ideal IDE for Python notebooks should have?
- Using Neovim in place of Jupyter notebooks
- Notebook to Production [D]
- Magically generate an API project from your Python notebook without writing extra code
- Magically generate an API project from your Python notebook without writing extra code
Index
What are some of the best open-source jupyter-notebook projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | recommenders | 12,078 |
| 2 | plotly | 10,828 |
| 3 | Jupyter Notebook (IPython) | 6,543 |
| 4 | jupytext | 5,143 |
| 5 | learn-python3 | 4,491 |
| 6 | voila | 3,842 |
| 7 | dtale | 2,936 |
| 8 | nbdime | 2,152 |
| 9 | evidently | 2,072 |
| 10 | pandas-ta | 2,059 |
| 11 | geemap | 1,621 |
| 12 | livelossplot | 1,152 |
| 13 | sparkmagic | 1,078 |
| 14 | nbgrader | 1,057 |
| 15 | nbstripout | 847 |
| 16 | jupyter-dash | 655 |
| 17 | jupyterhub-deploy-docker | 528 |
| 18 | testbook | 273 |
| 19 | choochoo | 201 |
| 20 | whiteboxgui | 85 |
| 21 | Jupytab | 76 |
| 22 | nbmake | 44 |
| 23 | cuttle-cli | 42 |
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