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Top 23 jupyter-notebook Open-Source Projects
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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.
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Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
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machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
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GarminDB
Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.
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reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
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See https://github.com/jupyter/docker-stacks
Project mention: Show HN: JupySQL – a SQL client for Jupyter (ipython-SQL successor) | news.ycombinator.com | 2023-12-06- One-click sharing powered by Ploomber Cloud: https://ploomber.io
Documentation: https://jupysql.ploomber.io
Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README).
We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments!
Project mention: ipywidgets alternatives - solara and ipyvuetify | libhunt.com/r/ipywidgets | 2023-10-13
Project mention: An Analysis of How Chris Paul Has Affected His Teams (And How It May Impact the Warriors) | /r/nba | 2023-11-04Thanks to the people putting together the open source nba_api, as well as the people at Basketball Reference and the NBA stats page.
Project mention: Trying to get into machine learning and create a code that would recognise when my cat is detected on a camera, how should I approach this? | /r/learnmachinelearning | 2023-07-01Use this lesson from fast.ai, delete the code cell that downloads 'bird' and 'forest' images from a search engine, and manually upload about 100 pictures of your own cat.
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 :)
How are you syncing/storing the data?
I've been a Garmin user for nearly a decade and would really like to get the data off their platform so I can do more with it.
There are a few self-hosted options (https://github.com/tcgoetz/GarminDB seems like the best) but I keep kicking that can down the road.
To add to this, shamelessly self-promoting, Notebooker (https://github.com/man-group/notebooker) is a neat way of scheduling your Jupyter notebooks as parametrisable reports whose results are presented in a little web GUI (either as static HTML, PDF, or as reveal.js slideshow renders)
> There aren't good boundaries between Jupyter's own Python environment, and that of your notebooks— if you have a dependency which conflicts with one of Jupyter's dependencies, then good luck.
I believe that you can use https://github.com/tweag/jupyenv for this.
For working with datasets (loading and processing), I use Kotlin DataFrame. It is a library designed for working with structured in-memory data, such as tabular or JSON. It offers convenient storage, manipulation, and data analysis with a convenient, typesafe, readable API. With features for data initialization and operations like filtering, sorting, and integration, Kotlin DataFrame is a powerful tool for data analytics. I also use the Kandy - Kotlin plotting library, designed specifically for full compatibility with Kotlin DataFrame. It brings many types of plots (including statistical) with rich customization options via a powerful Kotlin DSL. The best way to run all of this is Kotlin Notebook. It works out of the box, has native rendering of Kandy plots and DataFrame tables, and has IntelliJ IDEA support. It can also be run in Jupyter notebooks with a Kotlin kernel and on Datalore.
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).
jupyter-notebooks related posts
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ipywidgets alternatives - solara and ipyvuetify
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The Jupyter+Git problem is now solved
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only seeing disk cache slider, no gpu anything?
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Trying to get into machine learning and create a code that would recognise when my cat is detected on a camera, how should I approach this?
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What is literate programming used for?
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While you wait for GitHub to finish building Jupyter Notebook reviews
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Automatic1111 is a mess right now
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A note from our sponsor - SaaSHub
www.saashub.com | 1 May 2024
Index
What are some of the best open-source jupyter-notebook projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | docker-stacks | 7,751 |
| 2 | introtodeeplearning | 6,847 |
| 3 | py | 6,627 |
| 4 | pyprobml | 6,257 |
| 5 | Financial-Models-Numerical-Methods | 5,258 |
| 6 | nbdev | 4,740 |
| 7 | ploomber | 3,374 |
| 8 | ipywidgets | 3,053 |
| 9 | nba_api | 2,249 |
| 10 | course22 | 2,136 |
| 11 | dl-colab-notebooks | 1,659 |
| 12 | machine-learning-experiments | 1,602 |
| 13 | lets-plot | 1,451 |
| 14 | Play-with-Machine-Learning-Algorithms | 1,241 |
| 15 | awesome-colab-notebooks | 1,210 |
| 16 | ipyflow | 1,073 |
| 17 | GarminDB | 929 |
| 18 | reinforcement_learning_course_materials | 900 |
| 19 | notebooker | 842 |
| 20 | jupyenv | 599 |
| 21 | ipydatagrid | 504 |
| 22 | kandy | 478 |
| 23 | lets-plot-kotlin | 408 |
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