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Top 23 Python jupyter-notebook Projects
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plotly
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
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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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ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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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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pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
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deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
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geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: My kernel dies when I fit my LightFm model from Microsoft Recommenders | /r/Jupyter | 2023-06-16
Project mention: Yes, Python and Matplotlib can make pretty charts | news.ycombinator.com | 2024-04-16
See https://github.com/jupyter/docker-stacks
I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.
Project mention: mercury VS solara - a user suggested alternative | libhunt.com/r/mercury | 2023-10-13
Project mention: Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks | dev.to | 2024-01-13Also if you have any confusion related to it. You can directly go to their discussion section in github :
Project mention: I'm a senior in my CS major and it's incredible I didn't hear about GIS projects until now. Glad to be here. | /r/gis | 2023-05-22Try out Google Earth Engine and browse through it's catalogue to get a feel for what's available. GEE allows you to work with global datasets and immediately see a preview of the results (there's also geemap if you prefer doing this from a Python notebook instead of the online JS editor)
In order to try to solve this issue, NannyML was created. NannyML is an open-source Python library designed in order to make it easy to monitor drift in the distributions of our model input variables and estimate our model performance (even without labels!) thanks to the Confidence-Based Performance Estimation algorithm they developed. But first of all, why do models need to be monitored and why their performance might vary over time?
Currently it's part of euporie-notebook, but I'm planning on splitting it out and publishing the web-browser as an independent project.
Please file an issue at https://github.com/jupyter-incubator/sparkmagic
Python jupyter-notebook related posts
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
- The Jupyter+Git problem is now solved
- Data exploration is not dead
- Explore your data in a single line of code
- Which preprocessing steps to improve the performance of a naive bayes classifier
- Do you git commit jupyter notebooks?
- Show HN: Arguably – The best Python CLI library, arguably
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source jupyter-notebook projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | recommenders | 17,942 |
2 | plotly | 15,247 |
3 | ydata-profiling | 12,022 |
4 | docker-stacks | 7,738 |
5 | Jupyter Notebook (IPython) | 7,573 |
6 | jupytext | 6,410 |
7 | voila | 5,210 |
8 | pandas-ta | 4,732 |
9 | mercury | 3,761 |
10 | deepchecks | 3,338 |
11 | geemap | 3,196 |
12 | leafmap | 2,896 |
13 | nbviewer | 2,163 |
14 | nannyml | 1,754 |
15 | sms-tools | 1,584 |
16 | machine_learning_refined | 1,584 |
17 | zero-to-jupyterhub-k8s | 1,467 |
18 | euporie | 1,449 |
19 | livelossplot | 1,282 |
20 | sparkmagic | 1,282 |
21 | nbgrader | 1,255 |
22 | nbstripout | 1,138 |
23 | Coloring-greyscale-images | 1,011 |
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