1.plotly / plotly.py
The interactive graphing library for Python :sparkles:
+15 stars
from 18,853 · score 2.77
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2.recommenders-team / recommenders
Best Practices on Recommendation Systems
+8 stars
from 21,965 · score 2.20
3.gee-community / geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
+7 stars
from 4,050 · score 2.08
4.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+5 stars
from 13,740 · score 1.79
5.opengeos / leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
+5 stars
from 3,789 · score 1.79
6.marceloprates / prettymaps
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
+2 stars
from 14,318 · score 1.10
7.jupytext / jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
+2 stars
from 7,276 · score 1.10
8.deepchecks / 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.
+2 stars
from 4,067 · score 1.10
9.nbQA-dev / nbQA
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
+2 stars
from 1,206 · score 1.10
10.jupyter / docker-stacks
Ready-to-run Docker images containing Jupyter applications
+1 stars
from 8,472 · score 0.69
11.jupyter-incubator / sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
+1 stars
from 1,368 · score 0.69
12.dmunish / notecharts
Modern, interactive charts for Jupyter notebooks with Apache ECharts
+1 stars
from 6 · score 0.69