1.marceloprates / prettymaps
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
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24 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
The interactive graphing library for Python :sparkles:
Best Practices on Recommendation Systems
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
100-Days-Of-ML-Code中文版
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Multi-user server for Jupyter notebooks
Ready-to-run Docker images containing Jupyter applications
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.
Voilà turns Jupyter notebooks into standalone web applications
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Selenium-automated Jupyter Notebook that is synchronised with Neovim in real-time.
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Jupyter magics and kernels for working with remote Spark clusters
A Cytoscape Jupyter widget
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
Modern, interactive charts for Jupyter notebooks with Apache ECharts
A system for assigning and grading notebooks
Pytest in IPython notebooks.
Deep and Machine Learning for Microscopy
Render Jupyter notebook in the terminal
The power of Chart.js with Python