This series uncovers the most valuable insights from groundbreaking books in AI, Machine Learning, and Data Science, helping you accelerate your learning journey. Each episode transforms complex theories into practical knowledge, making advanced topics more accessible and actionable.
GitHub repository with 220 stars and 96 forks.
Topics: data-science, deep-learning, machine-learning, data-structures, data-visualization, generative-ai
2026-06-09: 220 stars and 96 forks.
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens.
GitHub repository with 711 stars and 94 forks.
Trending score: 3.32; stars gained: +60; forks gained: +5.
Language: TypeScript
Topics: data-science, duckdb, geospatial, maplibre, maplibre-gl-js, tauri-app
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
GitHub repository with 42,908 stars and 3,485 forks.
Trending score: 2.87; stars gained: +30; forks gained: -2.
Language: Python
Topics: machine-learning, models, ui, ui-components, interface, python
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,956 stars and 4,278 forks.
Trending score: 2.75; stars gained: +35; forks gained: +4.
Language: Python
Topics: python, machine-learning, data-science, deep-learning, data-visualization, streamlit
Apache Superset is a Data Visualization and Data Exploration Platform
GitHub repository with 73,266 stars and 17,600 forks.
Trending score: 2.74; stars gained: +28; forks gained: +19.
Language: TypeScript
Topics: superset, apache, apache-superset, data-visualization, data-viz, analytics
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
GitHub repository with 45,795 stars and 17,231 forks.
Trending score: 2.61; stars gained: +22; forks gained: +11.
Language: Python
Topics: airflow, apache, apache-airflow, automation, dag, data-engineering
:memo: An awesome Data Science repository to learn and apply for real world problems.
GitHub repository with 29,390 stars and 6,556 forks.
Trending score: 2.49; stars gained: +34; forks gained: +7.
Topics: analytics, awesome-list, data-mining, data-science, data-scientists, data-visualization
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data across desktop and web environments, with a responsive layout for mobile screens.
GitHub repository with 711 stars and 94 forks.
Trending score: 3.32; stars gained: +60; forks gained: +5.
Language: TypeScript
Topics: data-science, duckdb, geospatial, maplibre, maplibre-gl-js, tauri-app
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
GitHub repository with 42,908 stars and 3,485 forks.
Trending score: 2.87; stars gained: +30; forks gained: -2.
Language: Python
Topics: machine-learning, models, ui, ui-components, interface, python
Streamlit — A faster way to build and share data apps.
GitHub repository with 44,956 stars and 4,278 forks.
Trending score: 2.75; stars gained: +35; forks gained: +4.
Language: Python
Topics: python, machine-learning, data-science, deep-learning, data-visualization, streamlit
Apache Superset is a Data Visualization and Data Exploration Platform
GitHub repository with 73,266 stars and 17,600 forks.
Trending score: 2.74; stars gained: +28; forks gained: +19.
Language: TypeScript
Topics: superset, apache, apache-superset, data-visualization, data-viz, analytics
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
GitHub repository with 45,795 stars and 17,231 forks.
Trending score: 2.61; stars gained: +22; forks gained: +11.
Language: Python
Topics: airflow, apache, apache-airflow, automation, dag, data-engineering
:memo: An awesome Data Science repository to learn and apply for real world problems.
GitHub repository with 29,390 stars and 6,556 forks.
Trending score: 2.49; stars gained: +34; forks gained: +7.
Topics: analytics, awesome-list, data-mining, data-science, data-scientists, data-visualization