# Topics

- [Maps & geospatial visualization](https://awesomedataviz.com/topics/maps/): Web maps, globes, choropleths and geospatial analysis. (29 tools)
- [Graph & network visualization](https://awesomedataviz.com/topics/graphs-and-networks/): Node-link diagrams for networks, dependencies and knowledge graphs. (26 tools)
- [3D & scientific visualization](https://awesomedataviz.com/topics/3d-and-scientific/): Meshes, volumes, point clouds and scientific data in 3D. (25 tools)
- [Terminal & command-line charts](https://awesomedataviz.com/topics/terminal/): Charts and plots rendered as text in the terminal. (15 tools)
- [Financial & stock charts](https://awesomedataviz.com/topics/financial-charts/): Candlesticks, OHLC and trading charts. (6 tools)
- [Dashboards & BI](https://awesomedataviz.com/topics/dashboards/): Build, share and refresh dashboards. (27 tools)
- [Diagrams & diagrams as code](https://awesomedataviz.com/topics/diagrams/): Flowcharts, UML, ER and timing diagrams. (25 tools)
- [Jupyter & notebook visualization](https://awesomedataviz.com/topics/notebooks/): Interactive charts inside Jupyter and other notebooks. (16 tools)
- [GPU-accelerated & WebGL visualization](https://awesomedataviz.com/topics/gpu-and-webgl/): WebGL, WebGPU and OpenGL rendering for large data. (18 tools)
- [Visualizing large datasets](https://awesomedataviz.com/topics/large-datasets/): Millions of points, big tables and high-dimensional data. (12 tools)
- [Time series & real-time charts](https://awesomedataviz.com/topics/time-series/): Streaming, real-time and long time-series data. (14 tools)
- [Machine learning & AI visualization](https://awesomedataviz.com/topics/machine-learning/): Experiment tracking, model debugging, embeddings and LLM traces. (17 tools)
- [Grammar of graphics libraries](https://awesomedataviz.com/topics/grammar-of-graphics/): Declarative charts built from data, marks, scales and encodings. (22 tools)
- [Exploratory data analysis tools](https://awesomedataviz.com/topics/data-exploration/): Profile, explore and find patterns in a dataset quickly. (9 tools)

Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).