Data Visualization
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- Declarative format for creating, saving, and sharing visualization designs. ()
- High-level grammar of interactive graphics. Provides a concise JSON syntax for rapidly generating visualizations to support analysis. () ()
- JavaScript API for Vega-Lite.
- Implements graph visualization with Vega-Lite.
- Convert Vega spec into React class conveniently.
- Collection of ready-made statistical graphics for vega.
- C++ API to Vega-Lite.
- Formal framework for representing design knowledge about effective visualization design as a collection of constraints.
- Magic notebook for visualization.
- Simple viewer for sharing code examples hosted on GitHub Gist.
- Data Visualization Components.
- WebGL-powered framework for visual exploratory data analysis of large datasets.
- Quickly turn your spreadsheets into stunning online charts, maps and interactive stories.
- Visually explore, understand, and present your data.
- Interactive Data Visualization in the browser, from Python.
- Streaming pivot visualization via WebAssembly.
- Interactive data visualizations done quickly.
- High-level tools to simplify visualization in Python.
- Graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly.
- Lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. () ()
- Hub for learning through play. ()
- Makes it easy to embed interactive Vega and Vega-Lite views into web pages.
- Time series data visualization software.
- Research and data to make progress against the world’s largest problems.
- QT5 based application to display time series in plots, using an intuitive "drag and drop" interface. () ()
- Financial lightweight charts built with HTML5 canvas.
- Python project to link visualizations of scientific datasets across many files. () ()
- Powerful data visualization library based on G2 and React.
- Make animated bar chart races in Python with matplotlib. () ()
- Features projects which use pictures to communicate complex and difficult ideas.
- Software tool that reads JSON files and turns them into compelling dashboards. ()
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- Free data visualization library to create Tableau-like charts in browser.
- Unseen trends, uplifting stats - daily.
- Visualization of exponential sums. ()
- C++ Graphics Library for Data Visualization.
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- Interactive details-on-demand data visualizations at scale.
- Library for building 3D interactive maps and graphical visualizations directly in Dash.
- Powerful, interactive charting and data visualization library for browser. ()
- Interactive graphing library for Python (includes Plotly Express).
- Create HTML profiling reports from pandas DataFrame objects.
- Immediate mode, GPU accelerated plotting library for Dear ImGui.
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- Python API for Intelligent Visual Data Discovery.
- Python programming toolkit that assists in the automated manipulation, analysis and visualization of phylogenetic trees. ()
- Find the graphic you need. ()
- High-level plotting API for pandas, dask, xarray, and networkx built on HoloViews. ()
- High-level tools to simplify visualization in Python. ()
- Convert matplotlib figures to TikZ/PGFplots for smooth integration into LaTeX.
- Python library that makes it easy for data scientists to create charts.
- Graph Visualization Framework in TypeScript.
- Quickly and accurately render even the largest data. ()
- Interactive scientific visualization in Python. ()
- Visualization tool that helps analysts steer their exploratory visual analysis (EVA) through dynamic visualization and recommendation of charts.
- Interactive visualizations of time series using JavaScript and the HTML canvas tag. ()
- Code and tutorials to visualise your data that is both beautiful and statistically valid.
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