Data Visualization

Links

• Vega - Declarative format for creating, saving, and sharing visualization designs. (Code)

• Vega-Lite - High-level grammar of interactive graphics. Provides a concise JSON syntax for rapidly generating visualizations to support analysis. (Code) (HN)

• Vega-Lite API - JavaScript API for Vega-Lite.

• Vega Editor

• VegaGraphs - Implements graph visualization with Vega-Lite.

• react-vega - Convert Vega spec into React class conveniently.

• altair_recipes - Collection of ready-made statistical graphics for vega.

• XVega - C++ API to Vega-Lite.

• Fundamentals of Data Visualization book (2019)

• Most cited scientific papers within data visualization (2019)

• Visualization of related subreddits

• Draco - Formal framework for representing design knowledge about effective visualization design as a collection of constraints.

• Observable - Magic notebook for visualization.

• Bl.ocks - Simple viewer for sharing code examples hosted on GitHub Gist.

• react-vis - Data Visualization Components.

• deck.gl - WebGL-powered framework for visual exploratory data analysis of large datasets.

• Flourish - Quickly turn your spreadsheets into stunning online charts, maps and interactive stories.

• Dash App Gallery

• Scientific Visualization – Python & Matplotlib book

• Awesome Interactive Journalism

• SandDance - Visually explore, understand, and present your data.

• Bokeh - Interactive Data Visualization in the browser, from Python.

• In praise of scatter plots (2019)

• Perspective - Streaming pivot visualization via WebAssembly.

• Bar Chart Race, Explained (2019)

• owid-grapher - Interactive data visualizations done quickly.

• HoloViz - High-level tools to simplify visualization in Python.

• Datashader - Graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly.

• Perception in Visualization

• Prize winning JS solution for the Telegram April 2019 coding contest

• New technique for making responsive, JavaScript-free charts (2020)

• HiPlot - Lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. (Article) (HN)

• Explorabl.es - Hub for learning through play. (HN)

• Interactive Data Visualization course (2020)

• Vega-Embed - Makes it easy to embed interactive Vega and Vega-Lite views into web pages.

• Facette - Time series data visualization software.

• Experimental 3D axis for matplotlib

• Our World in Data - Research and data to make progress against the world’s largest problems.

• PlotJuggler - QT5 based application to display time series in plots, using an intuitive "drag and drop" interface. (Web) (HN)

• Lightweight Charts - Financial lightweight charts built with HTML5 canvas.

• Glue - Python project to link visualizations of scientific datasets across many files. (Web) (Multi Dimensional Linked Data Exploration with Glue)

• Learning Observable

• BizCharts - Powerful data visualization library based on G2 and React.

• Bar Chart Race - Make animated bar chart races in Python with matplotlib. (Docs) (Article)

• Gallery of Concept Visualization - Features projects which use pictures to communicate complex and difficult ideas.

• Vida - Software tool that reads JSON files and turns them into compelling dashboards. (Code)

• Best of the visualization web (2020)

• Data Visualisation Catalogue (HN)

• Muze - Free data visualization library to create Tableau-like charts in browser.

• Beautiful News - Unseen trends, uplifting stats - daily.

• Data-Visualization Books Everyone Should Read

• Information is Beautiful

• e-sum - Visualization of exponential sums. (Code)

• Matplot++ - C++ Graphics Library for Data Visualization.

• How to pick more beautiful colors for your data visualizations (2020) (HN)

• Kyrix - Interactive details-on-demand data visualizations at scale.

• Dash Deck - Library for building 3D interactive maps and graphical visualizations directly in Dash.

• Apache ECharts - Powerful, interactive charting and data visualization library for browser. (Web)

• plotly.py - Interactive graphing library for Python (includes Plotly Express).

• Gnuplot 5 book

• Pandas Profiling - Create HTML profiling reports from pandas DataFrame objects.

• ImPlot - Immediate mode, GPU accelerated plotting library for Dear ImGui.

• Edward Tufte: Seeing with Fresh book (2020)

• Why We're Building Observable (2020) (HN)

• Global population density graphic (2020)

• Lux - Python API for Intelligent Visual Data Discovery.

• ETE (Environment for Tree Exploration) - Python programming toolkit that assists in the automated manipulation, analysis and visualization of phylogenetic trees. (Web)

• From data to Viz - Find the graphic you need. (Code)

• hvPlot - High-level plotting API for pandas, dask, xarray, and networkx built on HoloViews. (Docs)

• HoloViz - High-level tools to simplify visualization in Python. (GitHub)

• tikzplotlib - Convert matplotlib figures to TikZ/PGFplots for smooth integration into LaTeX.

• Chartify - Python library that makes it easy for data scientists to create charts.

• G6 - Graph Visualization Framework in TypeScript.

• Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?

• Datashader - Quickly and accurately render even the largest data. (Docs)

• VisPy - Interactive scientific visualization in Python. (Web)

• ChartSeer - Visualization tool that helps analysts steer their exploratory visual analysis (EVA) through dynamic visualization and recommendation of charts.

• dygraphs - Interactive visualizations of time series using JavaScript and the HTML canvas tag. (Web)

• Raincloud Plots - Code and tutorials to visualise your data that is both beautiful and statistically valid.

• Data Visualization and the Modern Imagination (HN)

• Awesome visualization research