BigData Data Visualization links

Mon 14 September 2015
  • Arbor: graph visualization library using web workers and jQuery

  • Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.

  • CartoDB: open-source or freemium hosting for geospatial databases with powerful front-end editing capabilities and a robust API

  • Chart.js: open source HTML5 Charts visualizations

  • Crossfilter: JavaScript library for exploring large multivariate datasets in the browser. Works well with dc.js and d3.js

  • Cubism: JavaScript library for time series visualization

  • Cytoscape: JavaScript library for visualizing complex networks

  • D3.js: javaScript library for diagram generation. D3 visualization learnings, this website has D3.js Tutorials, D3.js Screencasts and a D3.js Newsletter

  • DC.js: Dimensional charting built to work natively with crossfilter rendered using d3.js. Excellent for connecting charts/additional metadata to hover events in D3

  • Envisionjs: dynamic HTML5 visualization

  • Freeboard: pen source real-time dashboard builder for IOT and other web mashups

  • Gephi: An award-winning open-source platform for visualizing and manipulating large graphs and network connections

  • Google Charts: simple charting API

  • Grafana: graphite dashboard frontend, editor and graph composer

  • Graphite: scalable Realtime Graphing

  • Highcharts: simple and flexible charting API

  • IPython: provides a rich architecture for interactive computing

  • Keylines: toolkit for visualizing the networks in your data

  • Matplotlib: plotting with Python

  • NVD3: chart components for d3.js

  • Peity: Progressive SVG bar, line and pie charts

  • Plot.ly: Easy-to-use web service that allows for rapid creation of complex charts, from heatmaps to histograms. Upload data to create and style charts with Plotly online spreadsheet. Fork others plots.

  • Recline: simple but powerful library for building data applications in pure Javascript and HTML

  • Redash: open-source platform to query and visualize data

  • Seaborn: statistical data visualization. Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

  • Sigma.js: JavaScript library dedicated to graph drawing

  • Square Cubism.js: D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources

  • Twitter Ambrose is a platform for visualization and real-time monitoring of MapReduce data workflows. It presents a global view of all the map-reduce jobs derived from your workflow after planning and optimization. As jobs are submitted for execution on your Hadoop cluster, Ambrose updates its visualization to reflect the latest job status.

  • Vega: a visualization grammar

  • Datavisualization.ch Selected Tools is a collection of tools that we, the people behind Datavisualization.ch, work with on a daily basis and recommend warmly. This is not a list of everything out there, but instead a thoughtfully curated selection of our favourite tools that will make your life easier creating meaningful and beautiful data visualizations.