Apache Superset is a modern data exploration and visualization platform
Superset is a data exploration platform designed to be visual, intuitive and interactive.
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user
Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
Fast loading dashboards with configurable caching
RAW is an open web tool to create custom vector-based visualizations on top of the amazing d3.js library.
Primarily conceived as a tool for designers and vis geeks, RAW aims at providing a missing link between spreadsheet applications (e.g. Microsoft Excel, Apple Numbers, Google Docs, OpenRefine, …) and vector graphics editors (e.g. Adobe Illustrator, Inkscape, …).
RAW works with tabular data (e.g. spreadhseets and comma-separated values) as well as with copied-and-pasted texts from other applications (e.g. Microsoft Excel, TextWrangler, TextEdit, …). Based on the SVG format, visualizations can be easily edited with vector graphics applications for further refinements, or directly embedded into web pages.
Knowing the need of working with sensitive information, the data uploaded to RAW is processed only by the web browser: no server-side operations or storages are performed and no one will see, touch or copy your data!
Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world.
Grafana is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.
Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it.
Visualizations: once you have a dataset, you can create different visualizations out of it.
Dashboards: combine several visualizations into a single dashboard.
Beautifully crafted timelines that are easy, and intuitive to use.
The Visual Understanding Environment (VUE) is an Open Source project based at Tufts University. The VUE project is focused on creating flexible tools for managing and integrating digital resources in support of teaching, learning and research. VUE provides a flexible visual environment for structuring, presenting, and sharing digital information.
JpGraph is an Object-Oriented Graph creating library for PHP >= 5.1 The library is completely written in PHP and ready to be used in any PHP scripts (both CGI/APXS/CLI versions of PHP are supported).
Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction.