Dataseed is an open platform for data visualisation, exploration and analysis. For more information and a live demo see https://getdataseed.com.
This open-source toolkit allows you to create custom visualisations driven by our back-end. Dataseed's back-end supports large datasets, real-time data streams, on-the-fly aggregation (OLAP), and statistical operations. You can import data via a RESTful API, or by uploading spreadsheets through the UI.
We are currently in beta, so please sign-up to be notified when we're accepting new users, or send us an email if you'd like to discuss a project.
- Cloud-hosted data storage and OLAP analytics engine
- RESTful JSON API for importing and querying data
- Open-source javascript front-end, built with backbone.js, grunt.js, bower, bootstrap - all the good stuff
- SVG charts built with d3.js
- Responsive and ready for desktop / tablet / mobile
- Versatile multi-dimensional data model
- Linked-data approach. Compatible with Datacube and SDMX
- Support for real-time data streams
- Statistical operations including mean, min, max, variance, sum of squares and standard deviation
git clone git@github.com:dataseed/dataseed-visualisation.git- Load index.html in a browser
You will see a visualisation of an example dataset. If you've already create a dataset, then just change the line in index.html:
new DataSetEmbedView({'id': '<your dataset id>'});
A build process is provided that will compile and minify the JS and LESS in /src into a single .js and .css file in /dist.
- NodeJS
- NPM
git clone git@github.com:dataseed/dataseed-visualisation.gitcd dataseed-visualisationnpm installnpm install -g bowerbower installgulp
An API is available for Dataseed that allows querying and importing of datasets. Documentation can be found at getdataseed.com/documentation.