Plywood is architected around the principles of nested Split-Apply-Combine, a powerful divide-and-conquer algorithm that can be used to construct all types of data visualizations. Plywood comes with its own expression language where a single Plywood expression can translate to multiple database queries, and where results are returned in a nested data structure so they can be easily consumed by visualization libraries such as D3.js.
You can use Plywood in the browser and/or in node.js to easily create your own visualizations and applications. For an example application built using Plywood, please see Pivot.
Plywood also acts as a very advanced query planner for Druid, and Plywood will determine the most optimal way to execute Druid queries.
To use Plywood from npm simply run:
npm install plywood.
Plywood can also be used by the browser.
To learn more, see http://plywood.imply.io
- Pivot - a data exploration GUI built using Plywood.
- PlyQL - a SQL-like interface to plywood
- Vadim Ogievetsky talks about the inspiration behind Plywood
To run all the Plywood unit tests you will need to set up the data sources in the DataZoo.
Questions & Support
For updates about new and upcoming features follow @implydata on Twitter.
Please file bugs and feature requests by opening and issue on GitHub and direct all questions to our user groups.