Omnisci Metis Save

Tools for massively parallel and multi-variate data exploration

Project README

Metis · Build Status

Tools for massively parallel and multi-variate data exploration.

Quickly build interactive visualizations powered by the speed of HeavyDB.

Data Layer

Modules for building declarative and cross-filtering data pipelines

View Layer

Modules for bootstrapping a multi-dimensional visualization framework

Thrift Layer

Modules for utilizing the MapD Core backend via the Thrift protocol

License

This project is licensed under the Apache License, Version 2.0.

Open Source Agenda is not affiliated with "Omnisci Metis" Project. README Source: heavyai/metis
Stars
39
Open Issues
57
Last Commit
1 month ago
Repository

Open Source Agenda Badge

Open Source Agenda Rating