Protoype: Serious Timeseries Data Analysis

An intuitive and fast way to manage and analyze timeseries data

Features

1. Visual way of working with data (great UX!)
2. Super fast backend based on Node.js
3. Based on R as the analytics platform
4. From the ground-up web and mobile (Boostrap UI)

Drag and drop your timeseries data:

Architecture

Node.js handles REST requests and serves an HTML5 app. MongoDB is used to store timeseries as big vectors (super fast!). At the core is the R engine for data analysis and modeling (connects directly to MongoDB).

Setup

This project really is a stub and needs a lot of work still. But here's how you could setup the app:

1. Install R and configure the index.njs to point to your installation.
2. Install MongoDB and create a database "tsdms" with three collections: "triggers", "models", "timeseries".
3. Install NodeJS with the required libraries (see index.njs)
4. Run App by visiting http://localhost:3000/

Handles many timeseries with ease...