Influent visual analytics for big data transaction flow

Influent is a new web based application for visually and interactively following transaction flow, revealing actors and behaviors of potential concern that might otherwise go unnoticed. Summary visualization of transactional patterns and actor characteristics, interactive link expansion and dynamic entity clustering enable Influent to operate effectively at scale with big data sources, in any modern web browser. Influent has been used to explore data sets with millions of entities and hundreds of millions of transactions.

Extensible

Service Provider Interfaces (SPIs) provide a plugin style framework for developers to provide runtime-injected modules for search, data access, clustering and other services. Avro is used to define the SPI protocols in cross-language form. In process Java service implementations are injected via Guice, which may optionally delegate to out of process providers using web services standards such as REST, for which Avro provides convenient serialization.

Open Source

Influent is under ongoing development and is freely available for download under The MIT License (MIT) open source licensing. Unlike GNU General Public License (GPL), MIT freely permits distribution of derivative work under proprietary license, without requiring the release of source code.

Technical documentation is provided alongside the source code on GitHub.