The Complete Graph Data Science Platform

LynxKite is an open-source “one stop shop” graph data science platform. Graph analytics and graph AI are the next frontier of data science and will improve machine learning performance in various applications.

With LynxKite you can:

Import data (megabytes to terabytes) from a variety of sources. Work directly with traditional data sources (CSV, JSON, ORC, Parquet files — local or Hadoop, JDBC, Hive, etc.) or from a graph DB like Neo4j.
Turn data easily into graphs.
Use algorithms from a large library of graph operations, including graph AI operations.
Put together complex data processing pipelines where you can combine graph operations, classical data analysis operations and machine learning.
Discover graphs and interpret algorithm results interactively, at any stage or step of the calculations, easily experimenting with different approaches and tuning parameters.
Seamlessly combine the benefits of a friendly "no code" GUI as well as coding via powerful Python integration (code embedding, Python API, code generation).
Accelerate adoption of graph data modelling and analytics in your organization by creating your own tutorials or wizards that allows less experienced people to contribute and learn.

LynxKite is to graph databases what RapidMiner and IBM SPSS Modeler are to SQL databases. But it is not necessary to have a graph database to use LynxKite as it manages its own internal graph data model. So LynxKite is not a graph DB but it is a powerful complementary technology for graph DBs if you have one already.

Try LynxKite

LynxKite in action

This detailed video shows how we used LynxKite to analyze an internal email graph.

LynxKite was used to deliver Graph AI applications to these clients:

Vodafone HKT DBS Hong Leong Bank Telkomsel Land Transport Authority Globe Celcom Singtel Indosat Ooredoo