GraphScope v0.3.0 is released as scheduled. This release includes new features and major updates for frontend APIs for graph manipulation, integration with other systems as well as code optimization for some operators. Another direction we are working on is to ease the deployment of GraphScope with/without Kubernetes.
To explore underlying insights hidden in graph data, many graph analytics algorithms, e.g., PageRank and single source shortest paths (the Dijkstra’s algorithm), have been designed to solve different problems.
Today we released GraphScope 0.2.0. With this release, we are happy to introduce GraphScope Playground, a hosted JupyterLab with GraphScope ready out-of-the-box. Now you can get started with GraphScope straight away in your browser without any hassle for setting it up.
The GraphScope team is pleased to announce the 0.2.0 release after two-months development.
The 0.2.0 release is focused on better getting started experience for end-users and we have
make a lot of improvements since the last minor release. We have improved our documentation
a lot, and made the kubernetes integration work for more settings. We have also brought the
support for various I/O to make GraphScope suitable for more production environments.
The source code of GraphScope is released today!