fix: conflict between release and master (#230)

* fix: release shell & enhance code (#220) (#221)

* Create NOTICE (#223)


Co-authored-by: Cong Zhao <>
Co-authored-by: Simon Cheung <>
tree: 64d6546a15b43f1ee76d6648cb098c0467d5672e
  1. .github/
  2. computer-algorithm/
  3. computer-api/
  4. computer-core/
  5. computer-dist/
  6. computer-driver/
  7. computer-k8s/
  8. computer-k8s-operator/
  9. computer-test/
  10. computer-yarn/
  11. .asf.yaml
  12. .gitattributes
  13. .gitignore
  14. .licenserc.yaml
  15. checkstyle.xml
  18. NOTICE
  19. pom.xml

Apache HugeGraph-Computer

License Build Status codecov Docker Pulls

The hugegraph-computer is a distributed graph processing system for hugegraph. It is an implementation of Pregel. It runs on Kubernetes or YARN framework.


  • Support distributed MPP graph computing, and integrates with HugeGraph as graph input/output storage.
  • Based on BSP(Bulk Synchronous Parallel) model, an algorithm performs computing through multiple parallel iterations, every iteration is a superstep.
  • Auto memory management. The framework will never be OOM(Out of Memory) since it will split some data to disk if it doesn't have enough memory to hold all the data.
  • The part of edges or the messages of super node can be in memory, so you will never lose it.
  • You can load the data from HDFS or HugeGraph, output the results to HDFS or HugeGraph, or adapt any other systems manually as needed.
  • Easy to develop a new algorithm. You just need to focus on a vertex only processing just like as in a single server, without worrying about message transfer and memory/storage management.

Learn More

The project homepage contains more information about hugegraph-computer.

And here are links of other repositories:

  1. hugegraph-server (graph's core component - OLTP server)
  2. hugegraph-toolchain (include loader/dashboard/tool/client)
  3. hugegraph-commons (include common & rpc module)
  4. hugegraph-website (include doc & website code)


Welcome to contribute, please see How to Contribute for more information

Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.


hugegraph-computer is licensed under Apache 2.0 License.