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apache / incubator-devlake / refs/heads/release-v0.11
commitaa739bb4ab8bab4735fd3c4249d1944e43be9a94[log] [tgz]
authorzhangliang <liang.zhang@merico.dev>Mon Jun 13 22:15:19 2022 +0800
committerzhangliang <liang.zhang@merico.dev>Mon Jun 13 22:21:06 2022 +0800
treee732b02153cdf0bf5b5328f3858910ee1d4c40b7
parentb6e4d09e49730d421bb8737c607326fd6a4370d0 [diff]
refactor: remove build section in
1 file changed
tree: e732b02153cdf0bf5b5328f3858910ee1d4c40b7
  1. .github/
  2. api/
  3. config/
  4. config-ui/
  5. deployment/
  6. devops/
  7. e2e/
  8. errors/
  9. grafana/
  10. img/
  11. logger/
  12. migration/
  13. models/
  14. plugins/
  15. releases/
  16. runner/
  17. scripts/
  18. services/
  19. test/
  20. testhelper/
  21. utils/
  22. version/
  23. worker/
  24. .asf.yaml
  25. .editorconfig
  26. .env.example
  27. .gitignore
  28. .golangci-goheader.template
  29. .golangci.yaml
  30. .rat-excludes
  31. CONTRIBUTING.md
  32. DISCLAIMER
  33. docker-compose-temporal.yml
  34. docker-compose.yml
  35. Dockerfile
  36. go.mod
  37. go.sum
  38. k8s-deploy.yaml
  39. LICENSE
  40. main.go
  41. Makefile
  42. NOTICE
  43. README.md
README.md

Apache DevLake(Incubating)

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What is Apache DevLake?

Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to distill insights for engineering productivity.

Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query.

Demo

See demo. The data in the demo comes from this repo.

What can be accomplished with Apache DevLake?

  1. Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard data model.
  2. Provide out-of-the-box engineering metrics to be visualized in a sereis of dashboards.
  3. Allow a flexible framework for data collection ad ETL to support customizable data analysis.

Supported Data Sources

Data SourceDomainVersions
FeishuDocumentationCloud
GitHubSource Code Management, Code Review, Issue/Task ManagementCloud
GitlabSource Code Management, Code Review, Issue/Task ManagementCloud, Community Edition 13.x+
JenkinsCI/CD2.263.x+
JiraIssue/Task ManagementCloud, Server 8.x+, Data Center 8.x+
TAPDIssue/Task ManagementCloud

Quick Start

Project Roadmap

  • Roadmap 2022: Detailed project roadmaps for 2022.
  • Supported engineering metrics: provide rich perspectives to observe and analyze SDLC.

How to Contribute

This section lists all the documents to help you contribute to the repo.

Community

  • Slack: Message us on Slack
  • FAQ: Frequently Asked Questions
  • Wechat Community:

License

This project is licensed under Apache License 2.0 - see the LICENSE file for details.