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apache / incubator-devlake / refs/tags/v0.15.0-zentao-beta-4
tag4156ea1e46abc8f078dfe81d1ea9d4b563745425
taggerYingchu Chen <yingchu.chen@merico.dev>Mon Nov 21 14:15:54 2022 +0800
object17d7a87985a7316fff7fb5d8bc38dde83d568019 
commit17d7a87985a7316fff7fb5d8bc38dde83d568019[log] [tgz]
authorWarren Chen <yingchu.chen@merico.dev>Mon Nov 21 14:14:56 2022 +0800
committerGitHub <noreply@github.com>Mon Nov 21 14:14:56 2022 +0800
tree49dd50bd71fee98f6fcc73ef869f588efe8b966e
parent7671c7649f25186970125e0cc7a306b0b1c9cf72 [diff]
fix(zentao): update fields to float (#3769)


10 files changed
tree: 49dd50bd71fee98f6fcc73ef869f588efe8b966e
  1. .github/
  2. api/
  3. config/
  4. config-ui/
  5. deployment/
  6. devops/
  7. errors/
  8. generator/
  9. grafana/
  10. helpers/
  11. img/
  12. impl/
  13. logger/
  14. models/
  15. plugins/
  16. releases/
  17. runner/
  18. scripts/
  19. services/
  20. test/
  21. utils/
  22. version/
  23. worker/
  24. .asf.yaml
  25. .editorconfig
  26. .env.example
  27. .gitignore
  28. .golangci-goheader.template
  29. .golangci.yaml
  30. .licenserc.yaml
  31. DISCLAIMER
  32. docker-compose.yml
  33. Dockerfile
  34. go.mod
  35. go.sum
  36. LICENSE
  37. main.go
  38. Makefile
  39. NOTICE
  40. README.md
README.md
Apache DevLake(Incubating)
PRs Welcome unit-test Go Report Card Slack
🤔 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 extract insights for engineering excellence, developer experience, and community growth.
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.
🎯 What can be accomplished with Apache DevLake?
  1. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC).
  2. From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals.
  3. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation.
👉 Live Demo
DORA Dashboard
All Dashboards
💪 Supported Data Sources
Data SourceDomain(s)Supported VersionsConfig UI AvailabilityTriggered PluginsCollection Mode
GitHub (include GitHub Action)Source Code Management, Code Review, Issue Tracking, CI/CDCloudAvailablegithub, gitextractorFull Refresh, Incremental Sync(for issues, PRs)
GitLab (include GitLabCI)Source Code Management, Code Review, Issue Tracking, CI/CDCloud, Community Edition 13.x+Availablegitlab, gitextractorFull Refresh, Incremental Sync(for issues)
GiteeSource Code Management, Code Review, Issue TrackingCloudNot Availablegitee, gitextractorIncremental Sync
BitBucketSource Code Management, Code ReviewCloudNot Availablebitbucket, gitextractorFull Refresh
JiraIssue TrackingCloud, Server 8.x+, Data Center 8.x+AvailablejiraFull Refresh, Incremental Sync(for issues, changelogs, worklogs)
TAPDIssue TrackingCloudNot AvailabletapdFull Refresh, Incremental Sync(for stories, bugs, tasks)
JenkinsCI/CD2.263.x+AvailablejenkinsFull Refresh
FeishuCalendarCloudNot AvailablefeishuFull Refresh
AESource Code ManagementNot AvailableaeFull Refresh
🚀 Getting Started
🤓 How do I use DevLake?
1. Set up DevLake
You can set up Apache DevLake by following our step-by-step instructions for Install via Docker Compose or Install via Kubernetes. Please see detailed instructions here, and ask the community if you get stuck at any point.
2. Create a Blueprint
The DevLake Configuration UI will guide you through the process (a Blueprint) to define the data connections, data scope, transformation and sync frequency of the data you wish to collect.
3. Track the Blueprint's progress
You can track the progress of the Blueprint you have just set up.
4. View the pre-built dashboards
Once the first run of the Blueprint is completed, you can view the corresponding dashboards.
5. Customize the dashboards with SQL
If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.
😍 How to Contribute
Please read the contribution guidelines before you make contribution. The following docs list the resources you might need to know after you decided to make contribution.
📄 Contributing to Documentation:
⌚ Project Roadmap
  • Roadmap 2022: Detailed project roadmaps for 2022.
💙 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.