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.
- 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).
- From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals.
- 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.
Data Source | Domain(s) | Supported Versions | Config UI Availability | Triggered Plugins | Collection Mode |
---|---|---|---|---|---|
GitHub (include GitHub Action) | Source Code Management, Code Review, Issue Tracking, CI/CD | Cloud | Available | github , gitextractor |
Full Refresh, Incremental Sync(for issues , PRs ) |
GitLab (include GitLabCI) | Source Code Management, Code Review, Issue Tracking, CI/CD | Cloud, Community Edition 13.x+ | Available | gitlab , gitextractor |
Full Refresh, Incremental Sync(for issues ) |
Gitee | Source Code Management, Code Review, Issue Tracking | Cloud | Not Available | gitee , gitextractor |
Incremental Sync |
BitBucket | Source Code Management, Code Review | Cloud | Not Available | bitbucket , gitextractor |
Full Refresh |
Jira | Issue Tracking | Cloud, Server 8.x+, Data Center 8.x+ | Available | jira |
Full Refresh, Incremental Sync(for issues , changelogs , worklogs ) |
TAPD | Issue Tracking | Cloud | Not Available | tapd |
Full Refresh, Incremental Sync(for stories , bugs , tasks ) |
Jenkins | CI/CD | 2.263.x+ | Available | jenkins |
Full Refresh |
Feishu | Calendar | Cloud | Not Available | feishu |
Full Refresh |
AE | Source Code Management | Not Available | ae |
Full Refresh |
- Install via Docker Compose
- Install via Kubernetes
- Install via Helm
- Install in Temporal Mode
- Install in Developer Mode
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.
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.
You can track the progress of the Blueprint you have just set up.
Once the first run of the Blueprint is completed, you can view the corresponding dashboards.
If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.
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.
- Create an Issue: Report a bug or feature request to Apache DevLake
- Submit a PR: Start with good first issues or issues with no assignees
- Join Mailing list: Initiate or participate in project discussions on the mailing list
- Write a Blog: Write a blog to share your use cases about Apache DevLake
- Contribute a Plugin: Add a plugin to integrate Apache DevLake with more data sources for the community
- Apache DevLake's documentation is hosted at devlake.apache.org
- We have a separate GitHub repository for Apache DevLake's documentation: github.com/apache/incubator-devlake-website
- Roadmap 2022: Detailed project roadmaps for 2022.
This project is licensed under Apache License 2.0 - see the LICENSE file for details.