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.
- Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard data model.
- Visualize out-of-the-box engineering metrics in a series of use-case driven dashboards.
- Easily extend DevLake to support your data sources, metrics, and dashboards with a flexible framework for data collection and ETL (Extract, Transform, Load).
| Data Source | Domain | Supported Versions |
|---|---|---|
| GitHub | Source Code Management, Code Review, Issue Management | Cloud |
| Gitlab | Source Code Management, Code Review, Issue Management | Cloud, Community Edition 13.x+ |
| Jira | Issue Management | Cloud, Server 8.x+, Data Center 8.x+ |
| Jenkins | CI/CD | 2.263.x+ |
| Feishu | Documentation | Cloud |
| TAPD | Issue Management | Cloud |
- 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 ask 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 contributon. 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
- Put Up a PR: Start with good first issues or issues with no assignees
- 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
- Roadmap 2022: Detailed project roadmaps for 2022.
This project is licensed under Apache License 2.0 - see the LICENSE file for details.