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