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.
See demo. The data in the demo comes from this repo.
User Flow
- Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard data model.
- Provide out-of-the-box engineering metrics to be visualized in a sereis of dashboards.
- Allow a flexible framework for data collection ad ETL to support customizable data analysis.
| Data Source | Domain | Versions |
|---|---|---|
| Feishu | Documentation | Cloud |
| GitHub | Source Code Management, Code Review, Issue/Task Management | Cloud |
| Gitlab | Source Code Management, Code Review, Issue/Task Management | Cloud, Community Edition 13.x+ |
| Jenkins | CI/CD | 2.263.x+ |
| Jira | Issue/Task Management | Cloud, Server 8.x+, Data Center 8.x+ |
| TAPD | Issue/Task Management | Cloud |
- Roadmap 2022: Detailed project roadmaps for 2022.
- Supported engineering metrics: provide rich perspectives to observe and analyze SDLC.
This section lists all the documents to help you contribute to the repo.
- Architecture: Architecture of Apache DevLake
- Data Model: Domain Layer Schema
- Add a Plugin: Guide to add a plugin
- Add Metrics: Guide to add metrics in a plugin
- Contribution Guidelines: Start from here if you want to make contribution
This project is licensed under Apache License 2.0 - see the LICENSE file for details.