apacheData & analytics
Apache DevLake
An engineering data platform that unifies sources such as GitHub, GitLab, Jira, Jenkins, and SonarQube for DORA and delivery analytics in Grafana.
- Team management
- DevOps
- Data
- Data analysis
- Monitoring / Observability
- Web
- Browser
- Linux
- Self-hostable
- Runs locally
- Docker supported
- Popularity
- 3.1k Stars
- GitHub stars
- Recent activity
- 9/12/2026
- Updated in the last 30 days
- License
- APACHE-2.0
- Permissive
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
Engineering teams and open-source projects often face the challenge of fragmented data scattered across GitHub, Jira, Jenkins, and other tools, making it difficult to measure engineering productivity centrally.
Practical value
By ingesting data streams from multiple mainstream DevOps tools into a unified model and combining them with Grafana to output pre-built dashboards like DORA, it practically solves the pain points of data aggregation and visual presentation.
Innovation / differentiation
The core lies in the cleaning and transformation models for multi-source heterogeneous development data combined with open-source implementation, which is essentially an engineering solution for data integration and metric aggregation.
Leverage potential
It connects directly with existing CI/CD, code hosting, and project management tools, and supports custom metric and dashboard expansion via SQL.
Why now
Engineering effectiveness measurement and standardized metrics like DORA continue to receive industry attention, and multi-tool collaborative measurement is a common requirement.
Community activity
In the last 90 days there were 55 new issues and 153 pull requests; the bounded issue/PR samples include 43 issue authors and 30 PR contributors, with at least 4 releases.
Maintainer responsiveness
The 55-issue window sample had a 62% close rate, and the 98-pull-request sample had a 73% merge rate. Maintainer-response observations covered 65% of that issue sample, with a 0% response rate and median first response of not enough data.
Key highlights
- Ingests engineering data from GitHub, GitLab, Jira, Jenkins, SonarQube, and other sources
- Blueprints define connections, scope, transformations, and synchronization cadence
- Integrated Grafana with common engineering views including DORA-oriented dashboards
Quick start
How it is installed, how hard it is, and where to start.
Where it runs
Self-hosted (your own server)
Difficulty
Medium — some setup needed
- 01Deploy with Docker Compose or Helm for your environment and verify database/persistence settings first.
- 02Connect one source-control system and one delivery/project source, create a Blueprint, and complete the first synchronization.
- 03Compare the prebuilt Grafana metrics with your team definitions, then add more sources or custom SQL metrics incrementally.
Best for
- Teams that want data on their own servers
- Developers who want to try it on their machine
- People who prefer Docker deploys
More about it
Apache DevLake brings engineering data scattered across source control, project management, CI, and code-quality systems into a shared analytics layer. Teams define data connections, scope, transformations, and synchronization cadence through Blueprints, then inspect integrated Grafana dashboards for areas such as DORA metrics, delivery flow, and open-source community activity. When the prebuilt views do not match an internal definition, the collected model can also be queried with SQL and visualized in custom Grafana dashboards. The project documents sources including GitHub, GitLab, Jira, Jenkins, and SonarQube, with Docker Compose and Helm as the main deployment paths, making it useful when engineering-performance discussions need a consistent data base.
Sources
Each field shows its status and source — expand to review.
12 · Expand
Sources
Each field shows its status and source — expand to review.
capability tags
Verifieddata_analysis, monitoring
Source: admin_cms · cms editor · 8/17/2026
Latest release
Verifiedv1.0.3-beta17
Source: GitHub API · latest_release=v1.0.3-beta17 · 9/12/2026
License
VerifiedApache-2.0
Source: GitHub API · license.spdx_id=Apache-2.0 · 9/12/2026
needs api key
VerifiedNo
Source: admin_cms · cms editor · 8/17/2026
One-liner
Verified{"en":"An engineering data platform that unifies sources such as GitHub, GitLab, Jira, Jenkins, and SonarQube for DORA and delivery analytics in Grafana.","zh":"把 GitHub、GitLab、Jira、Jenkins、SonarQube 等研发数据汇入统一模型，并用 Grafana 查看 DORA 和研发流程指标。"}
Source: admin_cms · cms editor · 8/17/2026
Platforms
Verifiedbrowser, linux
Source: admin_cms · cms editor · 8/17/2026
Category hint
Inferred from materialsops-cloud
Source: Project README · hint=ops-cloud · 8/17/2026
product forms
Verifiedweb
Source: admin_cms · cms editor · 8/17/2026
role tags
Verifiedmanagement, devops, data
Source: admin_cms · cms editor · 8/17/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=true · 9/12/2026
supports local
VerifiedYes
Source: admin_cms · cms editor · 8/17/2026
supports self host
VerifiedYes
Source: admin_cms · cms editor · 8/17/2026
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