devtron-labs/devtron

The only Kubernetes dashboard you need

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Summary Information

Updated 29 minutes ago
Added to GitGenius on September 12th, 2026
Created on October 10th, 2020
Open Issues & Pull Requests: 777 (+0)
GitHub issues: Enabled
Number of forks: 591
Total Stargazers: 5,596 (+0)
Total Subscribers: 47 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 57.6 days
90th percentile: 3.1 days
Tracked items: 519

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 5% of issues opened in the past year have been closed. Three people close 51% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 189
New in 7 days: 2
Closed in 7 days: 2
Avg open age: 682 days
Stale 30+ days: 182
Stale 90+ days: 173

Recent activity

Opened in 7 days: 2
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (259)
  • enhancement (219)
  • needs-triage (111)
  • ICA-AUG24 (28)
  • To be prioritized (28)
  • triage-accepted (27)
  • P0 (26)
  • documentation (19)

Detailed Description

Devtron is a Kubernetes management platform that provides a dashboard for cluster visibility and application operations.

The tool addresses the complexity of managing Kubernetes by unifying application and infrastructure management through a single interface. It offers an extensible dashboard that provides visibility into Kubernetes clusters and streamlines Helm application management. The platform includes built-in role-based access control for secure operations and integrates with GitOps tools like ArgoCD and FluxCD to provide insights into workloads deployed across multiple clusters, creating a centralized DevOps hub.

Teams managing multiple Kubernetes clusters or those using GitOps workflows should consider Devtron if they need consolidated visibility and simplified operations across their infrastructure. The tool suits organizations looking to reduce operational complexity and accelerate deployment workflows. The platform is designed to work with major cloud providers' Kubernetes services and supports multi-cluster deployments, making it relevant for teams operating at scale.

The project maintains active development with regular commit activity. The codebase is written in Go and has established quality standards through best practices certification. The project provides comprehensive documentation and maintains community engagement through multiple channels including Discord and YouTube.