moghtech/komodo

🦎 a tool to build and deploy software on many servers 🦎

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Summary Information

Updated 32 seconds ago
Added to GitGenius on September 5th, 2026
Created on March 13th, 2022
Open Issues & Pull Requests: 674 (+1)
GitHub issues: Enabled
Number of forks: 433
Total Stargazers: 12,679 (+1)
Total Subscribers: 31 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 30.6 hours
Mean response time: 26.9 days
90th percentile: 95.8 days
Tracked items: 832

How this project is maintained

Roughly one issue in two opened in the past year never receives a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "done" is answered fastest, typically in about 11 hours, while "ui" waits about 2 weeks. 69% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 19% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 606
New in 7 days: 7
Closed in 7 days: 1
Avg open age: 268 days
Stale 30+ days: 555
Stale 90+ days: 435

Recent activity

Opened in 7 days: 7
Closed in 7 days: 1
Comments in 7 days: 24
Events in 7 days: 42

Top labels

  • enhancement (149)
  • seen 👀 (69)
  • bug (45)
  • done (41)
  • info (21)
  • ui (20)
  • setup (17)
  • 1.19.2 (8)

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Detailed Description

Komodo is a tool to build and deploy software across many servers.

Komodo addresses the challenge of coordinating builds and deployments when managing infrastructure at scale. It provides a centralized interface for orchestrating software delivery across an arbitrary number of connected servers, with no architectural limits on server count or the APIs available for automation. The tool includes a web dashboard that displays deployment status, environment configuration, and system statistics across your infrastructure.

Teams managing multiple servers or complex deployment pipelines should consider Komodo if they need a unified control plane without constraints on infrastructure size or automation flexibility. The tool suits organizations that want to avoid vendor lock-in to specific APIs or cloud platforms, since it explicitly supports integration with any automation API. The project provides a demo environment and public build server for evaluation before deployment.

The project maintains active development with regular updates to both core functionality and documentation, including a published roadmap. The codebase is written in Rust and distributed under the GPL-V3 license, with an active community channel for support and discussion.