autobase-tech/autobase

Automated database platform for PostgreSQL® - Your own DBaaS.

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Summary Information

Updated 40 minutes ago
Added to GitGenius on September 15th, 2026
Created on June 4th, 2019
Open Issues & Pull Requests: 28 (+0)
GitHub issues: Enabled
Number of forks: 603
Total Stargazers: 4,390 (+0)
Total Subscribers: 46 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.7 hours
Mean response time: 6.1 days
90th percentile: 39.5 hours
Tracked items: 431

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 62% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 88% of issues opened in the past year have been closed, leaving a working backlog. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 21
New in 7 days: 5
Closed in 7 days: 2
Avg open age: 416 days
Stale 30+ days: 11
Stale 90+ days: 10

Recent activity

Opened in 7 days: 5
Closed in 7 days: 2
Comments in 7 days: 10
Events in 7 days: 45

Top labels

  • question (84)
  • bug (56)
  • feature request (36)
  • automation (31)
  • enhancement (28)
  • console (16)
  • UI (14)
  • new feature (11)

Detailed Description

Autobase is an automated database platform that enables you to run your own managed PostgreSQL service with minimal operational overhead.

The tool addresses the complexity of managing PostgreSQL clusters by automating critical operational tasks including failover, backup, monitoring, and scaling. It builds on Patroni for cluster management and high availability, handling the coordination and decision-making that would otherwise require dedicated database administrators. The platform is designed to provide a self-hosted alternative to commercial database-as-a-service offerings, letting teams maintain control over their infrastructure while reducing the manual work of database operations.

Autobase suits organizations that want the convenience of a managed database service but need to keep their data and infrastructure on their own servers. It works well for teams running PostgreSQL at scale who currently lack dedicated database operations staff or want to reduce that burden. The project is particularly relevant for those already invested in Patroni who want higher-level automation layered on top, or for teams evaluating whether to build internal tooling versus adopting a platform solution.

The project shows active development with regular commits addressing core functionality and bug fixes. Work spans multiple areas including cluster orchestration, backup and recovery mechanisms, monitoring integration, and the web interface for cluster management. The codebase demonstrates ongoing refinement of both the automation logic and the operational tooling that operators interact with directly.