budibase/budibase

AI agents, automations and apps that run your operations. Model agnostic.

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 2nd, 2026
Created on June 7th, 2019
Open Issues & Pull Requests: 281 (+2)
GitHub issues: Enabled
Number of forks: 2,202
Total Stargazers: 28,261 (+0)
Total Subscribers: 222 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 77.0 days
90th percentile: 209.3 days
Tracked items: 1,765

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 28% of open issues come from outside the core team — the tracker reads mainly as internal planning. Work labelled "bug" is answered fastest, typically in about 25 hours, while "enhancement" waits about 2 weeks. 27% of tracked open issues have had no activity in three months. Only 6% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 255
New in 7 days: 6
Closed in 7 days: 5
Avg open age: 139 days
Stale 30+ days: 164
Stale 90+ days: 68

Recent activity

Opened in 7 days: 6
Closed in 7 days: 5
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (943)
  • enhancement (835)
  • stale (503)
  • env - production (429)
  • customer (264)
  • low-hanging-fruit (204)
  • premium-enterprise (203)
  • bb-automations (180)

Most active issues this week

Detailed Description

Budibase is an open-source low-code platform that enables teams to build AI agents, applications, and automations for business operations without extensive custom development.

The platform addresses the problem of fragmented operational tooling by providing a unified environment where business logic can be modeled and executed. It works by allowing users to connect to databases, AI models, and business applications, then define workflows and agents that can understand requests, take actions across systems, and automate processes like record creation, approval routing, and team notifications. The approach is model-agnostic, meaning it can work with different AI providers and data sources.

Budibase suits teams building internal tools, CRUD applications, and workflow automation systems where the cost of custom development is prohibitive. It is particularly valuable for organizations that want to consolidate multiple disconnected tools into a single platform. The tool supports both hosted deployment through Budibase Cloud and self-hosted options including Docker and Kubernetes, giving teams flexibility in how they run it.

The project maintains active development with regular releases and uses code coverage tracking to monitor quality. Community engagement occurs through GitHub discussions for feature requests and support, alongside a formal contributor code of conduct. The platform is built in TypeScript and provides REST API capabilities alongside its visual builder interface.