breejs/bree

Bree is a Node.js and JavaScript job task scheduler with worker threads, cron, Date, and human syntax. Built for @ladjs, @forwardemail, @spamscanner, @cabinjs.

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breejs/bree has 3k+ stars and 90+ forks on GitHub, is written in JavaScript, and was last pushed on Feb 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 10 minutes ago
Added to GitGenius on September 21st, 2026
Created on July 8th, 2020
Open Issues & Pull Requests: 29 (+0)
GitHub issues: Enabled
Number of forks: 90
Total Stargazers: 3,296 (+0)
Total Subscribers: 10 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 91.2 days
Mean response time: 139.3 days
90th percentile: 369.9 days
Tracked items: 7

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,049 days
Stale 30+ days: 5
Stale 90+ days: 5

Recent activity

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

Top labels

  • bug (5)
  • enhancement (2)

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Detailed Description

Bree is a Node.js job task scheduler that executes jobs using worker threads with support for cron expressions, Date objects, and human-readable syntax.

Bree solves the problem of scheduling and executing background jobs in Node.js applications by leveraging worker threads for true parallelism and isolation. It accepts job definitions using multiple scheduling formats—cron syntax for recurring tasks, JavaScript Date objects for one-time execution, and human-readable time expressions—allowing developers to choose the notation that fits their use case. Jobs run in sandboxed worker threads rather than the main process, preventing long-running or resource-intensive tasks from blocking application logic.

The tool suits projects that need reliable background job execution with flexible scheduling options and process isolation. It works well for applications already built on Node.js that want to avoid external job queue services. Developers should choose Bree when they need straightforward job scheduling without the complexity of distributed queue systems, though the README does not compare it directly to alternative schedulers.

The project maintains active development with regular updates to dependencies and code. The maintainers respond to issues and pull requests, indicating ongoing engagement with the user base. The codebase receives periodic refinements and improvements beyond simple maintenance.