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flohoss/gocron

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A task scheduler built with Go and Vue.js that allows users to specify recurring jobs via a simple YAML configuration file. The scheduler reads job definitions,

A task scheduler built with Go and Vue.js that allows users to specify recurring jobs via a simple YAML configuration file. The scheduler reads job definitions, executes commands at specified times using cron expressions, and passes in environment variables for each job.

543 18GoPush 3d agoListed 5d ago2 open issuesMIT
backupbackupscrondockergolangscheduleschedulertask
  • Go69.8%
  • Vue17.3%
  • TypeScript5.6%
  • JavaScript3.1%
  • Dockerfile2.1%
  • CSS1.0%
  • HTML0.8%
  • Shell0.3%
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1 Review

gocron is a strong example of a small infrastructure tool with practical deployment in mind. The idea is simple: define recurring jobs in YAML, run them on cron schedules, pass job-specific environment variables, and manage the system through a Go backend plus Vue UI. The README does a good job showing the intended usage with Docker and Compose, the default config path, --config overrides, SQLite storage behavior, GC_ environment overrides, screenshots in dark/light mode, API docs screenshots, downloadable Linux binaries, and a development workflow with Go tests plus e2e tests. The Go dependencies also make sense for this shape of app: Echo, Huma for API ergonomics/docs, robfig/cron for scheduling, Viper for configuration, SQLite, SSE, validation, and filesystem watching. Simulating the product, I’d expect to mount a config folder, start the container on port 8156, then inspect scheduled jobs and output through the web UI. That is a clean operator experience. The improvement area is around safety and observability. Because this executes shell commands on a schedule, the README should be explicit about trust boundaries, permissions, working directories, log retention, command timeouts, and failure notification behavior. I’d also like to see a sample config.yaml excerpt directly in the README, not only linked, because config-driven tools live or die by how quickly a user can adapt the first example.