
Cronicle
Distributed task scheduler and runner with web UI

Cronicle is a multi-server task scheduler and runner that provides a web-based UI for scheduling, executing and monitoring jobs. It supports scheduled, recurring and on-demand jobs across many worker servers, with real-time status, live logs and historical metrics.
Key Features
- Multi-server architecture with auto-discovery, primary/backup roles and automatic failover
- Visual date/time selector for single or recurring schedules with multi-timezone support
- Support for targeted runs (single server, groups, random selection) and chaining events
- Real-time job status, live log viewer and graphical performance metrics (CPU/memory, custom metrics)
- Plugin API: plugins are plain executables (any language) communicating via JSON
- External JSON REST API and API keys for remote triggering and automation
- Storage-by-filesystem (JSON) by default; optional shared storage/backends supported for clusters
- Simple install and Node.js/npm-based distribution with packaged CLI/control scripts
Use Cases
- Run and monitor automated system maintenance, backups and periodic administration tasks
- Orchestrate multi-step data processing workflows across multiple servers with chained events
- Provide a lightweight replacement for cron with centralized logs, retries and real-time monitoring
Limitations and Considerations
- Requires a POSIX environment (Linux/macOS); Windows is not a supported platform
- Designed to run on Node.js Active LTS releases; may not work on current/non-LTS Node channels
- Multi-primary clusters require shared storage (e.g., shared filesystem or supported storage backend) for reliable failover
Cronicle is a pragmatic, open-source scheduler focused on operability and extensibility. It emphasizes simple plugin integration, real-time visibility and predictable multi-server behavior for production task orchestration.
Categories:
Tags:
Tech Stack:
Similar Services

Apache Airflow
Platform to author, schedule, and monitor workflows as code
Apache Airflow is a workflow orchestration platform to define, schedule, and monitor data pipelines and other batch jobs using Python-defined DAGs.

Portainer
Web UI and API for managing Docker and Kubernetes environments
Lightweight web-based platform to manage Docker, Swarm and Kubernetes resources with a GUI and API, including access control and multi-environment operations.


Dokploy
Self-hosted PaaS to deploy and manage containerized apps and databases.
Open-source self-hostable PaaS for deploying containerized applications and managing databases with Docker Compose, Traefik, monitoring, and backups.

Kestra
Open-source, event-driven workflow orchestration and scheduling platform
Declarative, API-first orchestration platform for scheduled and event-driven workflows with a plugin ecosystem, UI editor, CI/CD and Terraform integration.

XPipe
Connection hub and remote file manager for managing server infrastructure
Desktop application that centralizes SSH, containers, VMs, Kubernetes and remote file management; integrates local CLI tools and syncs connection data via git.

Coder
Self-hosted cloud development environments for teams and agents
Open-source platform to provision secure, self-hosted developer workspaces (VMs, containers, Kubernetes) defined in Terraform, with IDE integrations and AI agent support.





