Ctrl K
ComunidadGuías…
GITHUB · ANALIZADO

orkyo-community

Orkyo Community Edition: self-hosted production scheduling platform for manufacturing teams, providing a single plan for machines, people, and tools to eliminate conflicts and idle capacity.

Ficha actualizada 22 sept 2026, 20:22 · upstream 22 sept 2026, 20:04 · release v0.26.0

Ver códigoProblemas y ayudaRepositorio ↗Sitio oficial
00

Qué es orkyo-community

Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.

Shop floors that coordinate machines, workstations, people, and tools often run on spreadsheets, email, and meetings — which turns into scheduling conflicts, idle capacity, and avoidable delays as production grows. Orkyo replaces this with a shared, visual plan: requests, assignments, conflicts, and utilisation displayed in one place.

Community Edition is the self-hosted, single-tenant build — one organisation, one database, full control of your data, no subscription fees. It complements ERP/MES/CMMS systems rather than replacing them. The model generalises to any resource a job has to book, making it applicable across manufacturing and other industries.

Prefer managed hosting? Orkyo Cloud handles updates, backups, and support at a monthly cost.

CASOS DE USO
  • Manufacturing: schedule machines, workstations, operators, and tools for production runs
  • Job shops: manage multiple product families with flexible resource allocation
  • High-mix manufacturing: handle variable demand with minimal setup time between jobs
  • Warehousing: allocate storage space to incoming goods based on capacity constraints
  • Logistics: schedule delivery vehicles and drivers across routes and time windows
PUNTOS DESTACADOS
  • Visual drag-and-drop layout editor that updates in real-time as assignments change
  • Built-in conflict detection engine that surfaces double-bookings, capability mismatches, and availability clashes before they occur
  • Multi-site support allows managing layouts and resources across multiple locations with a single dashboard
  • AI-powered assistant (via Anthropic API) provides natural language queries about schedules and suggests conflicts — changes are applied only after user confirmation
  • Full control over data: self-hosted PostgreSQL database, no vendor lock-in or subscription fees
PRECAUCIONES
  • The AI assistant requires an external API key (Anthropic), which adds a dependency and potential cost if used frequently
  • Conflict detection is heuristic-based and may not catch all edge cases in complex scheduling scenarios
  • No native support for time-sensitive or perishable goods — jobs can be delayed indefinitely without penalty
01

Perfil de infraestructura

Estimación inicial derivada del repositorio y de los servicios detectados.

CPU1 vCPUrecomendación inicial
MEMORIA1 GBRAM estimada
DISCO20 GBalmacenamiento base
COMPLEJIDADlownivel de operación
02

Despliegue detectado

Qué señales reales de instalación hemos encontrado.

Despliegue manual

Deploy with Docker Compose v2. Download the latest release bundle, extract it, copy .env.template to .env and configure database credentials (PostgreSQL password, Keycloak admin password). Start with `docker compose up -d` for a full stack including API, frontend, Keycloak, and MailHog. For development, use `./dev.sh infra`, `migrator`, `api`, and `frontend`. Production requires custom Docker Compose files in the `release/` directory. Full documentation available at release/docs/QUICKSTART.md.

—Dockerfile
—Compose
—One-click
03

Stack y dependencias

Componentes inferidos a partir de manifests, configuración y documentación.

FRAMEWORKS
ReactNode.js
SERVICIOS
PostgreSQL
BASES DE DATOS
PostgreSQL
PUERTOS
5174500280828026
05

Puede sustituir a

Relaciones detectadas por el análisis del repositorio y su categoría.

06

Experiencia real de la comunidad

Ayuda a contrastar la estimación automática con instalaciones reales.

Todavía no hay datos comunitarios para este proyecto.