prophet Docker & Self-Hosted Deployment

GitHub

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

20,439 stars Python Python 26 files ยท ~43,787 tokens #forecasting#python#r
RAW Compose
1. Pull Image (DOCKERHUB) docker pull facebook/prophet
2. Docker Run (1-Click Launch) docker run -d --name prophet --restart always facebook/prophet
3. Podman Run podman run -d --name prophet --restart always facebook/prophet
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/facebook/prophet:latest
5. ORAS Pull (OCI Artifact) oras pull facebook/prophet
6. Compose Deployment docker compose up -d
docker-compose.yml
Download .yml
version: "3"
services:
  package:
    image: facebook/prophet
    build:
      context: .
      dockerfile: Dockerfile

    volumes:
      - .:/usr/src/app