← all projects
data-docsactive

MediaForge

Local-first batch pipeline for processing media assets

what it proves

Proves pipeline and batch-orchestration design: composable FFmpeg stages driven by declarative job configs, containerised and fully offline.

Containerised pipeline that transcodes, normalises and packages local media libraries in bulk, built from composable FFmpeg stages driven by declarative job configs. It runs entirely offline, demonstrating pipeline design and batch orchestration rather than downloading.

proof points

skills demonstrated

Pipeline designBatch orchestrationPythonDockerCI discipline

tech stack

pythonffmpegdocker

engineering hygiene

  • readme
  • docs
  • tests
  • ci
  • docker

Known gap: docker. Next step: make the containerisation visible: a Dockerfile at the repo root so the Docker check passes.

evidence

LinkedIn

MediaForge launch

Announces the launch of MediaForge, a local-first TypeScript CLI processing pipeline featuring automated validation, dry-run dependency graphs, and automated testing hooks.

view on linkedin (external)

the code

Public repository. Read it directly: github.com/qhedroid/mediaforge-cuebot