Orchest

What it is

Orchest is a visual pipeline editor and workflow orchestrator that provides an easy-to-use UI for managing machine learning workflows, built on top of Kubernetes. It simplifies the process of creating, deploying, and monitoring ML pipelines without deep knowledge of Kubernetes.

Orchest stands out by providing a visual interface for managing ML workflows on Kubernetes, making it accessible to users without deep Kubernetes expertise while still leveraging the power of Kubernetes for orchestration.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support beyond Python

   Primary development and community support focus on Python, with minimal support for other languages

2. 02

   Complex setup requires Kubernetes knowledge

   Documentation assumes familiarity with Kubernetes concepts; non-trivial to set up without prior experience

What it does well

• Visual pipeline editor for easy workflow creation and management.

• Kubernetes-based orchestration for scalable deployment.

• User-friendly interface for managing machine learning workflows.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.