Cloud Inference

Opyrator

Turns ML code into microservices with web API and interactive GUI.

Status
UnmaintainedNo commits in 1938 days.
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Opyrator transforms your machine learning models into scalable, deployable microservices with a web API and an interactive graphical user interface. This tool simplifies the deployment process for developers and data scientists looking to operationalize their ML projects efficiently.

Opyrator stands out by automating the creation of microservices from ML code, providing both a web API and an interactive GUI for easy deployment and testing.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to quickly deploy ML models with minimal setup

  • Data scientists looking for an easy way to expose their models via APIs

  • Teams that want a streamlined process from model development to deployment

Look elsewhere if

  • Projects requiring real-time streaming capabilities (Opyrator is batch-oriented)

  • Applications needing cloud-hosted services without self-management overhead

Known weaknesses

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

  1. 01

    Small community and slow response to issues

    GitHub repository has few contributors and open issues take weeks to be addressed

What it does well

  • Automates the creation of microservices from ML code

  • Provides a web API for easy integration

  • Includes an interactive GUI for model testing and deployment

  • Simplifies the deployment process without requiring extensive DevOps knowledge

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.

Performance benchmarks

How Fast Is It?

Set up Opyrator

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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