Opyrator

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Opyrator turns Python functions into microservices with web API, interactive GUI, and more. It instantly deploys and scales machine learning code for production usage, supporting HTTP API or interactive UI access.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is opyrator?

Opyrator is an open-source tool designed to transform Python functions into production-ready microservices rapidly. It automatically generates web APIs based on FastAPI and interactive web UIs using Streamlit, leveraging open standards like OpenAPI, JSON Schema, and Python type hints. This tool simplifies the productization and sharing of Python code, allowing users to deploy and access services via HTTP API or an interactive UI. Opyrator also supports exporting services into portable, shareable executable files or Docker images, making deployment and scaling for production usage seamless. It aims to cut out the complexities typically associated with deploying machine learning models and other Python-based applications.

Best used for

Ideal for developers who need to quickly deploy Python functions as microservices, create interactive web UIs for their code, and package their applications into portable formats like Docker images. Especially valuable for productizing and sharing machine learning models or any Python-based logic with minimal setup.

Common actions

deploy machine learning models

create web APIs

build interactive UIs

package Python functions

share code

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Capabilities

Key features

Turn functions into microservices
Auto-generate HTTP API
Auto-generate Web UI
Export as executable file
Export as Docker image
Reuse pre-defined components
Instantly deploy/scale

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of Python functions can Opyrator turn into microservices?

Opyrator-compatible functions require an input parameter and return value based on Pydantic models, specified via type hints. This structure allows Opyrator to automatically generate the necessary API and UI components, ensuring consistency and ease of integration for your Python code.

How does Opyrator handle external dependencies for exported services?

When exporting to a zip file, Opyrator discovers external requirements from files like Pipfile, requirements.txt, or pyproject.toml, including them as instructions. For fully self-contained services with all requirements and even the Python interpreter, Docker export is the recommended option.

Can I customize the auto-generated web UI?

Yes, while the UI is auto-generated from your function's input and output schemas, you can influence most aspects by modifying these schemas. Additionally, Opyrator allows for the definition of custom UIs for both input and output, providing flexibility beyond the default generation.

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Open Source & Models Code Assistants No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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