ml-tooling/opyrator

Health v2 · maintenance only

Adoption not part of the score

3132 stars · 167 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Opyrator is a Python library that turns plain Python functions into production-ready microservices with an auto-generated HTTP API (FastAPI) and interactive web UI (Streamlit). Services can be exported as portable executable files or Docker images and are built on OpenAPI, JSON Schema, and Python type hints.

Use cases

• turn python functions into rest apis
• deploy machine learning models as microservices
• auto-generate a web ui for a python function
• package python code as a docker image for serving
• quickly prototype ml model demos with an api and gui
• share python functions as self-contained executable services

When to choose

• you want to expose Python functions as HTTP APIs with minimal boilerplate
• you need a quick interactive UI for demos of ML models or functions
• you want portable, shareable service artifacts (files or Docker images) built on OpenAPI standards

When to avoid

• you need a production-hardened, actively maintained framework - it is explicitly an alpha for experimental use
• you require fine-grained control over API design, auth, or complex multi-endpoint services
• your workload doesn't fit the single-function input/output model

Facets

library · maturity experimental

api-framework web-framework deployment microservices ui-components machine-learning web-development developer-tools apis python self-hosted fastapi streamlit pydantic faas serverless type-hints openapi function-as-a-service docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ml-tooling/opyrator")