Opyrator
Opyrator turns machine learning code into microservices with a web API and interactive interface.
About Opyrator
Opyrator is an open-source tool that turns Python functions into microservices. From a single compatible function it generates an HTTP API based on FastAPI and an interactive web interface based on Streamlit, relying on open standards such as OpenAPI, JSON Schema, Python type hints and Pydantic models. Services can be kept local as running servers or exported as self-contained executable files or Docker images. The repository labels the project an alpha version and states it is suggested only for experimental usage.
Key features
- Auto-generates an HTTP API based on FastAPI from a Python function
- Auto-generates an interactive web UI based on Streamlit
- Exports services as self-contained executable files or Docker images
- Reuses pre-defined components and combines them with existing Opyrators
- Compatible functions use Pydantic input and output models via type hints
Best for: Python and machine learning developers who want to expose a single function as an API or interactive interface for sharing and experimentation.
Good for
- Open source with source code, documentation and runnable examples in the repository
- Builds on open standards including OpenAPI, JSON Schema and Python type hints
- One compatible function can be served as both an API and a web UI
Watch out for
- Marked as an alpha version and suggested only for experimental usage
- Functions must take an input parameter and return a value based on Pydantic models
- Requires Python 3.6 or newer
Opyrator at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Opyrator FAQ
What do I need to run Opyrator?
Python 3.6 or newer, with the package installed via pip install opyrator.
What makes a Python function Opyrator-compatible?
It must have an input parameter and a return value based on Pydantic models, specified through type hints.
How are the API and UI started?
From the command line, use opyrator launch-ui module:function for the web UI or opyrator launch-api module:function for the HTTP API; the output shows the local address where the service is served.
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