opyrator VS libsa4py

Compare opyrator vs libsa4py and see what are their differences.

opyrator

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. (by ml-tooling)

libsa4py

LibSA4Py: Light-weight static analysis for extracting type hints and features (by saltudelft)
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opyrator libsa4py
8 1
3,011 10
0.4% -
0.0 2.5
4 days ago 8 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

opyrator

Posts with mentions or reviews of opyrator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-26.

libsa4py

Posts with mentions or reviews of libsa4py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-23.

What are some alternatives?

When comparing opyrator and libsa4py you can also consider the following projects:

streamlit-pydantic - 🪄 Auto-generate Streamlit UI from Pydantic Models and Dataclasses.

odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints

celery - Distributed Task Queue (development branch)

fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)

streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc

sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.

pydantic-to-typescript - CLI Tool for converting pydantic models into typescript definitions

component-template - Templates and example code for creating Streamlit Components

ActionServerless - Use GitHub Actions to create a Serverless service.

instant_api - Instantly create an HTTP API with automatic type conversions, JSON RPC, and a Swagger UI. Just add methods!

enforce - Python 3.5+ runtime type checking for integration testing and data validation

playground - A Streamlit application to play with machine learning models directly from the browser