Media-Recommendation-Engine VS opyrator

Compare Media-Recommendation-Engine vs opyrator and see what are their differences.

Media-Recommendation-Engine

A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance. (by Nneji123)
API Application Docker docker-compose Fastapi Frontend Machine Learning Mlops mlops-workflow Pandas Python recommendation-engine Streamlit
Source Code
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opyrator

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. (by ml-tooling)
Fastapi Streamlit Pydantic Python Microservices Serverless Faas Functions python-functions Machine Learning Deployment type-hints
Source Code
opyrator-playground.mltooling.org
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Media-Recommendation-Engine opyrator
1 8
12 3,012
- 0.4%
0.0 0.0
about 1 year ago 13 days ago
Python Python
MIT License MIT License
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.

Media-Recommendation-Engine

Posts with mentions or reviews of Media-Recommendation-Engine. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Media-Recommendation-Engine and opyrator you can also consider the following projects:

mlrun - MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

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

mnist-mlops-learning - In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

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

reco-model-monitoring - fastapi + prometheus + grafana 💣

celery - Distributed Task Queue (development branch)

api-gateway - 🚪 Kong API Gateway

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)

Jokes_api - JokesAPI is a REST API that serves two part jokes.

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

energy-forecasting - 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

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

Media-Recommendation-Engine vs mlrun opyrator vs streamlit-pydantic Media-Recommendation-Engine vs mnist-mlops-learning opyrator vs odmantic Media-Recommendation-Engine vs reco-model-monitoring opyrator vs celery Media-Recommendation-Engine vs api-gateway opyrator vs fastapi-redis-cache Media-Recommendation-Engine vs Jokes_api opyrator vs streamlit-webrtc-example Media-Recommendation-Engine vs energy-forecasting opyrator vs pydantic-to-typescript