Jokes_api VS Media-Recommendation-Engine

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

Jokes_api

JokesAPI is a REST API that serves two part jokes. (by DanNduati)
API Docker docker-compose Fastapi Python3
Source Code
Suggest alternative
Edit details

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
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
Jokes_api Media-Recommendation-Engine
1 1
4 12
- -
10.0 0.0
over 1 year ago about 1 year 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.

Jokes_api

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

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.

What are some alternatives?

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

api-gateway - 🚪 Kong API Gateway

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.

fastapi-microservice-template - A template for a FastAPI based Serverless Framework microservice running on AWS Lambda

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

open-record-pool - A self-hosted DJ record-pool

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

Fast-Api-Grafana-Starter - Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . Grafana for monitoring using Prometheus

fastapi-realworld-example-app - Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI

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

Jokes_api vs api-gateway Media-Recommendation-Engine vs mlrun Jokes_api vs fastapi-microservice-template Media-Recommendation-Engine vs mnist-mlops-learning Jokes_api vs open-record-pool Media-Recommendation-Engine vs reco-model-monitoring Jokes_api vs Fast-Api-Grafana-Starter Media-Recommendation-Engine vs api-gateway Jokes_api vs fastapi-realworld-example-app Media-Recommendation-Engine vs energy-forecasting