loopquest VS mlrun

Compare loopquest vs mlrun and see what are their differences.

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. (by mlrun)
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loopquest mlrun
1 3
27 1,308
- 5.2%
8.0 9.9
7 days ago 2 days ago
Python Python
Apache License 2.0 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.

loopquest

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

mlrun

Posts with mentions or reviews of mlrun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.

What are some alternatives?

When comparing loopquest and mlrun you can also consider the following projects:

Gym-Trading-Env - A simple, easy, customizable Gymnasium environment for trading.

feast - The Open Source Feature Store for Machine Learning

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

pyreason-gym - An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

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.

SmartSim - SmartSim Infrastructure Library.

CORL - High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

phidata - Memory, knowledge and tools for LLMs

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine