mlrun VS loopquest

Compare mlrun vs loopquest 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)
Mlops Python Data Science Machine Learning data-engineering experiment-tracking model-serving mlops-workflow Workflow Kubernetes
Source Code
mlrun.org
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loopquest

A Production Tool for Embodied AI (by LoopMind-AI)
decision-making-algorithm foundation-model Gym gym-environment Mlops mlops-workflow reinforcement-learning rlops Simulation reinforcement-learning-ops Machine Learning offline-reinforcement-learning embodied-agent embodied-ai
Source Code
loopquest.ai
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mlrun loopquest
3 1
1,294 26
6.0% -
9.9 8.0
5 days ago 10 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.

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.

loopquest

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

What are some alternatives?

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

feast - Feature Store for Machine Learning

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

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

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

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

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

SmartSim - SmartSim Infrastructure Library.

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.

phidata - Build AI Assistants with memory, knowledge and tools.

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

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

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

mlrun vs feast loopquest vs Gym-Trading-Env mlrun vs dagster-example-pipeline loopquest vs AgileRL mlrun vs flyte loopquest vs pyreason-gym mlrun vs SmartSim loopquest vs Media-Recommendation-Engine mlrun vs phidata loopquest vs CORL mlrun vs mosec loopquest vs rex-gym