SmartSim VS mlrun

Compare SmartSim 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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SmartSim mlrun
2 3
213 1,308
1.9% 5.2%
9.0 9.9
about 12 hours ago 2 days ago
Python Python
BSD 2-clause "Simplified" 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.

SmartSim

Posts with mentions or reviews of SmartSim. 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 SmartSim and mlrun you can also consider the following projects:

covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

feast - The Open Source Feature Store for Machine Learning

jug - Parallel programming with Python

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

ck - Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware

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

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

phidata - Memory, knowledge and tools for LLMs

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

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Prefect - The easiest way to build, run, and monitor data pipelines at scale.