mlrun VS SmartSim

Compare mlrun vs SmartSim 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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SmartSim

SmartSim Infrastructure Library. (by CrayLabs)
HPC Machine Learning Simulation Workflow
Source Code
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mlrun SmartSim
3 2
1,287 212
5.5% 4.3%
9.9 8.9
2 days ago about 9 hours ago
Python Python
Apache License 2.0 BSD 2-clause "Simplified" 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.

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.

SmartSim

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

What are some alternatives?

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

feast - Feature Store for Machine Learning

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

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

jug - Parallel programming with Python

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

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

phidata - Build AI Assistants with function calling and connect LLMs to external tools.

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

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.

mlrun vs feast SmartSim vs covalent mlrun vs dagster-example-pipeline SmartSim vs jug mlrun vs flyte SmartSim vs ck mlrun vs phidata SmartSim vs polyaxon mlrun vs mosec SmartSim vs flyte mlrun vs ploomber mlrun vs Prefect