Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternativesMLRun
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
About MLRun
MLRun is an open-source platform for building and managing continuous machine learning and generative AI applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
It covers data management, pipeline development, model deployment, and monitoring, and can be used for a full workflow or for specific tasks alongside existing deployments.
Key features
- Automates delivery of production data, ML pipelines, and online applications
- Integrates with existing development and CI/CD environments
- Processes batch and real-time data at scale
- Tracks data lineage and versioning for structured and unstructured data
- Builds automated pipelines for data collection, training, and evaluation
- Deploys LLMs as auto-scaling serverless functions using Nuclio
Best for: Data, ML, software, and DevOps/MLOps teams building and managing continuous ML and generative AI applications.
Good for
- Open-source codebase available via GitHub
- Works with local or cloud IDEs of the user's choice
- Can handle full workflows or integrate specific tasks with existing deployments
MLRun at a glance
- Website
- github.com/mlrun/mlrun
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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