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MLRun

Free#16 of 38 in ML Experiment Tracking SoftwareMLOps Platforms Model Registry Software Experiment Tracking

MLRun: A broad open-source MLOps platform for teams that need more than experiment tracking. Ranked #16 of 38 in ML Experiment Tracking Software by our editors (7.3/10); pricing: Open source · 14-day trial; best for open-source teams needing full MLOps breadth.

7.3/10Editor score

Visit MLRun

MLRun7.3 Visit MLRun

At a glance

Editor score
7.3 / 10
Pricing
Open source · 14-day trial
Best for
Open-source teams needing full MLOps breadth
Paid from
Free
Facts checked
21 Sep 2026

Where it wins
- Tracks metrics, plots, datasets, metadata, and parameters
- Combines registries, orchestration, serving, lineage, and monitoring
- Runs across Kubernetes, cloud clusters, notebooks, IDEs, and APIs
Where it doesn't
- Broader than teams seeking dedicated experiment tracking alone
- Production capabilities may require Kubernetes or self-hosted operations
- Managed-service access is offered through a 14-day trial

Our verdict on MLRun

MLRun is an open-source AI orchestration platform for data scientists, data engineers, and ML engineers. It covers experiment tracking, model training, registration and versioning, workflow orchestration, serving, monitoring, feature management, and CI/CD automation. Experiment records can include metrics, plots, datasets, metadata, and parameters, while the model registry stores artifacts, metadata, versions, and deployment support. Teams can deploy it on Kubernetes or AWS clusters, use self-hosted environments, or connect with Iguazio’s managed service.

Its ecosystem fit is a central strength. MLRun integrates with Kubernetes, AWS EKS, Azure AKS, GKE, Spark, Dask, Horovod/MPI, Kafka, Jupyter, and VS Code. For delivery workflows, it connects with GitHub Actions, GitLab CI/CD, Jenkins, and Kubeflow Pipelines, while SageMaker and AzureML are also supported. The platform includes batch and multi-stage orchestration, real-time serverless model-serving pipelines, data lineage and versioning, and a feature store for collecting, transforming, cataloging, serving, and monitoring features. Elastic resource allocation, autoscaling, and GPU provisioning extend its scope to production workloads.

MLRun suits teams that want experiment tracking within a wider MLOps system, particularly those comfortable with open-source deployment and infrastructure management. Monitoring can cover models, data, applications, and resources, with alerts and retraining triggers. The 14-day trial applies to Iguazio’s managed service, while the Community Edition is open source and self-hostable. Teams seeking a focused tracking tool with a narrower operational footprint may prefer a dedicated experiment-tracking product instead; MLRun’s value is its breadth across the machine-learning lifecycle.

Your product? Our editors can test MLRun in depth and publish a review, labelled as paid · from $149/mo →

MLRun pricing

Plans Open source · 14-day trialFree Free to use — no paid tier required for the core job.

See plans on mlrun.org

MLRun fact sheet

Free plan	Not verified
Paid from	Free
Run comparison	Not verified
Artifact tracking	Not verified
Dataset versioning	Not verified
Model registry	Yes
Deployment options	Not verified
API and SDK access	Not verified
Free trial	14 days
Deployment	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux
Support	Email, Community, Docs
Built for	Mid-market, Enterprise (editorial estimate)
Integrations	15 integrations: Kubernetes, AWS EKS, Azure AKS, GKE, Spark, Dask … See all →
Pricing	Open source · 14-day trial
Website	mlrun.org
Facts checked	21 Sep 2026

MLRun integrations

MLRun lists 15 integrations on its own site.

Kubernetes
AWS EKS
Azure AKS
GKE
Spark
Dask
Horovod/MPI
Kafka
Jupyter
VS Code
GitHub Actions
GitLab CI/CD
Kubeflow Pipelines
SageMaker
AzureML

See all MLRun integrations →

Alternatives to MLRun

See all MLRun alternatives →

Also Ranked In

MLRun is ranked in 4 of our directories.

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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used MLRun for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

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Featured on iTechGuides

MLRun is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update