Instead of MLRun
MLRun alternatives
MLRun coordinates machine-learning and generative-AI applications across their lifecycles. It automates data preparation, model tuning, customization, validation and optimization over elastic resources, then supports serving, experiment tracking, data versioning and pipeline orchestration. Its feature store handles collection, transformation, storage, cataloging, serving and monitoring of data features. Teams can deploy across multi-cloud, hybrid and on-premises environments, including Kubernetes, AWS, Azure and Iguazio’s managed service. The open-source plan is free with community support, while managed MLRun adds LDAP integration, monitoring, log management and 24/7 enterprise support.
- 1
Comet
Free plan APILinuxMac+3LLM tracing, evaluation and MLOps tracking — Comet adds Opik tracing, evaluation suites and agent observability alongside experiment tracking, while MLRun emphasizes lifecycle orchestration and feature management.
- 2
Weights & Biases
Free plan AndroidAPIiPhone+5AI experiments, registries and application monitoring — Weights & Biases combines experiment visualization, dataset and model governance, and Weave application tracing, rather than MLRun’s feature-store automation.
- 3
ClearML
Free plan APILinuxMac+3GPU infrastructure and integrated AI development — ClearML adds GPU resource control, multi-tenant GPU-as-a-Service and a GenAI deployment layer, while MLRun centers on lifecycle automation and feature serving.
- 4
TensorBoard
Free plan APILinuxMac+3TensorFlow metrics, graphs and profiling — TensorBoard focuses on visualizing and profiling TensorFlow experiments, whereas MLRun provides orchestration, deployment, feature management and model serving.
- 5
Trackio
Free plan APILinuxMac+3Lightweight Python experiment logging — Trackio is a lightweight logging library with local or Hugging Face storage and dashboard APIs, while MLRun offers broader orchestration and deployment capabilities.
- 6
ZenML
Free plan APILinuxMac+3Portable Python pipelines and artifact versioning — ZenML lets Python pipelines move among Kubernetes, Vertex AI, SageMaker, AzureML or a laptop, with cached and re-executable steps.
- 7
GitLab Package Registry
Free plan APILinuxSelf-hosted+1Publishing and sharing software packages — GitLab Package Registry publishes and shares dependency packages across formats, while MLRun manages machine-learning workflows, models and features.
Free plan · paid from $29/user/mo (annual) · 30-day trial Visit site - 8
Metaflow
Free plan Open source APILinuxMac+2 - 9
DagsHub
Free plan APILinuxMac+3 - 10
Hopsworks AI Lakehouse
Free plan APILinuxSelf-hosted+1 - 11
Lamin
Free plan APISelf-hostedWeb - 12
DVCLive
Free plan API - 13
InstantML
Free plan APIWeb - 14
LabML
Free plan AndroidAPIiPhone+3 - 15
MLflow GenAI Evaluation
Free plan APISelf-hostedWeb - 16
Rubicon-ML
Free plan APILinuxSelf-hosted+1 - 17
ModelDB
Free plan APISelf-hostedWeb - 18
mlop
Free plan Self-hostedWeb - 19
Polyaxon
Free plan APISelf-hostedWeb - 20
Kubeflow Notebooks
Free plan Self-hostedWeb - 21
OpenML
Free plan APIWeb - 22
LUML Flow
Free plan - 23
MLtraq
Free plan Linux - 24
Sacred
Free plan LinuxSelf-hosted - 25
Midcore Tracks
Free trial LinuxMacWeb+1
An alternative may suit you better if you need focused LLM observability, experiment visualization, portable pipelines, TensorFlow diagnostics or package publishing instead of MLRun’s broad orchestration stack. Compare whether you need feature management, managed compute, model serving, registries, artifact versioning, governance or CI/CD integration. Deployment and platform coverage also matter: MLRun supports API, Linux, macOS, self-hosted, web and Windows. The options below range from focused tracking libraries and visualization tools to infrastructure platforms and registries, with different pricing and operating models.
← Back to MLRun The whole ml experiment tracking software list