Tools

MLOps & experiment tracking

14 tools compared: how each is priced, where it runs, and what to consider instead.

Latest Data Science & ML Platforms coverage All categories
Tool Pricing model Free tier Open source
Arize AI Hosted AI observability platform that monitors deployed ML models and LLM applications for drift, quality, and performance issues. Free tier + paid Yes No
BentoML Open-source framework for packaging and serving ML models as production inference APIs, with a paid managed cloud option. Open source + paid Yes Yes
ClearML Open-source experiment tracker that also bundles pipeline orchestration, dataset versioning, and model deployment. Free tier + paid Yes Yes
Comet Hosted experiment-tracking platform that also offers a separate LLM observability product (Opik). Free tier + paid Yes No
DVC Open-source, Git-like version control for datasets, models, and ML pipelines rather than a tracker or monitoring tool. Open source + paid Yes Yes
Evidently AI Open-source and cloud model-monitoring tool that checks deployed ML/LLM systems for drift, data quality, and performance issues. Free tier + paid Yes Yes
Fiddler AI Hosted AI observability and guardrails platform for monitoring deployed ML models and LLM/agent applications. Usage-based Yes No
Kubeflow Open-source, Kubernetes-native toolkit for orchestrating ML pipelines, notebooks, and training jobs. Open source + paid Yes Yes
Metaflow Open-source Python framework for orchestrating data-science and ML workflows from laptop to production. Open source + paid Yes Yes
MLflow Open-source experiment tracker and model lifecycle toolkit, governed by the Linux Foundation. Open source + paid Yes Yes
neptune.ai Experiment tracker built for high-throughput logging of large-scale and foundation-model training runs. Free tier + paid Yes No
Seldon Kubernetes-native model deployment and serving platform for putting trained ML models into production. Quote only No No
Weights & Biases Hosted experiment tracker and AI evaluation platform for logging training runs, metrics, and model lineage. Free tier + paid Yes No
WhyLabs Formerly a hosted AI-observability platform for monitoring model and data drift; the company has since shut down and open-sourced its stack. Open source + paid Yes Yes

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