Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. ClearML records 20,123 monthly visits with -60.9% growth and Contact for Pricing pricing.

Open AI infrastructure platform for managing GPU clusters and shipping models to production
| +7.67K (+3.2%) |
| -31.39K (-60.9%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇩🇪 Germany (27.4%) |
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| Direct Visits / mo | 107.84K | 6.67K |
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| User Rating | 4.6 | 4.3 |
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| Supported Platforms | Website | Website |
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Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.

Open AI infrastructure platform for managing GPU clusters and shipping models to production
Connect and govern GPU clusters across on-prem, cloud, and hybrid setups with multi-tenancy, RBAC, quota management, fractional GPUs, and priority-based scheduling.
A builder workbench with an integrated development environment plus experiment tracking, data integration, dashboards, pipelines, model repository, and CI/CD integration.
Deploy LLMs onto existing clusters with handled networking, authentication, and security, so teams can launch secure model APIs with minimal manual configuration.
Granular cost tracking by compute hours, storage, and API calls lets IT teams allocate spend back to the projects and departments that consume it.
Free / Open-sourceRun and build with open AI models locally or in the cloud
#1Free / Open-sourceOpen-source model and dataset hub with one-click online demos


AI data infrastructure for building production-grade models

Track, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceLabel any data. Evaluate any AI.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.

Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.

Free / Open-sourceAgent observability, evals and governance for AI platform teams
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
AI data infrastructure for building production-grade models
Track, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Focuses heavily on prompt management and versioning control, whereas Arize prioritizes end-to-end tracing and ML observability.
Offers comprehensive LLM evaluation and unit testing via DeepEval, but lacks Arize's deep production monitoring infrastructure.
Free / Open-sourceAgent observability, evals and governance for AI platform teams
SpecialistStronger focus on compliance enforcement and AI governance, but less specialized for deep developer tracing workflows.
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them