Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons.
- Home
- Analytics & Data
- Model Monitoring Software
Best Model Monitoring Software 2026
Facts read 29 Sep 2026 – 21 Oct 2026
Model monitoring software is for keeping watch on models and the signals associated with their operation. Compare drift detection, bias monitoring, data quality monitoring, and performance monitoring to see which areas are covered in the listed capabilities. Deployment options and monitored model limits add operational considerations, while free-plan availability and paid-from pricing provide cost context. The entries include Arize AX, W&B Weave, and Langfuse, as well as Opik and Helicone. Consider which kinds of changes or issues matter for the models you support, and weigh those needs against the monitoring and deployment details provided.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 W&B Weave | Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons. | 6.2 | $60 a month | Free plan | iPhone & iPad, Web, Windows, Mac | 20 Oct 2026 |
| 02 Evidently AI | Evidently AI suits teams evaluating or monitoring language models, RAG applications, agents, or predictive ML workflows. | 6.1 | $80 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 03 Opik | Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior. | 6.1 | $19 a month | Free plan | Web, Windows, Mac, Linux | 21 Oct 2026 |
| 04 NannyML | NannyML suits teams monitoring deployed machine-learning models, especially when ground truth is delayed or absent. | 6.0 | $99 a month | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 05 Deepchecks | It suits teams evaluating and monitoring LLM applications in production, especially those needing configurable deployment options or integrations. | 5.9 | Free plan | Free plan | Web, Mac, Linux, API | 15 Oct 2026 |
| 06 Langfuse | Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. | 5.7 | $29 a month | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 07 LangWatch | LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows. | 5.7 | €29 a month | Free plan | Web, Mac, Linux, API | 21 Oct 2026 |
| 08 OpenLIT | OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs. | 5.5 | Free plan | Free plan | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 09 SUPERWISE | SUPERWISE suits engineers and AI teams building language-model applications and agents. | 5.4 | $9 a month | Free trial | Web, Windows, Mac, Linux | 14 Oct 2026 |
| 10 LangSmith | LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring. | 5.3 | $39 usage-based | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
Evidently AI
Evidently AI suits teams evaluating or monitoring language models, RAG applications, agents, or predictive ML workflows.
WebWindowsMac+3Opik
Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior.
WebWindowsMac+3NannyML
NannyML suits teams monitoring deployed machine-learning models, especially when ground truth is delayed or absent.
WebLinuxAPI+1Deepchecks
It suits teams evaluating and monitoring LLM applications in production, especially those needing configurable deployment options or integrations.
WebMacLinux+2Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.
LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows.
OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs.
SUPERWISE suits engineers and AI teams building language-model applications and agents.
LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring.
It is designed for cross-functional AI teams, including product managers who want to define and analyze evaluations without code and developers who use SDKs, a CLI, or…
Braintrust is intended for teams running AI agents in production, from early-stage projects to enterprise deployments.
It suits teams building or operating AI applications that need provider routing, request tracing, or cost visibility.
Qualdo-MQX suits teams monitoring deployed machine-learning models across supported cloud ecosystems.
Fiddler AI is aimed at enterprises managing AI agents and predictive applications at scale, including teams that need monitoring, guardrails, and audit evidence.
Laminar suits teams building AI agents that need to trace model and tool activity, investigate runs, or evaluate changes against datasets.
Memoturn suits teams building LLM applications that need to inspect production traffic, monitor spending, evaluate quality, and manage prompts.
Arthur suits enterprise teams that need to find and monitor AI agents, apply governance policies, or manage agent deployments alongside sensitive workloads.
Arize AX suits teams working to observe, evaluate, and improve AI agents in production.
Galileo is designed for engineers, product managers, and subject matter experts building AI applications.
It suits AI platform teams, AI engineers, domain experts, and risk and governance teams that need production agent visibility.
Phoenix suits teams that need to inspect AI application traces and compare evaluation results across versions.