The Best Machine Learning Model Monitoring Software in 2026
We researched machine learning model monitoring software from official websites, including pricing pages, plan tables, and product documentation. Rankings consider each product’s core monitoring job, value for money, and verified features for tracking model performance, drift, bias, data quality, and production behavior.
Our top picks
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Top ranked
Deepchecks#1 of 209.3/10Deepchecks brings open-source validation and hosted monitoring into one ML quality workflow.
Free plan
-
Runner-up
SUPERWISE#2 of 209.1/10Broad ML monitoring and governance from $10 per month, with production features on Business.
30-day trial
-
Top-ranked free plan
Arthur#3 of 208.9/10A flexible monitoring platform for teams that need fairness, drift, and explainability controls.
Free plan
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.
The full ranking 20 tools, best first
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Best forTeams needing comprehensive open-source checks
Deepchecks brings open-source validation and hosted monitoring into one ML quality workflow.
- Data quality checks
- Bias monitoring
- Model performance metrics
9.3/10★★★★★Visit Deepchecks -
Best forTeams wanting broad monitoring at a low price
Broad ML monitoring and governance from $10 per month, with production features on Business.
- Data quality checks
- Bias monitoring
- Model performance metrics
9.1/10★★★★★Visit SUPERWISE -
Best forTeams prioritizing fairness and explainability
A flexible monitoring platform for teams that need fairness, drift, and explainability controls.
- Bias monitoring
- Model performance metrics
- Drift monitoring
8.9/10★★★★☆Visit Arthur -
Best forMonitoring performance without ground-truth labels
A focused monitor for drift, data quality, and performance estimation without labels.
- Data quality checks
- Model performance metrics
- Drift monitoring
Free plan · 30-day trial Our NannyML verdict → Visit NannyMLFor vendors Sponsor this spot · #4 · $69/mo →8.8/10★★★★☆Visit NannyML -
Best forAWS teams monitoring production SageMaker models
A focused SageMaker monitor with broad checks, but limited availability for new customers.
- Data quality checks
- Bias monitoring
- Model performance metrics
8.5/10★★★★☆Visit AWS -
Best forEnterprise governance and automated remediation
A broad ModelOps platform for enterprise model governance, monitoring, and automated remediation.
- Data quality checks
- Bias monitoring
- Model performance metrics
8.4/10★★★★☆Visit ModelOp -
Best forMature teams needing hybrid MLOps monitoring
A broad monitoring suite for mature teams running models across hybrid environments.
- Data quality checks
- Bias monitoring
- Model performance metrics
8.3/10★★★★☆Visit Domino -
Best forTeams needing hosted LLM observability breadth
Broad hosted observability for teams monitoring LLM applications, agents, and retrieval.
8.1/10★★★★☆Visit Arize AX -
Best forCost-conscious teams building LLM observability
A cost-conscious choice for tracing, evaluating, and monitoring LLM applications.
8.0/10★★★★☆Visit Opik -
Best forDevelopers wanting free open-source LLM monitoring
A free, open-source toolkit for tracing, evaluating, and improving LLM applications.
7.9/10★★★★☆Visit Arize Phoenix -
Best forTeams wanting free open-source LLM evaluation
A free, open-source toolkit for evaluating and monitoring LLM applications.
7.8/10★★★★☆Visit Evidently AI -
Best forTeams wanting a self-hosted open-source monitor
A self-hosted monitor covering data quality, drift, model performance, and LLM tracing.
- Data quality checks
- Model performance metrics
- Drift monitoring
7.7/10★★★★☆Visit Radicalbit -
Best forEngineers building a self-hosted monitoring stack
A self-hosted monitoring stack for drift, performance metrics, dashboards, and alerts.
- Model performance metrics
- Drift monitoring
7.6/10★★★★☆Visit Pulsar -
Best forTeams needing open-source drift and outlier detection
A self-hosted library for detecting drift, outliers, and adversarial examples in data.
- Drift monitoring
7.5/10★★★★☆Visit Seldon -
Best forMathWorks users needing lifecycle oversight
A focused monitoring layer for financial institutions using the Modelscape ecosystem.
- Bias monitoring
- Model performance metrics
- Drift monitoring
7.4/10★★★★☆Visit MathWorks -
Best forTeams monitoring LLM and agent systems
A broad monitoring platform for teams operating LLM and agent systems.
7.3/10★★★★☆Visit Fiddler AI -
Best forTeams requiring LLM evaluation and safety gates
A focused platform for evaluating, tracing, and governing LLM and agent workflows.
7.2/10★★★★☆Visit Galileo -
Best forIndustrial teams monitoring soft sensors
A focused self-hosted framework for monitoring soft sensors in live industrial processes.
- Model performance metrics
- Drift monitoring
7.1/10★★★★☆Visit STAMM -
Best forRisk teams needing evidence and release controls
A governed monitoring component for teams managing high-stakes quantitative decisions.
- Bias monitoring
- Model performance metrics
- Drift monitoring
7.0/10★★★★☆Visit FiboRisk -
Best forTeams needing vector search, not monitoring
A strong managed vector search service, but not a model monitoring platform.
6.0/10★★★☆☆Visit Vertex AI
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Drift monitoring | Model performance metrics | Score |
|---|---|---|---|---|---|---|
| 1 | Deepchecks | Yes | Yes | Yes | 9.3 | |
| 2 | SUPERWISE | No | $10/mo | Yes | Yes | 9.1 |
| 3 | Arthur | Yes | $60/mo | Yes | Yes | 8.9 |
| 4 | NannyML | Yes | $99/mo | Yes | Yes | 8.8 |
| 5 | Amazon SageMaker Model Monitor | No | Yes | Yes | 8.5 | |
| 6 | ModelOp Center | Yes | Yes | 8.4 | ||
| 7 | Domino Model Monitor | No | Yes | Yes | 8.3 | |
| 8 | Arize AX | Yes | $50/mo | 8.1 | ||
| 9 | Opik | Yes | $19/mo | 8.0 | ||
| 10 | Arize Phoenix | Yes | Free | 7.9 | ||
| 11 | Evidently AI | Yes | Free | 7.8 | ||
| 12 | Radicalbit AI Monitoring | Yes | Free | Yes | Yes | 7.7 |
| 13 | Pulsar | Free | Yes | Yes | 7.6 | |
| 14 | Alibi Detect | Yes | Free | Yes | 7.5 | |
| 15 | MathWorks Modelscape Monitor | Yes | Yes | 7.4 | ||
| 16 | Fiddler AI | Yes | $0.002/unit usage-based | 7.3 | ||
| 17 | Galileo | Yes | $100/mo | 7.2 | ||
| 18 | STAMM | Free | Yes | Yes | 7.1 | |
| 19 | FiboRisk Model Monitoring | No | Yes | Yes | 7.0 | |
| 20 | Vertex AI Vector Search | 6.0 |
Head-to-head All 28 comparisons →
- Deepchecks vs SUPERWISE
- Deepchecks vs Arthur
- Deepchecks vs NannyML
- Deepchecks vs Amazon SageMaker Model Monitor
- Deepchecks vs ModelOp Center
- Deepchecks vs Domino Model Monitor
- Deepchecks vs Arize AX
- SUPERWISE vs Arthur
- SUPERWISE vs NannyML
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How we rank machine learning model monitoring software
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update