kitio.aiAdded Nov 5, 2026
NannyML
FreemiumMonitors deployed ML models and estimates performance without labels
What is NannyML?
NannyML monitors machine learning models after deployment and estimates how well they are performing even when ground-truth labels are delayed or missing. Data science teams use the open-source library or the managed NannyML Cloud to catch problems before they hit the business.
Instead of alerting on every data drift, NannyML measures how drift actually changes model performance, which cuts down on false alarms. You can define a cost-benefit matrix so that model quality is reported in money or other business outcomes.
NannyML Cloud is built on the open-source nannyML package and can run as SaaS or inside your own cloud, including an AWS SageMaker offering. Paid plans come with a 30-day free trial, and the company has announced it was acquired.
Features
- Performance estimation without labels
- Drift impact analysis
- Business impact metrics
- Alerting
- Self-hosted or SaaS deployment
Tags
Releases
+ Submit new release- Listed
NannyML was added to the directory.
Organization
NannyML
🇧🇪 Belgium
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Freemium
- Paid options from
- Not listed
Sponsored
Your AI tool here
A Featured launch puts your tool in this spot and on the home page for a week.
Top NannyML alternatives
View allModels & APIs
Open-source Python framework for ML and AI workflows
Models & APIs
Open-source platform for ML experiments, models and GenAI tracing
Models & APIs
Open-source MLOps and AI infrastructure platform for GPU clusters
Models & APIs
Open-source control plane for ML training, serving and agents on Kubernetes
If you liked NannyML
Open-source model serving and a managed platform for AI inference
FreemiumModels & APIsMade in United StatesOpen-source orchestration for ML pipelines and AI agents
Freemium · $39/moModels & APIsMade in Germany
Pros and cons
Pros
- Works when labels arrive late
- Fewer false drift alarms
- Free open-source library
Cons
- Cloud plans are expensive for small teams
- Focused on tabular ML, not LLM apps
- Future roadmap unclear after the acquisition
Prompts & results
No prompts yet. Add your own prompt and output to help others use this tool.
Share a prompt
Reviews
Q&A
What is NannyML?
NannyML monitors machine learning models after deployment and estimates how well they are performing even when ground-truth labels are delayed or missing. Data science teams use the open-source library or the managed NannyML Cloud to catch problems before they hit the business.
Can NannyML run in my own cloud?
Yes. NannyML Cloud can be deployed in your own cloud account, and there is a separate SageMaker version for AWS users.
Is NannyML open source?
Yes. The core nannyML Python library is open source, and NannyML Cloud adds a managed interface on top of it.
How much does NannyML cost?
NannyML is freemium.
Is there a free version of NannyML?
Yes. NannyML has a free plan, and paid plans add more usage and features.
What are the main features of NannyML?
Performance estimation without labels, Drift impact analysis, Business impact metrics, Alerting, Self-hosted or SaaS deployment.
Who makes NannyML?
NannyML is made by NannyML.
What are the best alternatives to NannyML?
Popular alternatives include Metaflow, MLflow, ClearML.