Integrations
WhyLabs integrations make it possible to switch on observability for your ML model monitoring and data pipeline monitoring with less than five lines of code.
WhyLabs offers integrations with best-in-class technologies including Clouds, Data Sources, Deployment Managers, and Data Labeling Platforms .
Our list of integrations are growing fast but perhaps you need one that’s not listed? You can request integrations here.
Clouds
AWS
Switch on WhyLabs observability in a few clicks in the AWS Marketplace. We are AWS experts, so bring your toughest ML monitoring challenges over.
DetailsDatabricks
Big data pipelines, distributed data pipelines, AutoML pipelines, Databricks model serving... all of these can be monitored today.
DetailsAzure
If you call Azure your home, switching on WhyLabs is as easy as adding three lines of code.
DetailsOn Premise
Plug whylogs open source telemetry agent to your custom infrastructure. For containerized architecture, use our container as a sidecar. We’ve got you covered!
DetailsData Sources
Snowflake
Coming to the Data Cloud near you soon!
Dask
Python apps of crazy scale should be monitored too, we are on it.
Modin
Those 1TB DataFrames are about to become high quality.
Deployment Managers
Amazon SageMaker
MLOps platform built to work with AWS infrastructure now with fully integrated WhyLabs monitoring!
Details
NimbleBox
Run fast, deploy often, and don’t forget to monitor.
Data Labeling Platforms
Snorkel
If data labeling is automated, data quality should be too!
Experiment Trackers
Weights & Biases
Coming soon!
Neptune AI
Coming soon!
Serving Architectures
Seldon
Coming soon!
Notifications
Request an integration
Don’t see an integration you need? Let us know what integrations you would find useful and enable ml model monitoring in your pipeline. Or, perhaps you already built an integration and want to be listed on this page? Let us know using the form below.
