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.

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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

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AWS

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Switch on WhyLabs observability in a few clicks in the AWS Marketplace. We are AWS experts, so bring your toughest ML monitoring challenges over.

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Databricks

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Big data pipelines, distributed data pipelines, AutoML pipelines, Databricks model serving... all of these can be monitored today.

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Azure

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If you call Azure your home, switching on WhyLabs is as easy as adding three lines of code.

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On Premise

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Plug whylogs open source telemetry agent to your custom infrastructure. For containerized architecture, use our container as a sidecar. We’ve got you covered!

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Data Sources

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Apache Spark

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Distributed big data? We are not afraid of scale!

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Apache Kafka

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Streamed data is streaming data bug - let’s monitor it!

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Ray

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Distributed applications get distributed monitoring...

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Teradata

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Data driven since 1979. We make sure this data is high quality!

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Python Pandas

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Works with Pandas dataframe out of the box!

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Snowflake

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Coming to the Data Cloud near you soon!

COMING SOON!

Dask

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Python apps of crazy scale should be monitored too, we are on it.

COMING SOON!

Modin

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Those 1TB DataFrames are about to become high quality.

COMING SOON!

Deployment Managers

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Amazon SageMaker

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MLOps platform built to work with AWS infrastructure now with fully integrated WhyLabs monitoring!

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UbiOps

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Streamed data is streaming data bug - let’s monitor it!

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Valohai

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MLOps platform focused on automation gets automatic monitoring.

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Predibase

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High performance, low code ML meets high performance, low code monitoring.

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TeachableHub

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Self-serve monitoring for self-serve deployment with zero MLOps platform

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NimbleBox

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Run fast, deploy often, and don’t forget to monitor.

COMING SOON!

Data Labeling Platforms

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Superb AI

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Data labeling meets data monitoring!

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Snorkel

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If data labeling is automated, data quality should be too!

COMING SOON!

Experiment Trackers

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MLflow

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The open-source experiment tracker has a deployment tool!

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Weights & Biases

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Coming soon!

COMING SOON!

Neptune AI

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Coming soon!

COMING SOON!

Serving Architectures

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Ray Serve / Anyscale

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Monitoring for your cutting-edge distributed serving

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BentoML

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The lightest-weight serving architecture that we know of!

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FastAPI

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Now you can monitor your models deployed as RESTful API endpoints

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Flask

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Models deployed as web services need monitoring too

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Seldon

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Coming soon!

COMING SOON!

Notifications

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Slack

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Get notifications pushed to your team’s favorite chat app

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Email

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Receive email notifications whenever an alert gets created

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PagerDuty

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Get notifications for critical-path MLOps incident response

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ServiceNow

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Coming soon!

COMING SOON!
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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.

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