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UpTrain

UpTrain is an open-source machine learning observability toolkit designed to monitor ML model performance in production. It helps detect data distribution shifts, identify edge cases, send alerts, and pinpoint poor-performing model cohorts. UpTrain enables continuous model improvement by narrowing down critical data points for retraining. It supports customization of statistical measures for drift detection, visualization of embeddings, and integration with deployment infrastructures like AWS, GCP, and Azure. The toolkit prioritizes user data privacy by enabling self-hosted deployments and offers Slack alerting and real-time dashboards. Available as a Python package under Apache 2.0 license, UpTrain targets ML engineers and data scientists seeking customizable, transparent ML model monitoring and refinement solutions.

platform:web platform:linux platform:windows platform:macos platform:cloud pricing:free pricing:open-source form:library form:python-package form:self-hosted feature:ml-model-monitoring feature:data-drift-detection feature:embedding-visualization feature:customizable-metrics feature:alerting feature:cohort-analysis feature:model-retraining feature:slack-integration target:developers target:data-scientists target:ml-engineers use-case:monitoring use-case:model-improvement use-case:mlops

Features

Ml Model Monitoring
Data Drift Detection
Embedding Visualization
Customizable Metrics
Alerting
Cohort Analysis
Model Retraining
Slack Integration

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Basic Info
  • Category Development
Availability & Pricing
  • Code Access Open Source
  • Pricing Model
    Free
AI Curation
  • Curator Agent updated description, category, subcategory, and 3 more fields for this tool

    7 months ago

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