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Top 3 Jupyter Notebook model-monitoring Projects
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Project mention: Why Your Neural Network Fails Silently and How to Actually Debug It | dev.to | 2026-04-25Set up drift detection. Compare weekly distributions of model inputs against your training data baseline. Tools like Evidently make this straightforward.
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eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook model-monitoring discussion
Jupyter Notebook model-monitoring related posts
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Why Your Neural Network Fails Silently and How to Actually Debug It
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Evidently: Open-source ML observability platform
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Evidently: Open-source ML observability platform
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Evidently: An open-source ML and LLM observability framework
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Wk 4: Deployment - MLOPs with DataTalks
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20 examples of LLM-powered applications in the real world
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Wk 2 Experiment Tracking: MLOPs with DataTalks
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A note from our sponsor - AppSignal
www.appsignal.com | 7 Aug 2026
Index
What are some of the best open-source model-monitoring projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | mlops-zoomcamp | 15,047 |
| 2 | evidently | 7,778 |
| 3 | eurybia | 224 |
Sponsored
AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
www.appsignal.com