Top 6 Jupyter Notebook data-quality Projects
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InfluxDB
InfluxDB β Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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evidently
Evidently is ββan 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: Evidently: Open-source ML observability platform | news.ycombinator.com | 2024-12-12 -
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whylogs
An open-source data logging library for machine learning models and data pipelines. π Provides visibility into data quality & model performance over time. π‘οΈ Supports privacy-preserving data collection, ensuring safety & robustness. π
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awesome-python-for-data-science
A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! π
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Index
What are some of the best open-source data-quality projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | Made-With-ML | 38,894 |
2 | evidently | 6,275 |
3 | mlops-course | 3,135 |
4 | whylogs | 2,726 |
5 | awesome-data-centric-ai | 336 |
6 | awesome-python-for-data-science | 85 |