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Top 4 Python anomaly Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
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CueObserve
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Project mention: A Comprehensive Guide for Building Rag-Based LLM Applications | news.ycombinator.com | 2023-09-13This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13Numerous tools exist for detecting anomalies in time series data, but Alibi Detect stood out to me, particularly for its capabilities and its compatibility with both TensorFlow and PyTorch backends.
Python anomaly related posts
- Looking for recommendations to monitor / detect data drifts over time
- [D] Distributions to represent an Image Dataset
- Multivariate Outlier Detection in Python
- [D] Which statistical test would you use to detect drift in a dataset of images?
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- [D] Unsupervised Outlier Detection - Advise Requested
- What Machine Learning model monitoring tools can you recommend?
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Index
What are some of the best open-source anomaly projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | pyod | 7,941 |
2 | alibi-detect | 2,082 |
3 | cflow-ad | 222 |
4 | CueObserve | 205 |
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