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Top 23 Python anomaly-detection Projects
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pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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Nutrient
Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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Project mention: Darts: Python lib for forecasting and anomaly detection on time series | news.ycombinator.com | 2024-03-05
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anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Project mention: Computer Vision Meetup: Anomaly Detection with Anomalib and FiftyOne | dev.to | 2024-05-10In this brief walkthrough, I will illustrate how to leverage open-source FiftyOne and Anomalib to build deployment-ready anomaly detection models. First, we will load and visualize the MVTec AD dataset in the FiftyOne App. Next, we will use Albumentations to test out augmentation techniques. We will then train an anomaly detection model with Anomalib and evaluate the model with FiftyOne.
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Project mention: Powerful and scalable Python library for modern time series analysis | news.ycombinator.com | 2024-08-01
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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matrixprofile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
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CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python anomaly-detection discussion
Python anomaly-detection related posts
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Computer Vision Meetup: Anomaly Detection with Anomalib and FiftyOne
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Anomalib: Anomaly detection library comprising cutting-edge algorithms
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RAG Using Structured Data: Overview and Important Questions
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Open source anomaly detection for metrics
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Defect Detection using Computer Vision
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anomaly-detection-resources: NEW Extended Research - star count:7507.0
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anomaly-detection-resources: NEW Extended Research - star count:7507.0
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A note from our sponsor - Nutrient
www.nutrient.io | 17 Feb 2025
Index
What are some of the best open-source anomaly-detection projects in Python? This list will help you:
# | Project | Stars |
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1 | pyod | 8,810 |
2 | anomaly-detection-resources | 8,548 |
3 | darts | 8,323 |
4 | sktime | 8,196 |
5 | anomalib | 4,044 |
6 | stumpy | 3,777 |
7 | Merlion | 3,522 |
8 | ailia-models | 2,125 |
9 | flow-forecast | 2,120 |
10 | surpriver | 1,799 |
11 | logparser | 1,670 |
12 | tods | 1,478 |
13 | pygod | 1,378 |
14 | luminol | 1,195 |
15 | OpenOOD | 920 |
16 | ADBench | 900 |
17 | luminaire | 771 |
18 | DGFraud | 704 |
19 | DeepADoTS | 568 |
20 | TranAD | 552 |
21 | opensnitch | 397 |
22 | matrixprofile | 362 |
23 | CSI | 277 |