stumpy VS anomstack

Compare stumpy vs anomstack and see what are their differences.

anomstack

Anomstack - Painless open source anomaly detection for your metrics 📈📉🚀 (by andrewm4894)
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stumpy anomstack
6 2
2,998 82
1.1% -
7.9 9.7
about 1 month ago about 1 month ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

stumpy

Posts with mentions or reviews of stumpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-22.

anomstack

Posts with mentions or reviews of anomstack. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stumpy and anomstack you can also consider the following projects:

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence

pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

awesome-time-series - Resources for working with time series and sequence data

kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

dotmotif - A performant, powerful query framework to search for network motifs

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

luminol - Anomaly Detection and Correlation library

darts - A python library for user-friendly forecasting and anomaly detection on time series.