stumpy
kafkaml-anomaly-detection
| stumpy | kafkaml-anomaly-detection | |
|---|---|---|
| 6 | 1 | |
| 2,994 | 48 | |
| 0.7% | - | |
| 7.9 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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stumpy
- Stumpy: Matrix profile time series analysis
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Time Series Analysis for air pollution data not aligned [R] [P]
Have you tried using STUMPY (https://github.com/TDAmeritrade/stumpy)?
- [D] STUMPY v1.11.0 Released for Modern Time Series Analysis
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[D][R] Clustering techniques for time series - MSc thesis
Haven't used it before, but I've seen a few powerpoints on https://github.com/TDAmeritrade/stumpy.
- Looking for a simple Time Series model for predicting stock prices
kafkaml-anomaly-detection
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Real time anomalies detection using kafka and scikit-learn
Hello everyone, I want to share with you a project I made for real time anomalies detection using kafka in python and scikit-learn, it has the generation of streaming data, the real time predictions and slack alerts, full code here
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
Faust - Python Stream Processing
awesome-time-series - Resources for working with time series and sequence data
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
luminol - Anomaly Detection and Correlation library
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
dotmotif - A performant, powerful query framework to search for network motifs
makinage - Stream Processing Made Easy
pyvtreat - vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.
dask-awkward - Native Dask collection for awkward arrays, and the library to use it.