stumpy
luminol
| stumpy | luminol | |
|---|---|---|
| 6 | 3 | |
| 2,994 | 1,159 | |
| 0.7% | 0.7% | |
| 7.9 | 1.6 | |
| about 1 month ago | 12 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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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
luminol
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How are SREs using AI?
We use something (developed in-house) similar to https://github.com/linkedin/luminol for anomaly and correlation.
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[P] anomaly detection in time series data
Hey, I solved this problem in my current job using Time Series Bitmap + Clustering. There's an implementation of this algorithm in this Linkedin's package called Luminol: https://github.com/linkedin/luminol
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How to make timer series correlations running faster?
I'm using the Luminol package to calculate correlations among normalized data.
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
awesome-time-series - Resources for working with time series and sequence data
CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
opensnitch - OpenSnitch is a GNU/Linux application firewall
dotmotif - A performant, powerful query framework to search for network motifs
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.