Modern Time Series Analysis With STUMPY

STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks such as:

* pattern/motif (approximately repeated subsequences within a longer time series) discovery
* anomaly/novelty (discord) discovery
* shapelet discovery
* semantic segmentation
* streaming (on-line) data
* fast approximate matrix profiles
* time series chains (temporally ordered set of subsequence patterns)
* and more ...

Whether you are an academic, data scientist, software developer, or time series enthusiast, STUMPY is straightforward to install and our goal is to allow you to get to your time series insights faster.

https://github.com/TDAmeritrade/stumpy

Transcript

1. Modern Time Series Analysis With #SciPy2020 Sean Law @seanmylaw @stumpy_dev
2. @pydataannarbor
3. EXPLORATION LAB TECHNOLOGY Senior Research Scientist and Data Scientist
4. # And Moar! Discord Detection Multi- dimensional Motif Discovery Time Series Chains Snippets Time Series Clustering Semantic Segmentation
5. Software Dependencies #Winning Python 3.6+ Numba SciPy + + + NumPy
6. search: “python stumpy” tutorials: https://tiny.cc/stumpy-tutorials demo: https://tiny.cc/stumpy-demo code: https://tiny.cc/stumpy-code docs: https://tiny.cc/stumpy-docs @seanmylaw @stumpy_dev