stumpy
awesome-time-series
| stumpy | awesome-time-series | |
|---|---|---|
| 6 | 28 | |
| 2,994 | 471 | |
| 0.7% | - | |
| 7.9 | 5.3 | |
| about 1 month ago | about 1 month ago | |
| Python | ||
| GNU General Public License v3.0 or later | - |
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
- Stumpy: Matrix profile time series analysis
-
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
-
[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
awesome-time-series
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
tslearn - The machine learning toolkit for time series analysis in Python
pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
luminol - Anomaly Detection and Correlation library
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.
numba-dpex - Data Parallel Extension for Numba
jertl - A minimum viable Python package for processing structured data
anomstack - Anomstack - Painless open source anomaly detection for your metrics 📈📉🚀