Statsmodels: statistical modeling and econometrics in Python
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Nov 11, 2026 - Python
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Statsmodels: statistical modeling and econometrics in Python
python data-science statistics prediction econometrics forecasting data-analysis regression-models hypothesis-testing generalized-linear-models timeseries-analysis robust-estimation count-model
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
review machine-learning awesome timeseries deep-learning time-series transformers survey transformer forecasting classification anomalydetection timeseries-analysis time-series-forecasting
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
rust distributed-database cloud-native tsdb timeseries-database timeseries-analysis iot-database prometheus-remote-storage horaedb
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
machine-learning data-mining awesome tutorial timeseries deep-learning signal-processing forecasting classification awesome-list missing-data anomalydetection temporal-models spatio-temporal-analysis timeseries-analysis timeseriesclassification timeseries-forecasting changepoint-detection timeseries-prediction temporal-point-processes
GRASS - free and open-source geospatial processing engine
python science data-science machine-learning jupyter vector geospatial parallel-computing gis image-processing raster spatial open-science remote-sensing arrays hacktoberfest earth-observation geospatial-analysis grass-gis timeseries-analysis
Official code for TimeCraft: A Time Series Generation Framework for Real-World Applications
Time series easier, faster, more fun. Pytimetk.
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
python data-science time-series pypi motif python3 pip motif-discovery pypi-packages timeseries-analysis pip3 matrix-profile timeseries-segmentation
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
python machine-learning timeseries neural-network machine-learning-algorithms esn recurrent-neural-networks artificial-intelligence reservoir echo-state-networks reservoir-computing timeseries-analysis timeseries-forecasting timeseries-prediction
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
python timeseries influxdb graphite prometheus telegraf anomaly anomaly-detection timeseries-analysis victoriametrics
[VLDB' 25] ChatTS: LLM for Time Series Understanding and Reasoning
Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters
streaming timeseries time-series prediction calibration predictions predictive-modeling prediction-algorithm online-learning time-series-analysis timeseries-data anomaly-detection timeseries-analysis timeseries-forecasting
If you can measure it, consider it predicted
timeseries time-series keras kalman-filter online-algorithms timeseries-database fbprophet timeseries-data hmmlearn timeseries-analysis nowcasting timeseries-forecasting tslearn timeseries-clustering pmdarima tsfresh timeseries-prediction filterpy
Python implementation of k-Shape
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
python data-science scala timeseries time-series pandas data-analysis timeseries-data timeseries-analysis
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
nlp docker machine-learning deep-learning random-forest text-classification tensorflow svm word2vec geolocation keras gensim tensorboard ab-testing spam-classification lstm-neural-networks imbalanced-data kdtree timeseries-analysis mlflow
trend / momentum and other patterns in financial timeseries
Time-Series Anomaly Detection Comprehensive Benchmark
machine-learning time-series dataset anomaly timeseries-data anomaly-detection timeseries-analysis multivariate-timeseries univariate-timeseries
This tool should help discover different patterns based on similarity measures in historical (financial) data
heroku finance timeseries restapi stock-market forecasting stock-price-prediction stocks stock-data similarity-search timeseries-analysis hacktoberfest2021 stocks-pattern-analyzer timeserie-indexing
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
python data-science vector geo geospatial gis raster spatial udf earth-observation geospatial-analysis timeseries-analysis geopython
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