PyDigger - unearthing stuff about Python


NameVersionSummarydate
discontinuum 0.2 Estimate discontinuous timeseries from continuous covariates. 2024-05-24 15:31:30
dtw-python 1.5.0 A comprehensive implementation of dynamic time warping (DTW) algorithms. 2024-05-23 22:32:23
tsclassification 1.1.1 A shapelet classifier for time series data. 2024-04-01 21:43:17
apicast 0.9.0 Python client and HTTP service to access bee flight forecast information published by Deutscher Wetterdienst (DWD), the federal meteorological service in Germany. 2024-03-31 16:03:25
tsshapelet 2.2.2 A timeseries shapelet extraction tool for python. 2024-03-03 18:00:56
sdv-installer 0.0.0.dev2 Package to install SDV Enterprise. 2024-03-01 03:35:58
tsclustering 1.2.2 A clustering tool for timeseries data with temporal distortions. 2024-02-21 18:42:24
metran 0.4.0 Python package to perform timeseries analysis of multiple hydrological time series using a dynamic factor model. 2024-02-20 15:23:51
pastas 1.4.0 Pastas is an open-source Python framework for the analysis of groundwater time series. 2024-02-20 10:32:26
pte-stats 0.3.0 An open-source software package for statistics with time series. 2024-02-15 18:27:29
enlopy 0.1 Python library with methods to generate, process, analyze, and plot energy related timeseries. 2024-02-05 20:49:26
quasardb 3.14.1 Python API for quasardb 2024-01-18 16:15:48
alpaca-trade-api 3.2.0 Alpaca API python client 2024-01-12 12:39:25
django-spicy-id 1.0.0 Fancy ID fields for django models. 2023-12-25 21:56:05
simdkalman 1.0.4 Kalman filters vectorized as Single Instruction, Multiple Data 2023-12-16 08:22:47
timepulse 0.2.0 A set of tools to help with timeseries flow 2023-12-15 13:43:54
tpk 0.0.1.dev0 TempportalPredictionsKit: toolset for timeseries data predictions 2023-12-13 15:33:26
changepy 0.4.0 Changepoint detection on time series, in Python 2023-12-06 20:41:44
raze-alpaca-api 3.0.2 Alpaca API python client 2023-11-20 16:09:49
timesplitter 1.0.4 A classe TimeSplitter é útil para dividir séries temporais em conjuntos de treinamento e teste, especialmente quando se deseja controlar o tamanho desses conjuntos e incluir um intervalo entre eles. Ela oferece flexibilidade ao lidar com diferentes tipos de dados e é especialmente útil em tarefas de modelagem de séries temporais. 2023-11-06 23:51:15
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