Time series easier, faster, more fun. Pytimetk.
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Updated
Jul 16, 2024 - Python
Time series easier, faster, more fun. Pytimetk.
Comprehensive Python Library for Time Series Distance Measure
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
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.
Statsmodels: statistical modeling and econometrics in Python
GRASS GIS - free and open-source geospatial processing engine
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
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
This project explores various time series operations using Python libraries NumPy and pandas. It demonstrates techniques for handling and analyzing time-dependent data.
BangDB - nosql database
A Jupyter Notebook to demo the openseries package.
Apache HoraeDB (Incubating) Rust Client.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.
This repo contains sample code and sample notebooks to illustrate how to work with Amazon FinSpace
Apache HoraeDB (Incubating) Protocol Buffer Files
Blazingly fast technical analysis indicators based on Polars.
Analysis of global sunspot numbers spanning from 1700 to 2023, featuring forecasts derived using a SARIMA model
Using machine learning for climate temperature forecasting
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