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Traces is a Python library for analysis of unevenly spaced time series in their unaltered form.; CRAN Task View: Time Series Analysis is a list describing many R (programming language) packages dealing with both unevenly (or irregularly) and evenly spaced time series and many related aspects, including uncertainty.
It can handle virtually any data frequency, including daily, weekly, intra-day, and panel data. RATS has extensive graphics capabilities. It can generate high-resolution time series graphs, high-resolution X-Y scatter plots, dual-scale graphs, and can export graphs to many formats, including PostScript and Windows Metafile.
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Graphite is a free open-source software (FOSS) tool that monitors and graphs numeric time-series data such as the performance of computer systems. [2] Graphite was developed by Orbitz Worldwide, Inc and released as open-source software in 2008. [3] Graphite collects, stores, and displays time-series data in real time. The tool has three main ...
RRDtool has a graph function, which presents data from an RRD in a customizable graphical format. RRDtool (round-robin database tool) aims to handle time series data such as network bandwidth, temperatures or CPU load. The data is stored in a circular buffer based database, thus the system storage footprint remains constant over time.
getML community is an open source tool for automated feature engineering on time series and relational data. [23] [24] It is implemented in C/C++ with a Python interface. [24] It has been shown to be at least 60 times faster than tsflex, tsfresh, tsfel, featuretools or kats. [24] tsfresh is a Python library for feature extraction on time series ...
Match summaries and player statistics, updated in real-time during the World Cup 03/14 March Madness Predict-o-Tron Probabilistic bracket generator for the 2014 Men's NCAA basketball tournament
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. Generally, time series data is modelled as a stochastic process.