Software/ ProgrammesFilter by: MATLAB, Python, Julia, R, Java, C/C++, commandline, standalone application [reset filter]
Available software for the creation and application of RPs and their quantitative analysis facilitates the spread of their application (no claim to completeness):
Commandline Recurrence Plots
by Norbert Marwan
Allows for the creation of RPs and their quantification analysis for really long data series, commandline based, currently for Unix/ Linux and Win2k.
CRP Toolbox for MATLAB
by Norbert Marwan
Allows for the creation of RPs, CRPs as well as JRPs, quantification analysis of RPs, CRPs and JRPs includes the new measures of complexity as LAM and TT, time scale alignment tool based on CRPs and further useful tools and methods of nonlinear time series analysis and data preparation are provided, platform independent (for Matlab), both usage of graphical user interface as well as commandline call is possible, a plugin is available enabeling the computation of RPs and RQA of long data series.
NoLiTiA: An Open-Source Toolbox for Non-linear Time Series Analysis
by Clinical Systems Neuroscience, University Hospital Giessen & Marburg
MATLAB Toolbox including methods for dynamical systems theory, recurrence qunatification analysis, and information theory.
CEPS: Analysis of Complexity and Entropy in Physiological Signals
by Deepak Panday
MATLAB GUI with wrapper to external software packages that include functions for calculating recurrence plots and recurrence quantification
Pattern Transition Detection Algorithm (PTDA)
by Kathrin Viol
MATLAB package for change point analysis including recurrence plots.
by Charles Webber Jr.
Allows for the creation of RPs as well as CRPs and their quantification, only for DOS, commandline based.
by Tobias Rawald
Python package to perform recurrence quantification analysis (RQA) and to create recurrence plots in a massively parallel manner using the OpenCL framework.
Tool box of recurrence plot and recurrence quantification analysis
by Hui Yang
A MATLAB toolbox for recurrence plot and recurrence quantification analysis.
by Tomas Martinovic
Highly scalable C code to calculate RP and RQA for cluster computers.
by Stefan Schinkel
A Python frontend for the Commandline Recurrence Plots software.
» software/rqaci.zip and https://web.archive.org/web/20151101062843/http://people.physik.hu-berlin.de/~schinkel/rqaci.html
Visual Recurrence Analysis 4.9
by Eugene Kononov
Creation of RPs and computing the RQA measures, only for MS Windows, graphical user interface.
by Claus Wimmer
A Java implementation of a dot matrix for Genome comparison.
by ixitos GmbH
Commercial software for data analysis which includes a function to compute a recurrence plot (only RPs due to Eckmann et al. (1987) are supported), available for Windows and some Unix.
by Lazar Kovacevic
Python based nonlinear data analysis software, allows the creation of RPs and isometric RPs, graphical user interface.
by Rainer Hegger, Holger Kantz and Thomas Schreiber
Many tools and methods from nonlinear time series analysis, regarding the recurrence based analysis only RPs can be created, free source code, binary executables for OSF, Linux and Windows, commandline based.
by Paul Bourke
Two C programmes (source code) for creation distance and recurrence plots as bitmap files (I could not create a running compilation from this code), commandline based.
by Krishna Nayak
creation of RPs and computing the correlation and Hausdorff dimensions, source code available, commandline based (unfortunately, not available anymore)
RR APET HRV analysis software
by Meghan McConnell
Package with Python functions to study heart rate variability, including RP and RQA.
RQA and CRQA GUI-Application
by Mike Richardson
MATLAB scripts for a GUI-based RQA.
by Mike Richardson
MATLAB scripts for RQA.
Recurrence Plot & Quantification
by Hauke Kraemer and Norbert Marwan
Simple MATLAB functions for calculating recurrence plots and recurrence quantification.
by Jonathan Donges et al.
UNIfied COmplex Network and Recurrence aNalysis toolbox: a fully object-oriented Python package for the advanced analysis and modeling of complex networks and performing recurrence analysis, including recurrence networks.
crqa: Cross-Recurrence Quantification Analysis for Categorical and Continuous Time-Series
by Moreno I. Coco and Rick Dale
An R package for cross-recurrence quantification.
by Johann Faouzi
pyts is a Python package dedicated to time series classification. It provides a simple recurrence plot calculation for transforming time series into images (for use in classification).
Border effect corrections for RQA
by Hauke Kraemer
MATLAB code to calculate RPs and perform RQA with various border corrections schemes (according to H. Kraemer and N. Marwan, Phys. Lett. A, 2019).
RQA for Mathematica
by Flip Phillips
A set Mathematica tools for RQA – Recurrence quantification analysis.
by Computational Sensemaking Lab
A Python package for quantifying multivariate synchrony, including simple RQA measures.
fNonlinear: Nonlinear and Chaotic Time Series Modelling
by Diethelm Wuertz and many others, see the SOURCE file
R package with similar functionality as the TISEAN package.
by Constantino Antonio Garcia Martinez
nonlinearTseries is an R package providing functions for nonlinear time series analysis. It contains functions for recurrence plot calculation and RQA.
by Barbara Reis
This scientific software written in Python 3 computes Recurrence Plot (RP), Cross Recurrence Plot (CRP), Joint Recurrence Plot (JRP) and Recurrence Quantification Analysis.
by Barbara Reis
This scientific software written in C++ computes Recurrence Plot (RP), Cross Recurrence Plot (CRP), Joint Recurrence Plot (JRP) and Recurrence Quantification Analysis on commandline of Linux systems.
Resources for recurrence quantification analysis
by Alexandra Paxton
Tools and tutorials to help with RQA and CRQA in R.
by Sebastian Wallot
Single function for MATLAB and R to calculate RP and RQA.
by Tobias Braun
The RECLAC Python package provides functions to compute recurrence lacunarity. It also offers a basic implementation of traditional recurrence quantification measures and computation of box-counting dimensions.
Visualisation Cross Recurrence Quantification Analysis
by Leshao Zhang
Recurrence plots with the Processing language.
by Helios De Rosario
Julia package for the exploration of chaos and nonlinear dynamics including recurrence plots and recurrence quantification analysis (RQA) and to create recurrence plots.
by Fred Hasselman
An R package for calculating randomness and redundancies in sequences of symbols. It includes categorical RQA.
casnet: An R toolbox for studying Complex Adaptive Systems and NETworks
by Fred Hasselmann
An R package with a collection of analytic tools for studying signals, including recurrence quantification analysis.
RHRV: Heart Rate Variability Analysis of ECG Data
by Leandro Rodriguez-Linares
A package for heart rate variability analysis for R, including the calculation of RQA measures.
Professional HRV analysis software, including RP and RQA.
Simple MATLAB and Python functions to create RPs and perform RQA.
by Tom Wouters
A Java implementation of recurrence plots, source code available, should be implemented in own programmes (not stand-alone), not available anymore.
Comparison of the calculation speeds and between some of the software can be found in:
- J. Belaire-Franch, D. Contreras: Recurrence Plots in Nonlinear Time Series Analysis: Free Software, Journal of Statistical Software 7(9) (2002).
Recurrence Plots Online
Try out online, what recurrence plots are:
Recurrence Plots Online
Mathematica Demonstrations Project:
Recurrence-Based Representations of the Logistic Map
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Please respect the copyrights! The content of this web site is protected by a Creative Commons License. You may use the text or figures, but you have to cite this source (www.recurrence-plot.tk) as well as N. Marwan, M. C. Romano, M. Thiel, J. Kurths: Recurrence Plots for the Analysis of Complex Systems, Physics Reports, 438(5-6), 237-329, 2007.
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