Alternatives and similar repositories for timecorr

Users that are interested in timecorr are comparing it to the libraries listed below

• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆46Updated last year
• olivercliff / assessing-linear-dependence
  A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
  ☆17Updated 3 years ago
• ContextLab / supereeg
  Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression
  ☆35Updated 3 years ago
• xuefeicao / cdn
  Causal Dynamic Network Modeling
  ☆14Updated 6 years ago
• joanrue / pydynet
  Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics
  ☆13Updated 4 years ago
• thosvarley / OPyN
  A Python package for construction and analysis of ordinal partition networks from time-series data.
  ☆18Updated 3 months ago
• patrk / pyPTE
  Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
  ☆26Updated 7 months ago
• mb-BCA / NetDynFlow
  A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.
  ☆11Updated 11 months ago
• tmdemelo / pydcm
  Dynamic Causal Modeling with Python
  ☆40Updated 5 years ago
• Laouen / THOI
  THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing
  ☆19Updated 3 months ago
• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆229Updated last month
• swkeemink / takens-embed
  Using the Taken's embedding theorem to estimate the causality between variables. Based on Sugihara et al (2012) - Detecting Causality in …
  ☆11Updated 7 years ago
• mariogutierrezroig / smite
  Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy
  ☆14Updated 6 years ago
• neurospin / pymultifracs
  Wavelet based multifractal analysis of 1D signals
  ☆34Updated last week
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• dokato / dfa
  Detrended Fluctuation Analysis
  ☆63Updated 4 years ago
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆89Updated 4 years ago
• montaltoalessandro / MuTE
  ☆11Updated 7 years ago
• raamana / confounds
  Conquering confounds and covariates: methods, library and guidance
  ☆38Updated last year
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 3 years ago
• EoinTravers / Evidently
  Simulate Evidence Accumulation Models in Python
  ☆23Updated 3 years ago
• robince / partial-info-decomp
  Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
  ☆46Updated last year
• JohnGriffiths / mne-dcm
  Dynamic Causal Modelling for MNE and the nipy ecosystem
  ☆21Updated 7 years ago
• MengYunWang / Granger-Causality-Analysis
  Using GC analysis to explore the effective connectivities
  ☆17Updated 3 years ago
• trentool / TRENTOOL3
  Open-Source MATLAB toolbox for transfer entropy estimation
  ☆61Updated 7 years ago
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆56Updated last year
• wiheto / teneto
  Temporal Network Tools
  ☆85Updated last year
• OscillationMethods / OscillationMethods
  Methodological considerations for analyzing and interpreting neural oscillations.
  ☆31Updated last year
• LegrandNico / hmm-mne
  Hidden Markov Modelling of M/EEG data.
  ☆17Updated 4 years ago
• NirLab-TAU / sleepeegpy
  ☆31Updated last month