Alternatives and similar repositories for FATS

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

• bnaul / IrregularTimeSeriesAutoencoderPaper
  ☆65Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆99Updated 2 months ago
• mcyeh / mstamp
  ☆37Updated 6 years ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆85Updated 9 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆82Updated 8 years ago
• CamDavidsonPilon / PyProcess
  Generate stochastic processes using Python. Unfortunately not maintained any longer =(
  ☆111Updated 10 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated last year
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆72Updated 2 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated last year
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆147Updated 4 years ago
• dtolpin / bocd
  Bayesian Online Changepoint Detection
  ☆64Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆53Updated 4 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• nudomarinero / wquantiles
  weighted quantiles with Python
  ☆53Updated 4 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆68Updated 11 years ago
• shunsukeaihara / changefinder
  ☆105Updated 2 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• quatrope / feets
  feATURE eXTRACTOR FOR tIME sERIES
  ☆53Updated 2 months ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆579Updated 3 years ago
• hippke / wotan
  Automagically remove trends from time-series data
  ☆162Updated 4 years ago