Alternatives and similar repositories for metran

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

• ajayarunachalam / Deep_XF
  Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…
  ☆118Updated 2 years ago
• InvestmentSystems / recombinator
  Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…
  ☆49Updated last year
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆115Updated last year
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆100Updated 4 years ago
• erdogant / caerus
  Detection of favorable moments in time series data
  ☆35Updated last month
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆157Updated 8 months ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 5 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆82Updated 3 months ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆47Updated 3 years ago
• Hvass-Labs / InvestOps
  Tools for investing in Python
  ☆46Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 7 months ago
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆29Updated 10 months ago
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆40Updated last year
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆111Updated last week
• mjbommar / rfcorr
  Random Forest-based "Correlation" measures
  ☆15Updated 3 years ago
• rakshitha123 / Localised_Ensembles
  This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online…
  ☆14Updated 3 years ago
• kperry2215 / change_point_detection
  Examples of online and offline changepoint detection using the ruptures and changefinder packages
  ☆54Updated 6 years ago
• maxmekiska / imbrium
  Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
  ☆61Updated last year
• vcerqueira / vest-python
  ☆28Updated 2 years ago
• mustafaseisa / regimechange
  Non-parametric method for estimating regime change in bivariate time series setting.
  ☆14Updated 8 years ago
• crusaderky / pyscenarios
  Python Monte Carlo Scenario Generator
  ☆13Updated last week
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 3 years ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆51Updated 6 years ago
• dhopp1 / nowcast_lstm
  LSTM neural networks for nowcasting economic data.
  ☆70Updated last year
• joergrieger / pybvar
  Bayesian Vector Autoregression in Python
  ☆28Updated 6 years ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆40Updated last year
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 3 years ago