Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• golden-qlib-alpha — Separate the qlib factor calculation for independent use and simplify its usage.
• goodman_photometry — Pipeline for reducing Goodman HTS data.
• goodstats — Statistics models and tests that return 'tidy' classes
• gopher-enrich — Gene ontology enrichment analysis using protein expression.
• gopiscator — CLI tool for performing gene set enrichment analysis using the GO database.
• goreverselookup — Python library for Gene Ontology Reverse Lookup
• gps-building-blocks — Modules and tools useful for use with advanced data solutions on Google Ads, Google Marketing Platform and Google Cloud.
• gpsea — Discover genotype-phenotype correlations with GA4GH phenopackets
• grading-tools — Tools for evaluating student submissions.
• gramex — Gramex: Low Code Data Solutions Platform
• graphcompass — Spatial metrics for differential analyses of cell organization across conditions
• graphpype — Graph analysis for neuropycon (using nipype, and ephypype); based on previous packages dmgraphanalysis and then dmgraphanalysis_nodes and graphpype
• GraphSTAM — Graph Based Spatio-Temporal Attention Models For Demand Forecasting
• graspologic — A set of Python modules for graph statistics
• GRATIOSA — no summary
• greatpy — Implementation of GREAT in Python
• gregory — Python framework to manage time series structured as one-level dictionaries
• grey-model — 灰色系统包，目前只有一个功能，未来会有很多！
• greykite — A python package for flexible forecasting
• grid-toolkit — A toolkit for generating grid-frequency deviation scenarios over 15 minute timesteps.
• grimoire-elk — GrimoireELK processes and stores software development data to ElasticSearch
• grimoirelab — Tool set for software development analytics
• Grimsel — GeneRal Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
• grmpy — grmpy is a Python package for the simulation and estimation of the generalized Roy model.
• gs-quant — Goldman Sachs Quant
• gsc-rank-tracker — A basic rank tracker using Plotly and Google Search Console API.
• gscipy — Gabba Scientific utilities
• GSForge — Feature (gene) selection package for gene expression data.
• gspWeb — Fitting ols model in python
• gssnng — Gene Set Scoring on the Nearest Neighbor Graph (gssnng)
• GuangBEAT — BEAT
• GuangTestBeat — This package contains several methods for calculating Conditional Average Treatment Effects
• gumly — Gumly
• gutmetrics — Analysis of blood metabolome prediction of gut microbiome α-diversity in humans
• gwnrtools — A collection of tools for academic research in gravitational-wave astronomy & astrophysics
• gxusthjw — the python packages of gxusthjw.
• gytoolkit — 用于PB业务管理的工具集
• hades-nlp — Homologous Automated Document Exploration and Summarization - A powerful tool for comparing similarly structured documents
• halla — HAllA: Hierarchical All-against All Association Testing
• halophot — K2 halo photometry with total variation.
• handystuff — Handy stuff that I end up copy-pasting from here and there
• HAPI-Nile — Distributed hydrological-model
• happy-learning — Toolbox for reinforced developing of machine learning models (as proof-of-concept)
• happyfeat — Package for HappyFeat
• hav — This HAV (hierarchical ABM validation) package helps you to comprehensively validate agent-based models.
• hazelbean — Collection of geospatial algorithms, parallel computation utilities and project management tools.
• hcl-model — Simple time series forecasting based on multiple linear regression
• hds-stats — Useful functions for EDA, Statistics and Machine Learning
• heifetslab-unravel — UNRAVEL: UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images
• hemlock-ax — A hemock extension for adaptive experimentation.
• hexpot — Realtime quantitative trading tools
• hichip-peaks — A tool to find peaks from hichip data
• hicrep — Python implementation of HiCRep stratum-adjusted correlation coefficient of Hi-C data with sparse contact matrix support
• hictools — Tools for handling hic data
• hidrocomp — Developed for hydrological studies
• hierdiff — Clustering high-dimensional instances (e.g. T cell receptors) and testing whether clusters of instances are differentially abundant in two or more categorical conditions, with interactive tree visualization.
• HiPart — A hierarchical divisive clustering toolbox
• hits-x — Updated and modified from Jeff's version.
• hiutils — Utilities for health informatics
• HLR — HLR - Hierarchical Linear Regression for Python
• hmp — Package for fitting Hidden Multivariate pattern model to time-series
• hnet — Graphical Hypergeometric Networks
• hnoca — Human Neural Organoid Cell Atlas Toolbox
• hommmer — A simple Marketing Mix Modeling library in Python
• hotspotsc — Identifying informative genes (and gene modules) in a single-cell dataset.
• hptpy — Hypothesis Testing Python Library
• hsmm-mvpy — DEPRECATED new name under HMP, see https://pypi.org/project/hmp/
• hstrat — hstrat enables phylogenetic inference on distributed digital evolution populations
• hurst-exponent — Hurst exponent estimator
• hurst-fitter — Library to estimate Hurst index of time series.
• hybrid-vector-model — Package to model the traffic of invasive species and disease vectors
• hyclib — Commonly used tools across my own personal projects.
• hydrocomp — Desenvolvido para estudos hidrológicos
• hydroDL — Hydrological Deep Learning
• hygraph-core — A package for managing and analyzing HyGraph data
• hyp3lib — Common library for HyP3 plugins
• hypermapper — HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization.
• hyperts — no summary
• hypex — Fast and customizable framework for Causal Inference
• HyPyP — The Hyperscanning Python Pipeline.
• iar — Irregularly Observed Autoregressive Models
• IBATS-Common — IBATS（Integration Backtest Analysis Trade System）的公共模块，所有Feeder, Trader均集成这个模块，并使用其提供的一些公共工具
• ibeis — IBEIS - Image Based Ecological Information System
• ibicus — ibicus provides a flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.
• ibl-pipeline — Datajoint schemas for IBL
• ibm-metrics-plugin — IBM Watson OpenScale Metrics library
• ic-use-cases — Infers the use case of an intelligent contact using clustering.
• IDEAfactortest — 单因子的测试（日级别and分钟级别）,非交互式
• idoctorai — Idoctor AI is a Python library that integrates generative artificial intelligence capabilities into Pandas.
• idsw — Full workflow for ETL, statistics, and Machine learning modelling of (usually) time-stamped industrial facilities data.
• iloscar — iLOSCAR
• iloscar-win — iLOSCAR_win
• imgMS — Package for data reduction of LA-ICP-MS data.
• imgraph — Graph Neural Network Library Built On Top Of PyTorch and PyTorch Geometric
• imitatebias — Package for imitatebias
• imputena — Package that allows both automated and customized treatment of missing values in datasets using Python.
• imputetspy — Re-written R package "imputeTS" in python code with some other imputation in time series method
• iMSminer — iMSminer provides user-friendly, partially GPU- or compiler-accelerated multi-condition, multi-ROI, and multi-dataset preprocessing and mining of larger-than-memory imaging mass spectrometry datasets in Python.
• imsy-htc — Framework for automatic classification and segmentation of hyperspectral images.
• indsl — Industrial Data Science Library by Cognite