Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• sports2d — Detect pose and compute 2D joint angles from a video.
• spotfire-dsml — Toolkit for data science and machine learning built by Spotfire
• spotify-confidence — Package for calculating and visualising confidence intervals, e.g. for A/B test analysis.
• sprm — Sparse Partial Robust M Regression, including plot functions
• sptk — The Spectral Parameters Toolkit (SPTK) is a Python package for investigating the ability of a multispectral imaging system to identify distinct materials and material groups through differences in reflectance spectra.
• spychhiker — Various python class for speech analysis and speech synthesis
• spyking-circus — Fast spike sorting by template matching
• sqlflow-models — Premade Models for SQLFlow.
• squidpy — Spatial Single Cell Analysis in Python
• sreg — Stratified Randomized Experiments
• ss-test — A python module just to test publish
• ssalib — Singular Spectrum Analysis Library (SSALib)
• ssb-statstruk — SSB Statstruk
• sslearn — A Python package for semi-supervised learning with scikit-learn
• ssos — The ssos Pipeline - Detection of Solar System Objects in astronomical images
• stamox — Accelerate Your Statistical Analysis with JAX.
• starmatch — A package to handle the Star chart matching and astrometric positioning
• starplugs — DESCRIPTION
• stat-analysis — A Python library providing hands on implementation of a collection of common statistical methods for data analysis.
• stat-arb-tools — This package provides statistics arbitrage tools for traders
• stat-tests — Easy-to-use statistical tests in Python
• state-space — State Space Models in Python
• stationarizer — Smart, automatic detection and stationarization of non-stationary time series data.
• Statistic-Project-2024 — A package for temperature analysis
• statistics-library — A custom statistics library/ resampling technqiues for chi-abs, boostrapting analysis and other statistical functions.
• statkit — Confidence intervals and p-values for sci-kit learn.
• statmanager-kr — Open-source statistical package in Python based on the Pandas
• stats-advanced — Making statistics easier with python
• statsassume — Automating Assumption Checks for Regression Models
• statscend — A Python package for performing various statistical analyses
• statsforecast — Time series forecasting suite using statistical models
• statstables — A package for making custom LaTeX, HTML, and ASCII statistical tables
• statsToolkit — Statistical Methods for Data Science Toolkit
• StatsWithSahira — Making statistics easier with python
• statworx-theme — A color theme for matplotlib using the offical statworx design
• stemlab — Mathematical Computing and Analysis in STEM
• stepsel — Stepwise selection for statsmodels GLM.
• stepwise-regression — A Python package to implement stepwise regression
• stldecompose — A Python implementation of seasonal trend with Loess (STL) time series decomposition
• stldecomposemod — A Python implementation of seasonal trend with Loess (STL) time series decomposition MODIFIED
• StochasticProcessSimulator — A package for simulating and plotting stochastic processes using discretization of SDEs.
• stock-analyser — Classes for technical analysis of stocks.
• stock-pairs-trading — stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
• stockdatamanager — A comprehensive library for financial analysis
• Stoner — Library to help write data analysis tools for experimental condensed matter physics.
• storm-modules — no summary
• streamad — An anomaly detection package for data streams.
• streaming-anomaly-detection — A pure python implementation of https://github.com/twitter/AnomalyDetection
• strkit — A toolkit for analyzing variation in short(ish) tandem repeats.
• struct-bias — BIAS toolbox: Structural bias detection for continuous optimization algorithms
• structuremap — An open-source Python package of the AlphaPept ecosystem
• student-success-tool — School-agnostic lib for implementing Student Success Tool workflows.
• subcellular-sprawl — Subcellular Patterning Ranked Analysis With Labels
• subgroups — subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.
• subsampwinner — A package for feature selection using Subsampling Winner Algorithm
• sungear — Web based Sungear visualization.
• sunpeek — Large Solar Thermal Monitoring Tool. Implements the Performance Check Method of ISO 24194
• suntm — A Python package for the SUN topic model
• survey-stats — survey_stats a simple and powerfull package for data processing and statistics
• surveyequivalence — Code for calculating survey equivalence
• survshap — Implementation of the SurvSHAP(t) explanation method for time-dependent explainability of machine learning survival models
• susee — suSEE - Energy Monitoring Platform
• svlearn — Utils for ML
• svtools — Tools for processing and analyzing structural variants
• syncontrol — Python package for synthetic control generation and testing
• syne-tune — Distributed Hyperparameter Optimization on SageMaker
• synthdid — Synthdid
• synthimpute — Python package for data synthesis and imputation using parametric and nonparametric methods, and evaluation of these methods.
• syriskmodels — 信用风险模型工具包
• SysTool — Set of high level funcions that optimize our work as transport planners. Should work along with spyder=5.4.4
• tablegpt-agent — no summary
• tableone — tableone is a package for creating 'Table 1' summary statistics for a patient population.
• tablespoon — Simple probabilistic time series benchmark models
• tacco — TACCO: Transfer of Annotations to Cells and their COmbinations
• tad — Twitter's Anomaly Detection Implementation in Python
• take-forecast — This module performs time series forecasting using Kedro pipelines.
• take-icusecases — A clustering based approach to inferring the use case of an intelligent contact. Developed by A3Data, packaged by D&A Research - Take Blip.
• takeusecases — A clustering based approach to inferring the use case of an intelligent contact. Developed by A3Data, packaged by D&A Research - Take Blip.
• talos — Talos Hyperparameter Tuning for Keras
• tapir-rna — Transcriptional Analysis in Python Imported from R
• taplib — Python package to make statistical test and add statistical annotations on plots generated with Plotly
• targeted — Python package for targeted inference.
• taxontabletools — TaxonTableTools - A comprehensive, platform-independent graphical user interface software to explore and visualise DNA metabarcoding data
• tba-pydata — Wrapper for working with the Blue Alliance API in pandas
• tcapy — Tranasction cost analysis library
• tcbench — A ML/DL framework for Traffic Classification
• tealang — Tea: A High-level Language and Runtime System to Automate Statistical Analysis
• tekkare-dev-kit — Interact with OIP ecosystem.
• telemed-sk — Lo scopo di questa libreria è fornire uno strumento completo per il rilascio di modelli predittivi basati su serie temporali nell'ambito della Telemedicina, al fine di supportare la gestione e la pianificazione delle attività sulla Piattaforma Nazionale di Telemedicina (PNT)
• tempodev — Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
• Teneto — Temporal network tools
• tensorflow-empirical-privacy — Tests for empirical privacy.
• tensorflow-ml — Tensorflow ML
• tensorly-viz — Package to visualise component-based decomposition models such as PCA and PARAFAC
• TeremokTSLib — Easy-to-use box ML solution for forcasting consumption
• TEST-TC — Lo scopo di questa libreria è fornire uno strumento completo per il rilascio di modelli predittivi basati su serie temporali nell'ambito della Telemedicina, al fine di supportare la gestione e la pianificazione delle attività sulla Piattaforma Nazionale di Telemedicina (PNT)
• test0313 — no summary
• testhistpackage — tutorial
• Testpycalib-rt — calib_rt
• texpro — Create, view and export LaTeX assets (equations, figures, tables, etc.)