Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• cyberlabrat — Contains the classes used for generix data analysis
• cyrius — WGS-based CYP2D6 caller
• cytoflow — Python tools for quantitative, reproducible flow cytometry analysis
• cytopy — Data centric algorithm agnostic cytometry analysis framework
• czsc — 缠中说禅技术分析工具
• Da-Ponz — Da_Ponz crytocurrency trader
• dabest — Data Analysis and Visualization using Bootstrap-Coupled Estimation.
• DAPPkg — Data Analysis Platform package
• darkgreybox — DarkGreyBox: An Open-Source Data-Driven Python Building Thermal Model Inspired By Genetic Algorithms and Machine Learning
• darrow-poc — Proof of concept for twinn-ml-interface with model pipeline for predicting water throughput in ruhr river.
• darts — A python library for easy manipulation and forecasting of time series.
• dash-ag-grid — Dash wrapper around AG Grid, the best interactive data grid for the web.
• DaSPi — Visualize and analyze your data with DaSPi. This package is designed for users who want to find relevant influencing factors in processes and validate improvements.
• data-cleanup — implementation of cleanup data
• data-describe — A Pythonic EDA Accelerator for Data Science
• data-pipeline-ml-caqtl-visualization — ML visualization pipeline for caQTL evaluation
• data-science-common-core — Data Science Common Core
• data-to-paper — data-to-paper: Backward-traceable AI-driven scientific research
• databricks-runtime-python-env — Python dependencies installed on Databricks Runtimes
• datacataloguesystem — This library is used to discover and assign metadata to large unrefined data sets
• datacomp — Systematic comparisons of multiple datasets
• dataframe-statistical-analyzer — The `DataFrame Statistical Analyzer` package provides a utility tool for statistical analyzing in a Pandas DataFrame.
• dataguillm — A package for Exploratory Data Analysis (EDA)
• dataidea — Learn Programming For Data Science
• DataMason — A powerful Python package for data analysis and manipulation.
• datamode — A tool to quickly build data science pipelines
• datanow — DESCRIPTION
• datarobot-ts-helpers — A package with helper scripts for complex DataRobot AutoTS use cases
• datasafari — DataSafari simplifies complex data science tasks into straightforward, powerful one-liners.
• datascan — DESCRIPTION
• datasci — Data science utilities
• DataScienceTools — no summary
• datascienv — Data Science package for setup data science environment in single line
• dataScipy — Python Library for some data-science tasks
• datashop — A collection of handy tools for data science
• datatoolkit — A collection of tools for visualization and data processing for exploratory data analysis
• dataverk-tools — Theming and colors for dataverker and python dataviz
• DataVizML — A package to explore and visualise a dataset in preparation for an ML project
• datawaza — Datawaza is a collection of tools for data exploration, visualization, data cleaning, pipeline creation, model iteration, and evaluation.
• dats-lab — Data Science Utilities & Helpers
• datto — Data Tools (Dat To)
• datupapi — Utility library to support Datup AI MLOps processes
• dawgdad — Tools for machine learning, automation, statistics, graphics
• dcapy — Oil and Gas DCA Workflows
• dcdftbmd-tools — A Toolkit for handling DCDFTBMD input/output
• dclustval — A package for performing dense cluster validation
• dcurves — A Python package for Decision Curve Analysis to evaluate prediction models, molecular markers, and diagnostic tests. For RELEASE NOTES, check: https://github.com/MSKCC-Epi-Bio/dcurves/blob/main/docs/CHANGELOG.md
• ddmtools — A Python library for doing differential dynamic microscopy on polydisperse samples
• ddop2 — Restructuring of ddop
• ddsmoothing-python — Data-dependent smoothing Python package
• de-toolkit — Suite of tools for working with count data
• deampy — Decision analysis in medicine and public health
• Debias-Infer — Efficient Inference on High-Dimensional Linear Models With Missing Outcomes
• decisiveml — no summary
• decorrelator — Easy-to-use Bayesian full and partial correlation estimator
• deep-xf — DEEPXF - An open-source, low-code explainable forecasting and nowcasting library with state-of-the-art deep neural networks and Dynamic Factor Model. Now available with additional addons like Denoising TS signals with ensembling of filters, TS signal similarity test with Siamese Neural Networks
• deepchecks — Package for validating your machine learning model and data
• deepdow — Portfolio optimization with deep learning
• deepehrgraph — no summary
• deeplabcut — Markerless pose-estimation of user-defined features with deep learning
• deeplabcutcore — Headless DeepLabCut
• DeepRetail — Forecasting package for retail using Deep Learning AI.
• DeepSomaticCopy — Copy number calling on single cell DNA sequencing data
• DeepTalk-ST — Cell-cell communication prediction for ST data
• DeliberativePolling — A package for analyzing survey data from Deliberative Polling experiments.
• depro — a package for Decomposition of Profile Data
• Dero — Nick DeRobertis Personal Library
• desc-stats — Descriptive Statistics comprises of Measures of Central Tendency, Dispersion, Symmetry, Association, Normal Distribution, Misc.
• descartes-rpa — descartes_rpa: Extract pathway features from Single-Cell
• describer-ml — A set of descriptive statistics and hypothesis tests
• deseqpyodide — no summary
• designer2 — designerV2
• DesmoothForecaster — Leveraging smoothing techniques to enhance time-series forecasting for difficult time-series data
• detidelevel — Functions to remove tidal signals from surface water levels
• detritalpy — A Python-based toolset for visualizing and analyzing detrital geo-thermochronologic data
• dexom-python — DEXOM implementation in python using cobrapy
• dfds-ds-toolbox — A toolbox for data science
• dfmdash — Repository for Covid-19 Dynamic Factor Model
• DHCstat — DHC Python tool that automatically analysis.
• diapysef — Analysis, conversion and visualization of diaPASEF data.
• didipack — Usefull time saver for data-science and finance with python
• DiffDomain-py3 — DiffDomain can test the significant difference of TADs on chromatin.
• differences — difference-in-differences estimation and inference in Python
• diffxpy — Fast and scalable differential expression analysis on single-cell RNA-seq data
• dimet — A tool for Differential analysis of Isotope-labeled targeted Metabolomics data
• dimopy — 描述信息
• direpack — A Python 3 Library for State-of-the-Art Statistical Dimension Reduction Methods
• dirty_cat — Machine learning with dirty categories.
• dirtydf — A package to dirty datasets
• discrimintools — Python package dedicated to Discriminant Analysis (DA) distributed under the MIT License
• disease-classifier — A disease classifier based on iPAC images.
• dismalpy — DismalPy: a collection of resources for quantitative economics in Python.
• distfeatselect — A Pyhton package implementing distributed feature selection algorithm.
• distfit — distfit is a python library for probability density fitting.
• divergence — Information Theoretic Measures of Entropy and Divergence
• diverse_seq — diverse_seq: a tool for sampling diverse biological sequences
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dlmhelper — This package includes functions and custom data types to help with performing dynamic linear model fits and analyzing the results.
• dms2dfe — Pipeline to analyse Deep Mutational Scanning (DMS) experiments in terms of Distribution of Fitness Effects (DFE)
• DNBC4-test — DNBC4 scRNA QC