Reverse Dependencies of statsmodels
The following projects have a declared dependency on statsmodels:
- copulae — Python copulae library for dependency modelling
- CorALS — CorALS is an open-source software package for the construction and analysis of large-scale correlation networks for high-dimensional data.
- corncob — beta-binomial based testing of count data
- corr-shap — This package is an extension of the KernelExplainer of shap package that explains the output of any machine learning model, taking into account dependencies between features.
- cosmoabc — Python ABC sampler
- cospar — CoSpar: integrating state and lineage information for dynamic inference
- coss — Python tools for spatial interpolation
- counhto — Python package for generating and demultiplexing hash tag oligo count matrices from cellranger output
- covasim — COVID-19 Agent-based Simulator
- CoVEMDA — CoronaVirus - Electricity Market Data Analyzer (CoVEMDA)
- cppquant — Simple tool to compare cpp quant results
- cpsplines — Constrained P-splines
- cptac — Python packaging for CPTAC data
- CRADLE — Correct Read Counts and Analysis of Differently Expressed Regions
- creditPortfolioAnalytics — A Python powered library for calculating semi-analytic credit portfolio loss metrics
- creditpy — A package for credit scoring analysis
- credoai-lens — Lens: comprehensive assessment framework for AI systems
- crim-intervals — CRIM intervals package
- crispector2 — CRISPECTOR2 - Genome Editing Analysis Tool, with allele extension
- crispr-bean — Base Editor screen analysis [Bayesian Estimation of variant effect] with guide Activity Normalization
- crispr-chronos — Time series modeling of CRISPR perturbation readcounts in biological data
- crowdnalysis — Library to help analyze crowdsourcing results
- CrypticPhenoImpute — Imputes cryptic phenotypes analyzed in Blair et al. into arbitrary clinical datasets.
- crypto-strategy — Repo to create crypto strategies
- cryptodatapy — Cryptoasset data library
- cs1 — Compressed Sensing library for 1D Spectroscopic Profiling Data
- cs107-team31-2023 — An API for interfacing with the Sloan Digital Sky Survey
- CTDFjorder — A package for processing and analyzing CTD data.
- cubat — CUBAT -- CUB Analysis Toolkit
- cumulative — Manipulation and analysis of data series collections
- CureQ — Library for analyzing MEA files.
- curve-curator — CurveCurator is an open-source analysis platform for any dose-dependent data. It fits a classical 4-parameter equation to estimate effect potency, effect size, and the statistical significance of the observed response. 2D-thresholding efficiently reduces false positives in high-throughput experiments and separates relevant from irrelevant or insignificant hits in an automated and unbiased manner. An interactive dashboard allows users to quickly explore data locally.
- cvrmap — CVRmap is an opensource software to compute maps of Cerebro-Vascular Reactivity
- cwas — Category-wide association study (CWAS). This is a data analytic tool to perform stringent association tests to find non-coding loci associated with autism spectrum disorder (ASD).
- 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.
- DAJIN2 — One-step genotyping tools for targeted long-read sequencing
- 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.
- data-cleanup — implementation of cleanup data
- data-describe — A Pythonic EDA Accelerator for Data Science
- data-science-common-core — Data Science Common Core
- datacataloguesystem — This library is used to discover and assign metadata to large unrefined data sets
- datacomp — Systematic comparisons of multiple datasets
- dataidea — Package to ease data analysis for DATAIDEA students
- DataMason — A powerful Python package for data analysis and manipulation.
- datamode — A tool to quickly build data science pipelines
- datarobot-ts-helpers — A package with helper scripts for complex DataRobot AutoTS use cases
- 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
- 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 RELEASE.md here: https://github.com/MSKCC-Epi-Bio/dcurves/RELEASE.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
- deepof — no summary
- 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
- 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
- DHCstat — DHC Python tool that automatically analysis.