Reverse Dependencies of statsmodels

The following projects have a declared dependency on statsmodels:

• MtbTk — MtbTk: Genomics Analysis Toolkit for Mycobacterium Tuberculosis.
• mugq — DESCRIPTION
• muldoon — A package for sifting meteorological data to look for and analyze vortex encounters
• multicopula — Multivariate probability distributions using copula theory.
• MultiDataPlotting — A package for plotting multiple datasets
• multidst — no summary
• multimedeval — A Python tool to evaluate the performance of VLM on the medical domain.
• multiple-inference — A statistics package for comparing multiple parameters.
• multisoc — A package to simulate and analyze networks with multidimensional interactions.
• multivis — MultiVis is a data visualisation package that produces both static and interactive visualisations targeted towards the Omics community.
• mustache-hic — Mustache is a Hi-C analysis tool
• mutagene — Mutational analysis with Python
• mutation_motif — mutation_motif, software for naalyses of point mutations, see https://www.ncbi.nlm.nih.gov/pubmed/27974498
• muvi — MuVI: A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
• mvbep — Measurement and Verification Building Energy Prediction (MVBEP) is an open-source framework for developing data-driven models for predicting the building baseline energy consumption and estimating savings associated with retrofitting in the post-retrofit period.
• mvSPC — Plug and play statistical process control functions for Python
• mydstools — Data Science Toolbox
• myeventstudy — Python package for event study analysis
• myinternshipcalculator2024 — A simple internship hours calculator.
• nabo — Python library to perform memory efficient cross-sample cell mapping using single cell transciptomics (scRNA-Seq) data
• nanocompore — Software package that identifies raw signal changes between two conditions from https://github.com/jts/nanopolish resquiggled dRNA-Seq data.
• nanome-jax — NANOME (Nanopore methylation) pipeline developed by Li Lab at The Jackson Laboratory
• nanoscipy — A package containing compiled functions, to make data-handling and -analysis easier.
• napari-brainways — Brainways
• napari-metroid — This napari plugin creates several regions of interest of similar area over cells in a fluorescence video (2D+time). It then gets ROIs means over time and performs signal denoising: fixes photobleaching and separates signal from noise by means of blind source separation (with or without wavelet filtering).
• napatrackmater — Import Trackmate XML files for Track Visualization and analysis in Napari.
• naplib — Tools and functions for neural data processing and analysis in python
• naszilla — python framework for NAS algorithms on benchmark search spaces
• navicat-spock — Volcano Plot fitting tool
• nctpy — Python implementation of concepts from network control theory
• nemos — NEural MOdelS, a statistical modeling framework for neuroscience.
• neptune-automate — Machine Learning automation module
• neptune-prophet — Neptune.ai Prophet integration library
• neptyne-kernel — The Neptyne kernel
• NetAnalyzer — Python package for network analysis, operations and priorization.
• netcoloc — no summary
• neteval — Package for standardization and evaluation of biological networks
• NetLogoDOE — NetLogoDOE provides a GUI that allows for easy design, execution and analysis of NetLogo experiments
• network-spatial-coherence — Network Validation using the Spatial Coherence Framework.
• networksns — Complex Network library
• netZooPy — Python implementation of netZoo
• neuralstockprophet — LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting.
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• neurojit — A Python package for calculating the commit understandability features of Java projects.
• neuropsydia — A Python Module for Creating Experiments, Tasks and Questionnaires.
• neurosum — Runs a statistical summary for electrophysiology data.
• newstrends — Tools for modeling news
• nextstep — USEP price prediction
• ngs-toolkit — A toolkit for NGS analysis with Python.
• ngsfragments — Python package for Next Generation Sequencing fragment manipulation
• nicaviz — Python Visualization Package
• NiChart-Viewer — Viewer to visualize neuroimaging chart (NiChart) image descriptors and biomarkers
• NiChartHarmonize — Harmonization tools for multi-center neuroimaging studies.
• nidmd — Dynamic Mode Decomposition of time-series fMRI
• nightingale — Python library for simplifying statistical analysis and making it more consistent
• nima — Numerical IMage Analyses.
• NiMARE — NiMARE: Neuroimaging Meta-Analysis Research Environment
• njab — not Just Another Biomarker
• nlntest — A Package for nonlinearity test of nuivariate and multivariate time series
• nlpaf — Implementation of different NLP tools.
• NMFProfiler — NMFProfiler: an integrative supervised Non-Negative Matrix Factorization to extract typical profiles of groups of interest combining two different datasets.
• nnetsauce — Quasi-randomized (neural) networks
• nolanm-portfolio-package — no summary
• NonlinTest — Package for nonlinearity test of nuivariate and multivariate time series
• normet — normet: NORmalising METeorology on air quality
• northgravity-utils — Python Utils for NorthGravity platform tasks
• nostredame — forecasts
• nPYc — National Phenome Centre toolbox
• npyx — Python routines dealing with Neuropixels data.
• NREL-jade — Provides HPC workflow automation services
• nrpcalc — Non-Repetitive Parts Calculator - Automated design and discovery of non-repetitive genetic parts for engineering stable genetic systems
• ntrfc — Numerical Test Rig for Cascades. A workflows-library for CFD analysis of cascade-flows
• nullsweep — A comprehensive Python package for managing and analyzing missing data in pandas DataFrames, starting with detection and expanding to complete handling.
• nullval — A package for the treatment of nullvalues and outliers in your data set using various mathematical approaches
• num-fh — numeric fused-head identification and resolution
• oceanAlgorithmPrivate — PYPI ocean Algorithm private file written by Terry
• octavvs — Open Chemometrics Toolkit for Analysis and Visualization of Vibrational Spectroscopy data
• ODAMNet — Study molecular relationships between chemicals and rare diseases
• odin-pkg-rioatmadja2018 — Python wheel Keras wrapper for forecasting timeseries
• odmammogram — Outlier Detection for Mammograms (ODM) is a Python package for medical image analysis...
• ogidn — Indonesia (IDN) Calibration for OG-Core
• ogphl — Philippines Calibration for OG-Core
• ogusa — USA calibration for OG-Core
• ogzaf — South Africa Calibration for OG-Core
• okrolearn — A machine learning library created by Okerew, which is supposed to be a raw implementation of combining pytorch with scikit-learn
• oligopoolio — no summary
• olscheck — A library to check OLS assumptions.
• olspow — Python package for conducting power analysis given ratio metrics, clustered data, and covariate adjustment.
• omdenalore — AI for Good library
• OmicsAnalysis — General omics data analysis tools
• omicscope — OmicScope: from quantitative proteomics to systems biology.
• omicsone-diff — OmicsOneDiff: do differential expression analysis on two groups
• omicspylib — A python library for omics data analysis
• omicverse — OmicVerse: A single pipeline for exploring the entire transcriptome universe
• omni-python-sdk — A Python SDK for Omni API
• omniclip — no summary
• omniplate — For analysing and meta-analysing plate-reader data
• omniplot — To draw scientific plots easily
• omnixai — OmniXAI: An Explainable AI Toolbox
• omnixai-community — OmniXAI: An Explainable AI Toolbox