Reverse Dependencies of plotnine

The following projects have a declared dependency on plotnine:

• orf — orf package implements the Ordered Forest estimator for random forest estimation of the ordered choice models.
• osgpy — Python utilities of the Operating System Group
• p9hsci — HSCI theme for plotnine
• paintnine — Make lovely art with plotnine
• pandaslearn — `pandaslearn` is a small wrapper on top of `scikit-learn` to automate common modeling tasks.
• pandots — Pangenome dotplot
• patchworklib — patchwork for matplotlib
• pbcluster — Analyze particle clusters in boxes with periodic boundaries
• pedroai — no summary
• pericode-fork — no summary
• PerturbNet — PerturbNet
• pie — Colony recognition and growth measurement for microbial imaging
• pilotpy — PILOT: Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
• plauthor — Plauthor: Machine Learning Focused Interface for Dataframe-related Visualizations
• plotnine — A Grammar of Graphics for Python
• plotnine-prism — Prism themes for plotnine, inspired by ggprism
• plotnine3d — 3D geoms for plotnine (grammar of graphics in Python)
• plotnineseqsuite — A Python package for visualizing sequence data using ggplot2 style
• plotseg — Plotting tool for brain atlases, in Python.
• polygenic — Polygenic score toolkit
• ponyo — Install functions to simulate gene expression compendia
• power-ranker — Fantasy football power rankings for public ESPN leagues
• ppqueue — A Parallel Process Queue for Python.
• pybbda — Baseball data and analysis in Python
• pygradethis — Python autograder to facilitate code output and static code checking.
• pyIMD — Inertial mass determination
• PyMHSS — no summary
• pyreft — REFT: Representation Finetuning for Language Models
• pyspread — Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python.
• pyssed — The Mixture Adaptive Design (MAD): An experimental design for anytime-valid causal inference on Multi-Armed Bandits.
• pytimetk — The time series toolkit for Python.
• pyvene — Use Activation Intervention to Interpret Causal Mechanism of Model
• quasildr — quasilinear representation methods for single-cellomics data
• rddensity — Mainpulation testing based on Density Discontinuity
• rdrobust — Implements local polynomial Regression Discontinuity (RD) point estimators with robust bias-corrected confidence intervals and inference procedures.
• robynpy — Robyn: Continuous & Semi-Automated MMM. The Open Source Marketing Mix Model Package from Meta Marketing Science
• rwskit — Utility methods I've found useful.
• sailor — Easily access data from your SAP Digital Supply Chain software products for data science projects like predictive maintenance or master data analysis.
• sc-dandelion — sc-TCR/BCR-seq analysis tool
• scib-metrics — Accelerated and Python-only scIB metrics
• scientistmetrics — Python package for metrics and scoring : quantifying the quality of predictions
• scientistshiny — Python library to easily improve multivariate Exploratory Data Analysis graphs
• scientisttools — Python library for multidimensional analysis, classification - clustering analysis and multidimensional analysis
• scientisttseries — Python library for times series
• scikit-blocks — no summary
• scikit-fairness — a collection of utilities to make algorithms more fair
• sciterra — Scientific literature data exploration analysis
• scpi-pkg — The package computes point estimates and prediction intervals for Synthetic Control methods with multiple treated units and staggered adoption as proposed in Cattaneo, Feng, Palomba, and Titiunik (2024).
• scvi-tools — Deep probabilistic analysis of single-cell omics data.
• sdcpy — Scale Dependent Correlation in Python
• shiny — A web development framework for Python.
• siuba — A package for quick, scrappy analyses with pandas and SQL
• sntn — Sum of a normal and a truncated Normal (SNTN)
• SpaGFT — SpaGFT is a python package to analyze spatial transcriptomcs data
• sparsity-generator — A Python package to calculate and draw sparsity from deep learning models.
• spherpro — Tool to analize tumor spheroid data
• STACCI — STACCI for STCase
• STCase — Spatial Transcriptomics cell-cell Communication and subtype exploration
• stglance — stglance is a small collection of streamlit widgets (for machine learning) that you can include in your streamlit app.
• stravavis — Create artistic visualisations with your exercise data
• switch-model — Switch Power System Planning Model
• tfjeeves — Utilities to help train models with tensorflow2 and keras
• theme-eliiza — ggplot theme for eliiza graphics
• tidyms — Tools for working with MS data in metabolomics
• tidyplots-python — A Python implementation of R's tidyplots for creating publication-ready plots
• tidyverse — no summary
• tipyverse — A package to install Python equivalents of R tipyverse packages
• tools4sci — Utility functions for quantitative analysis in science.
• transport-energy — no summary
• tsextract — Time series data preprocessing
• tspydistributions — Location Scale Family Statistical Distributions
• uplot — A toolkit for executing and analyzing machine learning classification
• vasim — Vertical Autoscaler Simulator Toolkit
• vivs — Calibrated Variational Inference for single-cell omics.
• wax-ml — A Python library for machine-learning and feedback loops on streaming data
• xgboostlss — XGBoostLSS - An extension of XGBoost to probabilistic modelling.