Reverse Dependencies of seaborn

The following projects have a declared dependency on seaborn:

• wgcna — WGCNA in Python. Fast.
• wgcpy — Data analysis and PMML model framework!
• whampy — Python Package to Interact with, Visualize, and Analyze the Wisconsin H-Alpha Mapper - Sky Survey
• WhatsApp-Analyzer — Basic Version library
• whatsapp-chat-analyze — Ingest and analyze WhatsApp chat data, and plot beautiful visualizations.
• whatsapp-groupchat-analyzer — A Python package for analyzing WhatsApp group chats.
• WhatsappInspect — A simple package for letting user to track and analyze all the exported whatsapp chat data for differnt usage
• wheeltennis — Basic scripts for wheelchair tennis analysis
• whiffle-client — Python based web client to interact with Whiffle services
• whiteboxml — Fancy data functions that will make your life as a data scientist easier.
• widefield-analysis — no summary
• WigglyRivers — Exploring the multiscale meandering characteristics of river transects
• wiizin-plots — Fast EDA plots
• wikinetworks — A user-friendly Python package to process pathways from the WikiPathways database into machine-readable network representations.
• wikipedia_tools — This is a Wikipedia Tool to fetch revisions based on a period of time.
• wikirec — Recommendation engine framework based on Wikipedia data
• wing — Utility functions for data science
• wishbone-dev — Wishbone algorithm for identifying bifurcating trajectories from single-cell data
• witcher — Automated AI tool including: recommender system, deep Learnings ...
• wiutils — Exploration utilities for Wildlife Insights projects.
• wke — no summary
• wmbook — Templete of wmbook
• woe-credit-scoring — Tools for creating credit scoring models
• wolfeutils — Utilities for Wolfe Lab
• wordpca — Principal Component Analysis adequate for bag of words representation
• wordtm — Topic Modeling Package
• workflow-uva — A workflow for Canvas and Nbgrader
• workforcerappi — no summary
• workforcesim — Synaptans WorkforceSim is a free open-source web app for simulating the complex dynamics of a factory workforce – including workers’ daily job performance, personal interactions with their peers and supervisors, and attrition. The simulated activity is analyzed visually and outputted in a CSV file whose format is designed for use with predictive analytics packages like Comport_AI.
• worldmap — worldmap is to plot and color countries or specific regions in a country using offline approaches.
• wpdm3333 — Warsztat Praktyka Data Mining
• wqio — wqio: Water Quality Inflow/Outflow
• wrangl — Parallel data preprocessing for NLP and ML.
• wraplorenzmie — A package to easely fit movies using pylorenzmie.
• wrongbutusefulsbi — no summary
• wsingular — Wasserstein Singular Vectors
• wsmf — Package with encoder-based approaches to warm-starting Bayesian Hyperparameter Optimization.
• wtlike — Time-dependent analysis of point sources in Fermi-LAT data
• wutils — A collection of useful functions/classes for data analysis and ML.
• wvu — Simple utilities for teaching Pandas and scikit learn.
• wzyFunc — My Python Package
• x-goals — X-Goals package. Generated with cookiercutter-pylibrary using the command line cookiecutter gh:ionelmc/cookiecutter-pylibrary
• xai-compare — This repository aims to provide tools for comparing different explainability methods, enhancing the interpretation of machine learning models.
• XaI-Ensemble-VOCs-API — A library for do the explaination of data using a new ensenble of XAI methods
• xai-metrics — A package for analysis and evaluating metrics for Explainable AI (XAI)
• XAISuite — XAISuite: Training and Explanation Generation Utilities for Machine Learning Models
• xaiz — Explainable Artificial Intelligence (XAI) Library
• Xana — Analysis software for XPCS, XSVS and SAXS data.
• xarray — N-D labeled arrays and datasets in Python
• xash — Data Science, Data Analysis, Plotting, ...
• XBBO — A Python toolbox for performing Black-Box Optimization.
• xbinary-classifier — no summary
• xcube — Extreme Multi-Label Text Classification
• xdart — A pyFAI based GUI utility to rebin and visualize X-ray Diffraction data
• xenonpy — material descriptor library
• xeofs — Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
• XeroGraph — A Python implementation of Little's MCAR test, MAR vs MNAR analysis, missing value visualization and imputation
• XeroML — A data management platform
• xform — Library for transforming data
• xgboostlss — XGBoostLSS - An extension of XGBoost to probabilistic modelling.
• xgbsearch — An implementation of grid search, random search for XGBoost with eval_set and early stopping support.
• XGenTS — An eXplainable framework for Generative Time Series in Python
• XGI — XGI is a Python package for higher-order networks.
• xiRT — xiRT: Multi-dimensional Retention Time Prediction for Linear and Crosslinked Peptides.
• xiutilities — A collection of corss-link mass spectrometry tools.
• xiwa-modules — xiwa modules for tool creator
• xLSTM — A novel LSTM variant with promising performance compared to Transformers or State Space Models.
• XlsxPandasFormatter — XlsxPandasFormatter
• xlutil — Excel utilities for easier workflow when dealing with dataframes and excel files
• xn-ultralytics — This is a public fork of Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. Free for anyone to use, for non-commercial purposes.
• xomics — Python framework for eXplainable Omics analysis
• xonv — xonv: Extended convolutional layers
• XPER — XPER (eXplainable PERformance) is a methodology designed
• xplainable — Real-time explainable machine learning for business optimisation
• XplainML — XplainML is a comprehensive Python package designed for Explainable AI (XAI) and Responsible AI practices. It provides a suite of tools and algorithms to enhance the transparency, interpretability, and fairness of machine learning models.
• xplotter — Explore visual insights from data in an easy and intituitive way with few lines of code.
• xputer — An XGBoost powered robust imputer
• XQuantiPy — Module for financial analysis
• xregi — A package for automatic 2D/3D registration of X-ray and CT images
• xron — A deep neural network basecaller for nanopore sequencing.
• xsc — xsc
• xswem — A simple and explainable deep learning model for NLP.
• xtlib — A set of tools for organizing and scaling ML experiments
• xtract-nlp — A tool to process codebases, generate embeddings for code chunks, and query code snippets using natural language models like CodeBERT.
• xypy — A simulation framework for supervised learning data. The functionalities are specifically designed to let the user a maximum degrees of freedom, to ultimately fulfill the research purpose. Furthermore, feature importances of the simulation can be created on a local and a global level. This is particular interesting, for instance, to benchmark feature selection algorithms.
• xyt — xyt is a python package for processing raw gps data into mobility data. xyt offers privacy-based capabilities and aims to provide a plug-and-play pipeline to leverage gps data.
• y5facegg — Packaged version of the Yolov5 facial landmark detector
• y5gg — Packaged version of the Yolov5 object detector
• yamllm-core — YAML-based LLM configuration and execution
• yamlu — yet another machine learning utility library
• yarllib — Yet Another Reinforcement Learning Library
• YCSAI — AI Training API developed by SphereAX.
• yctmodel — ModelSelector automates ensemble creation, added AutoTuner.
• ydata-profiling — Generate profile report for pandas DataFrame
• ydata-profiling-infoworks — Generate profile report for pandas DataFrame
• ydata-profiling-snowpark — Generate profile report for pandas DataFrame in Snowpark
• ydata-profiling-thorrester — Generate profile report for pandas DataFrame
• ydata-sdk — YData allows to use the *Data-Centric* tools from the YData ecosystem to accelerate AI development
• ydne — A collection of data utilities
• yescarpenter — A library providing frequently used functions in data analysis for YESlab members and other researchers