10 repositorios
Awesome GitHub RepositoriesPython Visualization Libraries
Libraries for statistical, scientific, and interactive plotting in Python.
Explore 10 awesome GitHub repositories matching part of an awesome list · Python Visualization Libraries. Refine with filters or upvote what's useful.
Awesome Python Visualization Libraries GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- pyecharts/pyecharts
pyecharts/pyecharts
15,761Ver en GitHubpyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data and configurations into JSON specifications to generate interactive web-based charts and graphs. The library provides specialized capabilities for geographic data mapping using a comprehensive library of map assets to visualize spatial information. It also includes utilities to capture rasterized snapshots of rendered web visualizations for export as static image files. The tool supports rendering interactive plots directly within data science notebook environments and exporti
Python bindings for the ECharts library.
Python - pandas-profiling/pandas-profiling
pandas-profiling/pandas-profiling
13,609Ver en GitHubThis project is an exploratory data analysis library and profiling tool for Pandas and Spark DataFrames. It automates the initial investigation of datasets by generating comprehensive descriptive analysis reports, statistical summaries, and data quality warnings. The system functions as a data quality profiler to detect missing values, duplicate rows, and type inconsistencies. It includes a dataset comparison tool for identifying structural and content shifts between different versions of the same data, as well as specialized tools for time-series analysis to calculate auto-correlation and se
Generates statistical reports and visualizations for data analysis.
Python - residentmario/missingno
ResidentMario/missingno
4,209Ver en GitHubmissingno es una biblioteca de Python para la visualización y el análisis de patrones de datos faltantes. Proporciona un conjunto de herramientas para perfilar la integridad de los conjuntos de datos, mapear brechas de datos y cuantificar el volumen de valores nulos en todas las variables. La biblioteca se diferencia por un analizador de correlación de nulidad y una herramienta de clustering jerárquico de datos. Estos componentes permiten la detección de dependencias y tendencias sistémicas midiendo cómo la ausencia de una variable se relaciona con la ausencia de otra. El conjunto de herramientas cubre capacidades más amplias de auditoría de calidad de datos y análisis exploratorio. Incluye funciones para el resumen de nulidad de columnas utilizando escalas lineales y logarítmicas, así como mapeo basado en matrices para identificar brechas sistémicas en los registros.
Visualization utilities for checking dataset completeness.
Pythondata-analysisdata-visualizationmissing-data - yhat/ggpy
yhat/ggpy
3,691Ver en GitHubggplot port for python
Plotting system modeled after R's ggplot2.
Python - spotify/chartify
spotify/chartify
3,637Ver en GitHubPython library that makes it easy for data scientists to create charts.
Bokeh wrapper designed for simplified data science charting.
Python - glumpy/glumpy
glumpy/glumpy
1,279Ver en GitHubPython+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
OpenGL-based library for scientific visualizations.
Python - heremaps/pptk
heremaps/pptk
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Tool for visualizing and working with 2D/3D point clouds.
C++ - tehmaze/diagram
tehmaze/diagram
Text mode diagrams using UTF-8 characters and fancy colors
Tool for generating text-based diagrams using UTF-8.
Python - nicohlr/ipychart
nicohlr/ipychart
The power of Chart.js with Python
Jupyter Notebook integration for Chart.js.
Python - stemkoski/three.py
stemkoski/three.py
Python 3D library.
3D library for Python based on PyOpenGL.
Python
