awesome-repositories.com
博客
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目关于排名机制媒体报道MCP 服务器
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
spotify avatar

spotify/chartify

0
View on GitHub↗
3,637 星标·329 分支·Python·Apache-2.0·1 次浏览

Chartify

Python library that makes it easy for data scientists to create charts.

Features

  • Data Visualization - Simplified plotting library for data science workflows.
  • Data Visualization - Easy-to-use charting library for data scientists.
  • Python Visualization - Bokeh wrapper designed for data scientists.
  • Python Visualization Libraries - Bokeh wrapper designed for simplified data science charting.

Star 历史

spotify/chartify 的 Star 历史图表spotify/chartify 的 Star 历史图表

AI 搜索

探索更多 awesome 仓库

用简单的语言描述您的需求 —— AI 将根据相关性为您从数千个精选开源项目中进行排序。

Start searching with AI

Chartify 的开源替代方案

相似的开源项目,按与 Chartify 的功能重合度排序。
  • pyecharts/pyechartspyecharts 的头像

    pyecharts/pyecharts

    15,761在 GitHub 上查看↗

    pyecharts 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
    在 GitHub 上查看↗15,761
  • matplotlib/matplotlibmatplotlib 的头像

    matplotlib/matplotlib

    22,891在 GitHub 上查看↗

    Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures and charts from numerical data. It serves as a numerical graphics library and data visualization toolkit for mapping data to visual elements. The library provides capabilities for producing static, animated, and interactive visualizations. This includes creating high-resolution figures for professional documents, generating moving graphics to illustrate data evolution over time, and building dynamic plots for interactive data exploration. The toolkit supports scientific plott

    Pythondata-sciencedata-visualizationgtk
    在 GitHub 上查看↗22,891
  • bokeh/bokehbokeh 的头像

    bokeh/bokeh

    20,403在 GitHub 上查看↗

    Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

    TypeScriptbokehdata-visualisationinteractive-plots
    在 GitHub 上查看↗20,403
  • glumpy/glumpyglumpy 的头像

    glumpy/glumpy

    1,279在 GitHub 上查看↗

    Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

    Python
    在 GitHub 上查看↗1,279
查看 Chartify 的所有 30 个替代方案→

常见问题解答

spotify/chartify 是做什么的?

Python library that makes it easy for data scientists to create charts.

spotify/chartify 的主要功能有哪些?

spotify/chartify 的主要功能包括:Data Visualization, Python Visualization, Python Visualization Libraries。

spotify/chartify 有哪些开源替代品?

spotify/chartify 的开源替代品包括: pyecharts/pyecharts — pyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data… bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… matplotlib/matplotlib — Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures… nicohlr/ipychart — The power of Chart.js with Python. glumpy/glumpy — Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization. residentmario/missingno — missingno is a Python library for the visualization and analysis of missing data patterns. It provides a set of tools…