awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
spotify avatar

spotify/chartify

0
View on GitHub↗
3,637 stars·329 forks·Python·Apache-2.0·12 views

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 history

Star history chart for spotify/chartifyStar history chart for spotify/chartify

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to Chartify

Similar open-source projects, ranked by how many features they share with Chartify.
  • pyecharts/pyechartspyecharts avatar

    pyecharts/pyecharts

    15,761View on GitHub↗

    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
    View on GitHub↗15,761
  • matplotlib/matplotlibmatplotlib avatar

    matplotlib/matplotlib

    22,891View on GitHub↗

    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
    View on GitHub↗22,891
  • bokeh/bokehbokeh avatar

    bokeh/bokeh

    20,403View on GitHub↗

    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
    View on GitHub↗20,403
  • glumpy/glumpyglumpy avatar

    glumpy/glumpy

    1,279View on GitHub↗

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

    Python
    View on GitHub↗1,279
See all 30 alternatives to Chartify→

Frequently asked questions

What does spotify/chartify do?

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

What are the main features of spotify/chartify?

The main features of spotify/chartify are: Data Visualization, Python Visualization, Python Visualization Libraries.

What are some open-source alternatives to spotify/chartify?

Open-source alternatives to spotify/chartify include: 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…