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Tags / Data science /

Chart library

A library that draws charts or plots from data, in a browser, an app, or a notebook; not a dashboard application.

Repositories

80

Net stars gained, last 7 days

+1,829

Top-level Tag

Data science

Net stars gained each day, last 90 days

2026-10-18: +942 net stars. Most from AhmadHassan-BTed/Jantt, +863.2026-10-19: +699 net stars. Most from AhmadHassan-BTed/Jantt, +592.2026-10-20: +727 net stars. Most from AhmadHassan-BTed/Jantt, +623.2026-10-21: +752 net stars. Most from AhmadHassan-BTed/Jantt, +652.2026-10-22: +545 net stars. Most from AhmadHassan-BTed/Jantt, +460.

Peak days

  1. 1

    Oct 18, 2026 +942 net stars (median day +112)

  2. 2

    Oct 19, 2026 +699 net stars (median day +112)

  3. 3

    Oct 20, 2026 +727 net stars (median day +112)

  4. 4

    Oct 21, 2026 +752 net stars (median day +112)

  5. 5

    Oct 22, 2026 +545 net stars (median day +112)

A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.

Largest

Most stars in total now.

  1. d3/d3114K

    readme: a free, open-source JavaScript library for visualizing data

  2. readme: Simple yet flexible JavaScript charting for designers & developers

  3. description: Apache ECharts is a powerful, interactive charting and data visualization library for browser

  4. description: A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts

  5. description: Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.

  6. readme: The main purpose of this library is to help you to write charts in React applications without any pain.

  7. readme: Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

  8. readme: This collection of components lets you easily build your own reusable visualization charts or library without having to learn d3.

  9. readme: Bokeh is an interactive visualization library for modern web browsers.

  10. readme: plotly.py is an interactive, open-source, and browser-based graphing library for Python :sparkles:

Newest Admissions

Entered the index by the rising rule, newest first.

  1. readme: Turn any declarative JSON document into a high-performance, interactive, draggable Gantt chart.

All 80 in the Repository Index

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