leeoniya

    leeoniya/uPlot

    #563 this week

    πŸ“ˆ A small, fast chart for time series, lines, areas, ohlc & bars

    analytics
    data-engineering
    chart
    charts
    data-visualization
    graph
    graphs
    JavaScript
    MIT
    10.6K stars
    467 forks
    10.6K GitHub watchers
    Updated Oct 22, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #563 of 2,794 repositories GStars tracks this week (top 20%).

    No releases in the last 90 days; the most recent was 587 days ago, with 52 contributors on GitHub.

    Gained 6% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • A small, fast JavaScript charting library for rendering time series, lines, areas, OHLC, and bar charts using Canvas 2D.
    • Delivers exceptional performance with minimal memory usage and fast rendering, outperforming many Canvas-based alternatives without relying on WebGL or WASM.
    • Use for building high-performance, interactive financial charts with OHLC and bar visualizations in web applications.
    • Use for streaming and live-updating large time series datasets at 60fps with low CPU and memory overhead.
    • Use for embedding lightweight, multi-series charts with zoom, multiple axes, and timezone support in analytics dashboards.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    A small (~50 KB min), fast chart for time series, lines, areas, ohlc & bars (MIT Licensed)

    uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at ~100,000 pts/ms afterwards. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~50 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size.

    Excerpt from the leeoniya/uPlot README on GitHub (MIT license). Β© its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    467+6

    Open issues

    133-16

    Compared with peers in Analytics

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

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