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leeoniya
uPlot
JavaScript2019–2026
leeoniya / uPlot

uPlot

📈 A small, fast chart for time series, lines, areas, ohlc & bars

13Distinct people
38Mentions
0Explicit recommenders
10.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

📈 A small, fast chart for time series, lines, areas, ohlc & bars

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:01:40 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year38 dated mentions

Observed mentions: 2019-10-06 16:56:26 UTC to 2026-04-09 23:32:50 UTC.

0510152019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 13 mentions; 1 submissions, 12 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC716
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC13112
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC505
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC303
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC211
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC303
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC404

What Hacker News says

4 sources
Intentionally not edited to add: Why are you using minified dependencies (like uPlot.iife.min.js[1] and uPlot.min.css[2]) for a desktop application? uPlot is also open source (released by Sorokin under MIT), but why aren't you following the terms of its license[3]? 1. <https://github.com/obdev/littlesnitch-linux/blob/main/webroo...> 2. <https://github.com/obdev/littlesnitch-linux/blob/main/webroo...> 3. <https://github.com/leeoniya/uPlot/blob/master/LICENSE>
In LittleSnitch for Linux
uPlot maintainer here. this looks interesting, i'll do a deeper dive soon :) some notes from a very brief look at the 1M demo: - sampling has a risk of eliminating important peaks, uPlot does not do it, so for apples-to-apples perf comparison you have to turn that off. see https://github.com/leeoniya/uPlot/pull/1025 for more details on the drawbacks of LTTB - when doing nothing / idle, there is significant cpu being used, while canvas-based solutions will use zero cpu when the chart is not actively being updated (with new data or scale limits). i think this can probably be resolved in the WebGPU case with some additional code that pauses the updates. - creating multiple charts on the same page with GL (e.g. dashboard) has historically been limited by the fact that Chrome is capped at 16 active GL contexts that can be acquired simultaneous
Read the rest
ly. Plotly finally worked around this by using https://github.com/greggman/virtual-webgl > data: [[0, 1], [1, 3], [2, 2]] this data format, unfortunately, necessitates the allocation of millions of tiny arrays. i would suggest switching to a columnar data layout. uPlot has a 2M datapoint demo here, if interested: https://leeoniya.github.io/uPlot/bench/uPlot-10M.html
In Show HN: ChartGPU – WebGPU-powered charting library (1M points at 60fps)

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