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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, 2:17:07 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

7 sources
Why is this needed in the codebase? export const getFullYear = 'getFullYear'; export const getMonth = 'getMonth'; export const getDate = 'getDate'; export const getDay = 'getDay'; export const getHours = 'getHours'; export const getMinutes = 'getMinutes'; export const getSeconds = 'getSeconds'; export const getMilliseconds = 'getMilliseconds'; To be seen here: https://github.com/leeoniya/uPlot/blob/master/src/fmtDate.js
In Show HN: uPlot.js – An exceptionally fast, tiny time series chart
i tested Flot [1] locally and got 351ms/45MB heap vs 45ms/20MB heap for uPlot on this machine. (the numbers in the readme are from another machine that's maybe 20% slower). i'll update the bench table tomorrow when i run it there. for Vega, i could use your help to add it to the list. learning exactly how its schemas work does not sound like a good time to me. [1] https://github.com/leeoniya/uPlot/blob/master/bench/Flot.htm...
In Show HN: uPlot.js – An exceptionally fast, tiny time series chart
i'm working on a micro timeseries plotter that easily handles 150k+ datapoints. it uses canvas but accounts properly for display pixel density, so is as sharp as SVG. here is how it performs vs Chart.js: https://github.com/leeoniya/uPlot#performance i will add Apex charts to the bench list in a day or so i think the only practical way to get acceptable perf with SVG is to simplify the paths via something like https://mourner.github.io/simplify-js/
In A Beginner’s Guide to Chart.js

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