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plotly
plotly.js
JavaScript2015–2024
plotly / plotly.js

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

17Distinct people
20Mentions
0Explicit recommenders
18.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Open-source JavaScript charting library behind Plotly and Dash

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM 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 year20 dated mentions

Observed mentions: 2015-11-17 18:03:25 UTC to 2024-10-18 15:08:47 UTC.

0123452015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC303
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC505
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC422
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC312
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

4 sources
Hello HN! Nice to see this up here. Chris here, cofounder of Plotly. Falcon is open source and works without an internet connection or a Plotly Chart Studio account. Falcon wires together our graphing library plotly.js (https://github.com/plotly/plotly.js/), the plotly.js chart editor (https://github.com/plotly/react-chart-editor), Electron, and some open source NPM packages for connecting to databases. Just FYI - As a company (Plotly), we're spending most of our development effort these days on Dash Open Source (https://github.com/plotly/dash) and Dash Enterprise (https://plotly.com/dash). Truth be told, we found that most companies we worked with preferred to own the analytical backend. We also heard many stories of organizations running into roadblocks with off-the-shelf SQL or BI tools (Falcon included!). Our approach with Dash is to
Read the rest
provide the visualization and application primitives so that you could build your own tailor-made dashboards, analytical apps, or yes, even SQL editors. If you want to read more about where we're at, here's an essay we wrote last week on Dash: https://medium.com/plotly/dash-is-react-for-python-r-and-jul...
In Falcon is a free, open-source SQL editor with inline data visualization
Having created mostly static in excel, I found the premise of d3 awesome! As the complexity to use it was kind of overwhelming, I ended up using plotly.js and its react wrapper for an analytical app at work. Whilst this works great and is super straightforward, there's many little things that you can't easily control in plotly (and other similar libraries). They come with some bugs/quirks that perhaps are meaningless to 95% of their users, but limit me from making my ideal dashbaord. E.g. plotly doesn't seem to support formatting a date as a week with a ISO8601 (%V): https://github.com/plotly/plotly.js/issues/424 and many other little things. What's the best way to use d3 with react these days, then? Is there some recommendation from Mike or someone else who is experienced in this area?
In Learn D3

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