Tootfinder

@fanf@mendeddrum.org
2026-04-11 11:42:03

from my link log —
The tao of Unicode sparklines.
https://blog.jonudell.net/2021/08/05/the-tao-of-unicode-sparklines/
saved 2021-08-07

The Tao of Unicode Sparklines
I’ve long been enamored of the sparkline, a graphical device which its inventor Edward Tufte defines thusly: A sparkline is a small intense, simple, word-sized graphic with typographic resolu…

@netzschleuder@social.skewed.de
2026-02-14 15:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang: Languages spoken by country (2015). 868 nodes, 1255 edges. https://networks.skewed.de/net/unicodelang

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@floheinstein@chaos.social
2026-03-12 12:33:23

The new emojis are out - at least the ones Apple includes in the next iOS update:
Distorted Face, Fight Cloud, Hairy Creature, Ballet Dancer, Orca, Landslide, Trombone, Treasure Chest
Another emoji originally was on the list for Unicode 17, then postponed to 18, and in October 25, it was removed from the draft. Probably because a certain company in the consortium took offense to it.
U 1FADD

Emojis of Distorted Face, Fight Cloud, Hairy Creature, Ballet Dancer, Orca, Landslide, Trombone, Treasure Chest, and an Apple Core

@qurlyjoe@mstdn.social
2026-04-07 17:04:08

Charcuterie, a visual explorer for #Unicode. Browse the character set, discover related glyphs, and learn more about the scripts, symbols, and shapes that make up the standard.
https://charcuterie.elastiq.ch/#U 221E

Charcutrie
A visual explorer for Unicode. Browse characters, discover related glyphs, and explore scripts, symbols, and shapes across the standard.

@netzschleuder@social.skewed.de
2026-04-13 17:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

@catsalad@infosec.exchange
2026-03-04 05:31:19

Ouija Board with full Unicode support (including emojis)

@kubikpixel@chaos.social
2026-03-15 07:05:20

Beware of blank lines and white spaces — Supply-chain attack using invisible code hits GitHub and other repositories
Unicode that’s invisible to the human eye was largely abandoned - until attackers took notice.
🧑‍💻 https://arstechnica.com/securi…

Supply-chain attack using invisible code hits GitHub and other repositories
Unicode that's invisible to the human eye was largely abandoned—until attackers took notice.

@fanf@mendeddrum.org
2026-02-16 09:42:02

from my link log —
Unicode TOFU: detect changes to strings over time that might be spoofing.
https://github.com/begriffs/utofu
saved 2019-03-17 https://

GitHub - begriffs/utofu: Unicode Trust on First Use (TOFU)
Unicode Trust on First Use (TOFU). Contribute to begriffs/utofu development by creating an account on GitHub.

@netzschleuder@social.skewed.de
2026-03-05 01:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@simon_brooke@mastodon.scot
2026-03-15 10:58:28

"The code points represent every letter of the US alphabet when fed to computers, but their output is completely invisible to humans. People reviewing code or using static analysis tools see only whitespace or blank lines. To a #JavaScript interpreter, the code points translate into executable code."
Sigh.

Supply-chain attack using invisible code hits GitHub and other repositories
Unicode that's invisible to the human eye was largely abandoned—until attackers took notice.

@netzschleuder@social.skewed.de
2026-04-06 21:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

@netzschleuder@social.skewed.de
2026-01-30 11:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2026-02-24 10:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2026-02-20 22:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@sean@scoat.es
2026-02-22 18:55:00

Okay, I think this thing is ready-enough to tell people about it.
I made a #BBS to watch aircraft near #YUL (#Montreal airport), through my home #ADSB

The yulbbs about screen. It reads:

YULBBS is powered by ADS-BBS
(a pun on the ADS-B system that provides data)

Both were created by Sean Coates: https://seancoates.com

ssh (or telnet): yulbbs.via.sc

It uses Swift, NIO, swift-nio-ssh, and dump1080 on the backend.
The antenna is near CYUL, in Dorval, Quebec, a borough of Montreal.
The whole thing runs on a Raspberry Pi 3 in my office networking closet.
Aircraft data comes from the air, not from the net. Be nice.

(Yes, I know that it's not a …

A screen shot of the “ANSI”/BBS style UI. The main “list” view of air traffic near YUL. It contains a list of featured aircraft, a chart of arrivals/departures, recent activity, and some stats.

The map view, which uses Unicode Braille characters. One plane is departing, another is arriving, and a third is not currently heuristically engaged with the airport but it’s nearby.

@netzschleuder@social.skewed.de
2026-04-02 21:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

@netzschleuder@social.skewed.de
2026-01-24 00:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2026-01-22 11:00:04

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

@netzschleuder@social.skewed.de
2026-01-17 18:00:05

unicodelang: Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.
This network has 868 nodes and 1255 edges.
Tags: Informational, Relatedness, Weighted

unicodelang — Languages spoken by country (2015)
A bipartite network of languages and the countries in which they are spoken, as estimated by Unicode. Edges are weighted by the proportion of the given country's population that is literate in a particular language.

Tootfinder

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