2026-01-31 12:42:01
from my link log —
GNU Recutils: a database management system using human-readable text files.
https://labs.tomasino.org/gnu-recutils/
saved 2020-01-26 https://
from my link log —
GNU Recutils: a database management system using human-readable text files.
https://labs.tomasino.org/gnu-recutils/
saved 2020-01-26 https://
Interesting. I thought there was a recommendation to distinguish links from plain text. Will need to check again.
#w3c #accessibility
CotEditor remains a gem of a plain-text, open-source editor for macOS
And it gets so many updates, it’s unbelievable
#mac
💬 #PlainText #Accounting with #hledger (FOSS for All presentation) | Plain Text Accounting forum
“you can just supply an IP address of a MongoDB instance and it’ll start ferreting out in memory things such as database passwords (which are plain text), AWS secret keys etc. The exploit specifically looks for those class of credentials and secrets, too.”
https://doublepulsar.com…
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 87 nodes and 375 edges.
Tags: Biological, Food web, Unweighted, Metadata
One pattern you can always count on: if you ever explain a technology by describing how the human and social aspects matter more than the obscure technical details, a certain cohort of dudes who are inept at socialization will lash out about their insecurities by trying to condescend. Who here thinks I wrote ~5000 words on Markdown but I don’t know what plain text files are?
OpenAI quietly rolls out ChatGPT Translate, a standalone website that currently supports plain text translations across 50 languages (Adamya Sharma/Android Authority)
https://www.androidauthority.com/chatgpt-translate-3632584/
Urban Texture 🧩
城市质地 🧩
📷 Nikon F4E
🎞️ ERA 100, expired 1993
#filmphotography #Photography #blackandwhite
Amidst all the buzz around things like Gas Town and Ralph, etc. there are some bits of actual substance that promise to actually empower coders — and potentially shift the power dynamic away from Big AI, while making it easier to create software just by describing ideas in plain text. I've been thinking of the idea as "codeless" software creation, for lack of a better term (the jargon doesn't matter, I just needed a name to talk about it) and would love your thoughts!
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 71 nodes and 148 edges.
Tags: Biological, Food web, Unweighted, Metadata
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 105 nodes and 343 edges.
Tags: Biological, Food web, Unweighted, Metadata
I've been working on this one for a while. The multi-trillion-dollar AI industry? Their *most advanced platforms* are controlled by a plain text format that John Gruber made up for his blog, and then bounced off of a 17-year-old Aaron Swartz, before sharing it with the world for free. *That* is the internet. Here's the amazing (true!) story of how Markdown took over the world.
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 95 nodes and 565 edges.
Tags: Biological, Food web, Unweighted, Metadata
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 94 nodes and 424 edges.
Tags: Biological, Food web, Unweighted, Metadata
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 58 nodes and 117 edges.
Tags: Biological, Food web, Unweighted, Metadata
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 71 nodes and 148 edges.
Tags: Biological, Food web, Unweighted, Metadata
fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 86 nodes and 353 edges.
Tags: Biological, Food web, Unweighted, Metadata