Do you like Ruby? Do you like Terminal User Interfaces (TUIs)? Then you might LOVE this!
https://man.sr.ht/~kerrick/ratatui_ruby/
#TUI #Ruby #Rust #Ratatui #Software #Architecture #Design #Roadmap #OpenSource #LGPL
PSA: Our roadmap for 2026:
Do you like Ruby? Do you like Terminal User Interfaces (TUIs)? Then you might LOVE this!
https://man.sr.ht/~kerrick/ratatui_ruby/
#TUI #Ruby #Rust #Ratatui #Software #Architecture #Design #Roadmap #OpenSource #LGPL
For everyone curious about what’s coming next in #Vernissage, here’s the updated roadmap for 2026:
https://github.com/orgs/VernissageApp/projects/5
It outlines the planned work for the coming year, but it doesn’t include everything. Along the way, libraries will be updated, important bugs fixed, and other improvements addressed as they come up.
The roadmap shows the direction rather than a fixed promise for every single change.
For everyone curious about what’s coming next in #Vernissage, here’s the updated roadmap for 2026:
https://github.com/orgs/VernissageApp/projects/5
It outlines the planned work for the coming year, but it doesn’t include everything. Along the way, libraries will be updated, important bugs fixed, and other improvements addressed as they come up.
The roadmap shows the direction rather than a fixed promise for every single change.
PSA: Our roadmap for 2026:
Rivian Unveils Custom Silicon, R2 Lidar Roadmap, and Universal Hands Free
#HackerNews #Rivian #Unveils #Custom #Silicon #R2 #Lidar #Roadmap #Universal #Hands #Free #electricvehicles #autonomousdriving #technologyinnovation #Rivian
curated users quickly. Learn more.
- Institution support: Version 4.6: Allow institutions more control over the landing page and allow visitors to sign up for updates with an email account.
- Better onboarding: Version 4.6: Make improvements to how new users first arrive on Mastodon so they understand what that can do easily.
Exploring:
- Moderation tools: Looking at ways to make moderation easier, e.g. shared block lists.
- Simplify Private Mentions: Make Private Mentions calmer,more…
A Strategic Community #Roadmap for an #Australian#FAIR#Vocabulary Ecosystem
https://doi.org/10.25911/N6K8-F540
Three years ago, I participated in a very engaged workshop at #ANU on #vocabularies for FAIR #data management. It sharpened how I think about vocabularies. I now see them primarily as a #KnowledgeTransfer tool for representing domain expertise in an actionable form. And I think we do a terrible job both at highlighting how critical they are (particularly in an age where trusted expertise is harder to find) and also at making them easier for others to find and reuse.
I picture this scenario. A student is about to start collecting data for their thesis. They need to make choices about what variables to observe or what questions to ask participants, and they need to think about how they want to represent the results to support their analysis. In the ideal case, the actual data collecting effort is about populating an imagined but initially empty data matrix. If they could be assisted to find the best structured and most widely used (in their domain) vocabularies for any categorical values in their data, it would be possible to generate that template matrix with in-built validation tools, etc. The data they finally collect would have most of its metadata already defined and would be properly interoperable with data collected by others in their domain. Meta-analysis would be much simpler.
I am interested in why tools like this don't really exist, or at least why they are not mainstream. I think it's because vocabularies are seen as such an ultra-nerdy subset of the nerdy topic of #metadata rather than presented as an opportunity to stand on the shoulders of others. What can be done to make them more friendly and intuitive for such purposes?
Finally, after way too many struggles, we have a report and recommendations from from that meeting in 2022. I tried to add some of these ideas to the final product as best I could.
