I'm excited to introduce GeoLibre, a lightweight, cloud-native desktop GIS built with MapLibre GL JS and Tauri.
GeoLibre is designed for modern geospatial workflows, combining the flexibility of web technologies with the performance of a native desktop application. The current prototype includes a MapLibre-powered map workspace, local vector data import, project persistence, and built-in plugins for basemaps, layer control, swipe, street view, lidar, GeoAgent, and GeoEditor integrations.
GeoLibre can run directly in a web browser or as a standalone cross-platform desktop application (<30 MB).
GitHub: https://t.co/VXq8c1o2Nd
Website: https://t.co/7VA2AQoCUc
Live demo: https://t.co/Cq5Mg3ojNQ
Feedback, ideas, and contributions are welcome.
#GeoLibre #GIS #Geospatial #MapLibre #OpenSource #CloudNative
We just refreshed the CiteDrive website with up-to-date guides, resources, and info to help you get more out of your citation workflow: https://t.co/n1r593LKif
R + AI tooling is getting seriously good. Posit Assistant can now work directly with your R session, variables, plots, and models inside Positron and RStudio. Feels like the beginning of a very different R workflow.
https://t.co/BsuPvNfLTA
#rstats#datascience#AI#opensource
Better Code, Without Any Effort, Without Even AI
A great reminder that better R code doesn’t always need AI — lintr, Air, jarl, and flir can already do a lot of heavy lifting.
https://t.co/JmV2aURNSd
#RStats#CleanCode#OpenScience
Useful for RStudio users: how to learn tidyverse and ggplot with AI tools without blindly trusting generated code.
https://t.co/0WLIYAJRpb
#GenAI#tidyverse#rstats#RStudio
Better Code, Without Any Effort, Without Even AI
A great reminder that better R code doesn’t always need AI — lintr, Air, jarl, and flir can already do a lot of heavy lifting.
https://t.co/JmV2aURNSd
#RStats#CleanCode#OpenScience
Comparing {targets} and dbt for Data Engineering
R or SQL for data pipelines? Interesting comparison of {targets} and dbt for real-world data engineering work.
https://t.co/hkhZTNhAwj
#RStats#DataEngineering#dbt
Build an xG Model in R with worldfootballR
Football analytics + R = a very fun combo. This guide builds an expected goals model with feature engineering, logistic regression, evaluation, and plots.
https://t.co/WX0YC2otbb
#RStats#SportsAnalytics#FootballAnalytics
Why a High R² Can Be Misleading
A high R² can look impressive, but it can also hide overfitting. Nice R read on why “good fit” ≠ “good model.”
https://t.co/k594mcUyI7
#RStats#DataScience#MachineLearning
Useful for RStudio users: how to learn tidyverse and ggplot with AI tools without blindly trusting generated code.
https://t.co/0WLIYAJRpb
#GenAI#tidyverse#rstats#RStudio
Claude can now generate charts, diagrams, and visuals directly in chat — a big signal for where AI-assisted dataviz is going.
https://t.co/82g67jK6Ll
#GenAI#dataviz#AI#DataAnalytics