Javascript

Over the past few months at work we’ve been looking into web framework options for a project that currently uses R Shiny. Our needs have grown beyond what Shiny can provide. We decided to try Rails, SvelteKit, and HTMX/FastAPI to see which one would best suit our needs. The frameworks Info and links on each: Rails Main language: Ruby Docs: Rails Guides Svelte Kit Main language: JavaScript Docs: Svelte Kit Docs HTMX/FastAPI Main language: Python Docs: HTMX Docs, FastAPI Docs Build minimal apps I built a minimal version of our existing Shiny app using each framework. For each app I created only the landing page, and two other pages - in total these three pages encompassed a lot of the complexity of the app, and allowed me to get a feel for how it would be to use each framework IRL. Because of reasons I’m not going to share these minimal apps. ...

I’ve heard of the event loop but never understood it - this talk does a good job of explaining it. Though it’s been 10 years, maybe how it works has changed?

I wrote about Crossref clients back nearly two years ago on this blog: Crossref programmatic clients. Since it’s been a while, it seems worth talking again about the the many ways to work programmatically with Crossref data - and focus in on the Python client habanero since it has some recent updates. The 3 clients work with the main Crossref API, which lets you do things like search for works by title, author, etc. (e.g., books, articles), search for publishing members, for funders, for journals, for DOI prefixes, and for licenses. It’s a powerful API with basically no rate limits, so you can work through lots of data quickly. ...

I gave two talks recently at the annual Crossref meeting, one of which was a somewhat technical overview of programmatic clients for Crossref APIs. Check out the talk here. I talked about the motivation for working with Crossref data by writing code/etc. rather than going the GUI route, then went over the various clients, with brief examples. We (rOpenSci) have been working on the R client rcrossref for a while now, but I’m also working on the Python and Ruby clients for Crossref. In addition, the Ruby client has a CLI client inside. The Javascript client is worked on independently by ScienceAI. ...

lawn is an R wrapper for the Javascript library turf.js for advanced geospatial analysis. In addition, we have a few functions to interface with the geojson-random Javascript library. lawn includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. There is an additional helper function (see view()) in this package to help visualize data with interactive maps via the leaflet package (https://github.com/rstudio/leaflet). Note that leaflet is not required to install lawn - it’s in Suggests, not Imports or Depends. ...