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Reposted by Carson Sievert (he/him)

Thomas Lin Pedersen @thomasp85.com · 17d

I am super hyped to finally share the first release of plumber2 with all of you. This has been the center of my attention for a big part of 2025 and I hope you'll find it a worthy update to the venerable plumber package.

The blog post will tell you more

#rstats

plumber2 0.1.0

plumber2, a complete rewrite of plumber, has landed on CRAN, providing a modern, future proof solution for creating web servers in R. Read all about the new features here.

www.tidyverse.org

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Kyle Walker @kylewalker.bsky.social · Jul 26

On the blog: building an AI-powered location explorer with Shiny and Claude

Intrigued by apps you’ve seen that bridge GIS and LLMs? You can build them yourselves in #rstats!

Read the post: walker-data.com/posts/ai-loc...

Building an AI-powered location explorer with Shiny and Claude – WALKER DATA

GIS, demographics, and data science consulting

walker-data.com

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Reposted by Carson Sievert (he/him)

Posit @posit.co · Jul 14

Announcing Orbital for Python! For Scikit-learn users, this tool transforms your ML pipelines into SQL queries, letting predictions run directly in your database without a #Python environment.

Learn more: posit.co/blog/introdu...

A white stylized serpent or "S" curve with a circular head and dot for an eye, is centered on a dark blue circle. Behind the circle is a dark blue background with lighter blue vertical lines of varying heights, resembling an audio waveform.

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Reposted by Carson Sievert (he/him)

Hadley Wickham @hadley.nz · Jun 3

At Posit, we love @typst.app:

⚡ Make PDFs in milliseconds, not minutes
✨ The power of LaTeX with today's technologies
✍️ Modern typography (including emojis!)
🧠 Clear mental model

So I'm thrilled to announce that we're now supporting its development: posit.co/blog/posit-a...

#rstats

Posit

We’re happy to announce that we’re supporting Typst by funding one of their full-time engineers.

posit.co

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Reposted by Carson Sievert (he/him)

Simon Willison @simonwillison.net · Jun 2

Risky post!

(This is great, fun to read and the frustrated tone throughout really does capture how it feels sometimes to be an experienced programmer trying to argue that "LLMs are actually really useful" in many corners of the internet)

Thomas Ptacek @sockpuppet.org · Jun 2

I regret nothing yet! fly.io/blog/youre-a...

My AI Skeptic Friends Are All Nuts

My smartest friends have bananas arguments about LLM coding.

fly.io

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Carson Sievert (he/him) @cpsievert.bsky.social · May 25

This feature is currently only available in python but is coming to R soon

1

Reposted by Carson Sievert (he/him)

Chad Whitacre @chadwhitacre.com · May 16

Found some @opensourcepledge.com member companies at #pycon!

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Reposted by Carson Sievert (he/him)

Noam Ross @noamross.net · May 8

Wow, this talk-to-the-data #RStats dashboard of terminated #NSF grants is really something.

Screenshot of Shiny querychat dashboard, showing chat interface where I ask "Which universities lost the most STEM directorate funding?". It responds with:

To find out which universities lost the most STEM Education funding from the NSF directorate, I'll query the database for sums of the obligations by organization and sort the results. Please hold on one moment.

SELECT org_name, SUM(usaspending_obligated) AS total_lost_funding
FROM nsf_terminations
WHERE directorate = 'STEM Education'
GROUP BY org_name
ORDER BY total_lost_funding DESC
LIMIT 10

(tabular data omitted)

The universities that lost the most STEM Education funding are:

Arizona State University - $23,806,114
University of California-Berkeley - $21,354,803
University of Texas at El Paso - $16,931,897
Auburn University - $13,200,926
Northeastern University - $11,626,667
University of Pittsburgh - $11,505,436
University of Maryland Baltimore County - $11,389,110
Regents of the University of Michigan - Ann Arbor - $9,907,132
Michigan State University - $9,905,930
Clark Atlanta University - $9,750,869

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Carson Sievert (he/him) @cpsievert.bsky.social · Apr 16

Shiny v1.4 is now on PyPI! 🎉

Highlights include bookmarking and new Generative AI documentation. 🔖🤖

Read here for more. 👀

shiny.posit.co/blog/posts/s...

A fun and cartoonish portrayal of bookmarking a web page

Screenshot of new Generative AI articles within the Shiny documentation

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Carson Sievert (he/him) @cpsievert.bsky.social · Apr 10

Want to work with me on the Shiny team at @posit.co alongside @jcheng5.bsky.social @winstonchang.bsky.social @schloerke.bsky.social @grrrck.xyz?

We're looking for another engineer, apply here posit.co/job-detail/?...

#rstats #rshiny #ShinyConf #python #pydata

Carson Sievert (he/him) @cpsievert.bsky.social · Apr 10

Slides from my #ShinyConf talk earlier today: "LLM-Powered Shiny apps with ellmer and chatlas"

docs.google.com/presentation...

#rstats #rshiny #python #ai

Shiny AI apps using ellmer & chatlas

LLM-Powered Shiny apps with ellmer and chatlas bit.ly/shiny-ellmer-chatlas Carson Sievert Senior Software Engineer Posit, PBC

docs.google.com

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Carson Sievert (he/him) @cpsievert.bsky.social · Apr 10

Slides from my #ShinyConf talk earlier today: "LLM-Powered Shiny apps with ellmer and chatlas"

docs.google.com/presentation...

#rstats #rshiny #python #ai

Shiny AI apps using ellmer & chatlas

LLM-Powered Shiny apps with ellmer and chatlas bit.ly/shiny-ellmer-chatlas Carson Sievert Senior Software Engineer Posit, PBC

docs.google.com

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Reposted by Carson Sievert (he/him)

Posit @posit.co · Mar 24

We are thrilled to announce chatlas, a Python package that simplifies working with large language models (LLM) in Python!
Chat, tool call, stream API calls, RAG, and more, with developer details like typing support and rich console output.
Read the post: posit.co/blog/announc...
#Python #AI

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Reposted by Carson Sievert (he/him)

Posit @posit.co · Mar 24

We're excited for #ShinyConf2025!

Posit's Carson Sievert will talk about "Building LLM-Powered Shiny apps via ellmer and chatlas"

Learn more and see the full agenda at www.shinyconf.com/agenda.

#RShiny #ShinyForPython #rstats

Shiny Conference 2025. Carson Sievert. Building LLM-Powered Shiny apps via ellmer and chatlas.

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Reposted by Carson Sievert (he/him)

James Balamuta @coatless.bsky.social · Jan 5

Test BFGS, Nelder-Mead & other numerical optimization algorithms on classic functions like Rosenbrock & Ackley. Compare paths & landscapes in real-time. Built with #rstats #rshiny

🔗 App: shiny.thecoatlessprofessor.com/numerical-op...
💻 Code: github.com/coatless-shi...

The Single Optimization tab showing results for the Ackley function. The interface displays optimization metrics (final value: 0.00285506, distance to minimum: 0.00285506, total iterations: 71), a contour visualization of the function and the optimization path, a convergence plot showing objective value vs iteration, and detailed results in a table format. The left sidebar contains various configuration options

A 3D surface plot showing an optimization path on the Ackley function. The surface is colored in yellow to green, with a clear minimum point at the center. The optimization path is shown in red, moving from the starting point (blue dot) to the end point (purple diamond), converging towards the global minimum.

The Landscape Analysis tab of the optimization app showing a 3D visualization of the Simple Bowl (Sphere) function. The interface includes settings for test function selection, analysis type, and grid resolution on the left. The main panel displays the bowl-shaped function surface and its mathematical formula f(x) = Σxᵢ² along with properties including domain [-5.12, 5.12], global minimum (0), and minimum location (0, 0).

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Reposted by Carson Sievert (he/him)

George Stagg @gws.phd · Jan 4

Recently I've been working on getting #polars running in #pyodide. This was a fun one, even requiring patches to LLVM's #wasm writer! Everything has now been upstreamed and earlier this week Pyodide v0.27.0 released, including a Wasm build of Polars usable in Pyodide, Shinylive and Quarto Live 🎉

A screenshot of a Pyodide REPL executing Polars code:

import polars as pl
import requests
r = requests.get("https://raw.githubusercontent.com/pola-rs/polars/refs/heads/main/examples/datasets/foods2.csv")
pl.read_csv(r.content).group_by("category").mean()

A screenshot of a Quarto Live code cell executing Polars code:

import polars as pl
import requests
r = requests.get("https://raw.githubusercontent.com/pola-rs/polars/refs/heads/main/examples/datasets/foods2.csv")
pl.read_csv(r.content).group_by("category").mean()

A screenshot of a Shinylive app using Polars code:

from shiny import App, render, ui
import polars as pl
from pathlib import Path

app_ui = ui.page_fluid(
ui.input_select("cyl", "Select Cylinders", choices=["4", "6", "8"]),
ui.output_data_frame("filtered_data")
)

def server(input, output, session):
df = pl.read_csv(Path(__file__).parent / "mtcars.csv")

@output
@render.data_frame
def filtered_data():
return (df
.filter(pl.col("cyl") == int(input.cyl()))
.select(["mpg", "cyl", "hp"]))

app = App(app_ui, server)

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Reposted by Carson Sievert (he/him)

Tamara Vanderwal @vanderlab.bsky.social · Jan 3

Great work by @halleeshearer.bsky.social in her first first-author paper. With 🎀 shiny app 🎀 to explore how FC reliability fares ACROSS DIFFERENT movies versus rest, region-by-region. Thanks @sneuroble.bsky.social @tingsterx.bsky.social @ninetlab.bsky.social for 👍 collab.

doi.org/10.1162/imag...

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Reposted by Carson Sievert (he/him)

Sharon Machlis @smachlis.bsky.social · Dec 26

I finally tried the {shinychat} #RStats 📦 and it's nice to see LLM streaming responses in an R Shiny app!
By @jcheng5.bsky.social & @cpsievert.bsky.social at @posit.co
github.com/posit-dev/sh...
#RShiny #GenAI 1/2

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Reposted by Carson Sievert (he/him)

Kyle Walker @kylewalker.bsky.social · Dec 9

I've been working with a variety of #LLM / #GenAI interfaces in #Python, but I haven't found one that does exactly what I need in a streamlined way.

The new chatlas package from Posit may be just that. It supports multiple providers, structured data outputs, and more!

posit-dev.github.io/...

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