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No Clocks

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Kusho
Kusho
AI agent for software testing
·kusho.ai·
Kusho
Client for 'toxiproxy'
Client for 'toxiproxy'
Create chaotic proxies for services to test behaviour of your clients and servers in the face of unreliable network connections. Provides a client to the 'toxiproxy' API.
·richfitz.github.io·
Client for 'toxiproxy'
Formatting: date-time — posixt-formatting
Formatting: date-time — posixt-formatting
This is a POSIXct method for the date_format() generic. date_format() formats a date-time (POSIXct) using a format string. If format is NULL, a default format of "%Y-%m-%dT%H:%M:%S%Ez[%Z]" is used. This matches the default format that date_time_parse_complete() parses. Additionally, this format matches the de-facto standard extension to RFC 3339 for creating completely unambiguous date-times.
·clock.r-lib.org·
Formatting: date-time — posixt-formatting
R Tests Gallery
R Tests Gallery
Learn how to effectively test in R and use tests to drive your development process.
·jakubsobolewski.com·
R Tests Gallery
{shinytesters}: Updating Inputs in testServer | Ashley's Blog
{shinytesters}: Updating Inputs in testServer | Ashley's Blog
I have been working on a project where we have been unable to use {shinytest2}, and therefore have had a heavy reliance on the testServer function on testing the reactive functionality in each of the modules. Whilst it is great for checking the server-side logic based on dummy inputs being...
·ashbaldry.github.io·
{shinytesters}: Updating Inputs in testServer | Ashley's Blog
Build a Meta-Package Universe
Build a Meta-Package Universe
Build your own universe of packages similar to the 'tidyverse' package with this meta-package creator. Create a package-verse, or meta package, by supplying a custom name for the collection of packages and the vector of desired package names to include– and optionally supply a destination directory, an indicator of whether to keep the created package directory, and/or a vector of verbs implement via the 'usethis' package.
·pkgverse.mikewk.com·
Build a Meta-Package Universe
OpenAPI Spec Generator - AI Prompt
OpenAPI Spec Generator - AI Prompt
Generates OpenAPI 3.1.0 specifications from diverse inputs. Free Programming & Code prompt for ChatGPT, Gemini, and Claude.
·docsbot.ai·
OpenAPI Spec Generator - AI Prompt
quarto R package v1.5.0: Streamlined Workflows for R Users – Quarto
quarto R package v1.5.0: Streamlined Workflows for R Users – Quarto
The quarto R package 1.5.0 brings powerful new features for passing R values to Quarto metadata, inserting Markdown in HTML tables, working with R scripts, building paths from Quarto projects, and automating Quarto CLI from R.
·quarto.org·
quarto R package v1.5.0: Streamlined Workflows for R Users – Quarto
Multi-artifacts support
Multi-artifacts support
Microcks is Open Source cloud-native tool for API Mocking and Testing
·microcks.io·
Multi-artifacts support
posit::conf | R & Python Data Science Conference - Posit
posit::conf | R & Python Data Science Conference - Posit
Connect with a vibrant global community of R and Python data scientists at Posit's annual conference. Learn, share, and grow your expertise in data science.
·posit.co·
posit::conf | R & Python Data Science Conference - Posit
Introducing fodr: a package for French open data in R
Introducing fodr: a package for French open data in R
Nowadays, more and more government organisations subscribe to the open data movement and some have done so in France, in the hopes that new services or insights would come from the analysis of this data.
·tutuchan.github.io·
Introducing fodr: a package for French open data in R
shinymgr: A Framework for Building, Managing, and Stitching Shiny Modules into Reproducible Workflows
shinymgr: A Framework for Building, Managing, and Stitching Shiny Modules into Reproducible Workflows
The R package shinymgr provides a unifying framework that allows Shiny developers to create, manage, and deploy a master Shiny application comprised of one or more "apps", where an "app" is a tab-based workflow that guides end-users through a step-by-step analysis. Each tab in a given "app" consists of one or more Shiny modules. The shinymgr app builder allows developers to "stitch" Shiny modules together so that outputs from one module serve as inputs to the next, creating an analysis pipeline that is easy to implement and maintain. Apps developed using shinymgr can be incorporated into R packages or deployed on a server, where they are accessible to end-users. Users of shinymgr apps can save analyses as an RDS file that fully reproduces the analytic steps and can be ingested into an RMarkdown or Quarto report for rapid reporting. In short, developers use the shinymgr framework to write Shiny modules and seamlessly combine them into Shiny apps, and end-users of these apps can execute reproducible analyses that can be incorporated into reports for rapid dissemination. A comprehensive overview of the package is provided by 12 learnr tutorials.
·journal.r-project.org·
shinymgr: A Framework for Building, Managing, and Stitching Shiny Modules into Reproducible Workflows
Futureverse
Futureverse
A Unifying Parallelization Framework in R for Everyone
·futureverse.org·
Futureverse
Introducing gander - Posit
Introducing gander - Posit
gander is an in-editor AI tool that describes R objects to improve coding efficiency.
·posit.co·
Introducing gander - Posit