git404hub

what is log4r fr?

hadley/log4r — explained in plain English

Analysis updated 2026-07-09 · repo last pushed 2024-10-11

Audience · developerComplexity · 2/5StaleLicenseSetup · easy

tl;dr

log4r is an R package that lets programmers record categorized messages from their code, controlling detail level and output destination like files or screen. It's fast, simple, and supports structured logging.

vibe map

mindmap
  root((log4r))
    What it does
      Records program messages
      Categories by importance
      Controls output destination
    Key concepts
      Logger objects
      Appenders for destinations
      Layouts for message format
    Strengths
      Fast and simple
      Structured logging support
      Backwards compatible
    Use cases
      Overnight data scripts
      Deployed app monitoring
      Error tracking
    Audience
      Data analysts
      Statisticians
      R developers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

what do people make with this?

VIBE 1

Log each step of an overnight data processing script so you can review results and issues the next morning.

VIBE 2

Send warnings and errors from a deployed R application to a central log file for monitoring.

VIBE 3

Record structured data fields like filenames and task durations alongside log messages for easy searching.

what's the stack?

R

how it stacks up fr

hadley/log4r0verflowme/alarm-clock0xhassaan/nn-from-scratch
Stars0
LanguageCSSPython
Last pushed2024-10-112022-10-03
MaintenanceStaleDormant
Setup difficultyeasyeasymoderate
Complexity2/52/54/5
Audiencedevelopervibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 5min

Install directly from CRAN or GitHub using standard R package installation commands.

Free, standard R package available from the main R package repository and GitHub, use it freely in your projects.

in plain english

log4r is a tool for R programmers who need to record messages about what their code is doing as it runs. Think of it as a diary for your program: instead of just printing text to the screen, the package lets you categorize messages by importance (like "info," "warning," or "error") and control where they end up, such as in a file for later review. At a high level, you create a "logger" object that acts as your message recorder. You tell it what level of detail to capture and where to send the output. For example, you can set it to write everything to a text file, or only save warnings and errors while ignoring routine info. The system uses "appenders" to decide the destination (like a file or the screen) and "layouts" to control exactly how each message looks when written. The project stands out from other R logging options by focusing on speed and simplicity. It intentionally has fewer features than some alternatives, which makes it run faster. It also supports "structured logging," meaning you can attach specific data fields to a message, like a filename or how long a task took, formatted in a way that other systems can easily read and search. This tool is aimed at data analysts, statisticians, and developers working in R who are building scripts or applications that need reliable record-keeping. For instance, if you have a script processing data files overnight, the package lets you log each step and any issues encountered, so you can check the results the next morning. For deployed applications, you can send logs to a central location for monitoring. The package also supports an older style of setup from previous versions, so existing code doesn't break when upgrading. It's available as a free, standard R package that can be installed directly from the main R package repository or from GitHub.

prompts (copy fr)

prompt 1
Help me set up a log4r logger in my R script that writes INFO messages to a file and only prints WARN and ERROR to the console.
prompt 2
Write R code using log4r to log structured fields like filename and elapsed time alongside each info message in my data pipeline.
prompt 3
Show me how to migrate my existing R logging code to log4r without breaking my current setup, using the backwards-compatible style.
prompt 4
Create a log4r logger with a file appender and a custom layout that includes timestamps and log levels for my overnight batch job.

Frequently asked questions

what is log4r fr?

log4r is an R package that lets programmers record categorized messages from their code, controlling detail level and output destination like files or screen. It's fast, simple, and supports structured logging.

Is log4r actively maintained?

Stale — no commits in 1-2 years (last push 2024-10-11).

What license does log4r use?

Free, standard R package available from the main R package repository and GitHub, use it freely in your projects.

How hard is log4r to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is log4r for?

Mainly developer.

peek the repo → explain another one

This repo across BitVibe Labs

double-check against the repo, no cap.