Showing 7 of total 7 results (show query)
daroczig
logger:A Lightweight, Modern and Flexible Logging Utility
Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Maintained by Gergely Daróczi. Last updated 2 months ago.
298 stars 16.88 score 1.5k scripts 98 dependentsirkernel
IRkernel:Native R Kernel for the 'Jupyter Notebook'
The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
Maintained by Philipp Angerer. Last updated 11 months ago.
jupyterjupyter-kernelsjupyter-notebookzmq
1.7k stars 11.78 score 139 scripts 23 dependentsr-lib
log4r:A Fast and Lightweight Logging System for R, Based on 'log4j'
The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated 'log4j' system and etymology.
Maintained by Aaron Jacobs. Last updated 5 months ago.
95 stars 10.81 score 217 scripts 16 dependentsdbosak01
logr:Creates Log Files
Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Maintained by David Bosak. Last updated 2 days ago.
13 stars 10.17 score 265 scripts 3 dependentseddelbuettel
RcppSpdlog:R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Maintained by Dirk Eddelbuettel. Last updated 2 months ago.
16 stars 8.36 score 6 scripts 13 dependentsnoaa-fims
FIMS:The Fisheries Integrated Modeling System
The Fisheries Integrated Modeling System is a next-generation framework of stock assessment models, assisting fishery managers with the goal of achieving sustainable fisheries. This system, when completed in a few years, offers the NOAA Fisheries and global fisheries science communities an advanced set of stock assessment models. These tools can be used separately or in combination to incorporate ecosystem and socioeconomic data and models, as well as climate effects and other drivers within the marine environment, into stock assessment models.
Maintained by Kelli F. Johnson. Last updated 2 months ago.
23 stars 5.67 score 24 scriptssellorm
rlog:A Simple, Opinionated Logging Utility
A very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, 'rlog' provides a compact feature set that focuses on getting the job done in a Unix-like way.
Maintained by Mark Sellors. Last updated 3 years ago.
19 stars 4.81 score 68 scripts