compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
logr vs procs
A side-by-side editorial comparison of logr and procs — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packagesas-migrationclinical-reporting
logr vs procs: at a glance
What is logr?
A SAS-style logging package for R, shipping small and slowly by design.
logr produces SAS-style log files for R scripts, and is one component of the r-sassy suite aimed at analysts migrating clinical and pharmaceutical workflows off SAS. Release notes are terse — often a single line — and the cadence has thinned considerably, with one release in 2026 following a long gap. The functionality visible across this window is essentially complete: handlers, suspend and resume, explicit log_info/log_error/log_warning entries, and console output.
What is procs?
An R package rebuilding SAS procedures one PROC at a time, now filling in their options.
procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.
logr vs procs: editorial side-by-side
logr
2.5ANALYTICS
A SAS-style logging package for R, shipping small and slowly by design.
◆ Current state
logr produces SAS-style log files for R scripts, and is one component of the r-sassy suite aimed at analysts migrating clinical and pharmaceutical workflows off SAS. Release notes are terse — often a single line — and the cadence has thinned considerably, with one release in 2026 following a long gap. The functionality visible across this window is essentially complete: handlers, suspend and resume, explicit log_info/log_error/log_warning entries, and console output.
◆ Where it's heading
The arc runs from correctness work on warning and error capture toward giving users control over where log output goes and how it is formatted. Recent releases are refinements of message content rather than new logging concepts, which is what a package settling into maintenance looks like. Nothing in these entries suggests an expansion of scope beyond the SAS-log-emulation brief.
◆ Prediction
Expect continued low-volume maintenance releases refining message detail and integration with the rest of the r-sassy suite, rather than new logging capability.
procs
0.0ANALYTICS
An R package rebuilding SAS procedures one PROC at a time, now filling in their options.
◆ Current state
procs reimplements SAS statistical procedures — FREQ, MEANS, TTEST, REG, SORT, TRANSPOSE — as R functions returning both datasets and report-ready output, as part of the r-sassy suite. The catalogue of procedures is largely assembled; recent releases concentrate on the parameters each one accepts rather than on adding new procedures. Validation documentation is maintained alongside the code, consistent with the regulated environments the suite targets.
◆ Where it's heading
The work has shifted from breadth to fidelity: where earlier releases introduced whole procedures, recent ones add the options a SAS user expects to find on them, most visibly the where parameter spread across five functions at once and plotting support across three. Statistical output is being widened too, with AIC and adjusted Chi-Square appearing. The remaining gap is per-procedure option coverage rather than missing procedures.
◆ Prediction
Expect continued option-level parity work on the existing procedures, with new statistics added to their output tables, rather than a new proc_* function.
Alternatives to logr and procs
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either logr or procs.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
cyclocomp
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
revdbayes
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
Recent activity from logr and procs
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9d agologrWarning messages now name their source function
- 2mo agoprocsproc_ttest() gains sides, freq and weight parameters
- 4mo agoprocsA where parameter arrives across five procedures
- 5mo agologrConsole output, log_info(), and directory-level log paths
- 8mo agoprocsAdjusted Chi-Square added, altering the proc_freq() table
- 2y agologrRecursive warning and null-warning fixes
- 2y agologrlog_suspend(), log_resume(), and explicit error/warning entries
- 2y agoprocsproc_reg() added for regression
- 2y agologrWarnings print as expected again
- 2y agoprocsOrdered-factor handling fixed across three procedures
- 2y agoprocsproc_ttest() added, plus factor casting on proc_sort()
- 2y agologrUTF-8 handling in log_code() and crayon colour-code removal
Frequently asked questions
What is the difference between logr and procs?
Both compete on the same themes — r-package, sas-migration, clinical-reporting — within Analytics. logr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is logr better than procs?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. logr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to logr?
Top logr alternatives in Analytics are ranked by recent ship velocity. Browse the "logr alternatives" section above for the current picks, or visit /alternatives/logr for the full list with editorial commentary on each.
What are the best alternatives to procs?
Top procs alternatives in Analytics are ranked by recent ship velocity. Browse the "procs alternatives" section above for the current picks, or visit /alternatives/procs for the full list with editorial commentary on each.