fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
Comparison · Analytics
monitOS vs OHPL
A side-by-side editorial comparison of monitOS and OHPL — release velocity, themes, recent moves, and the top alternatives to consider.
monitOS vs OHPL: at a glance
What is monitOS?
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
What is OHPL?
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
monitOS vs OHPL: editorial side-by-side
monitOS
0.0ANALYTICS
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
◆ Current state
monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.
◆ Where it's heading
For a package published by a pharmaceutical sponsor, the licence change is the substantive item — MIT removes friction for reuse outside Novartis, and the added issue link and website point the same way, toward outside users. Everything else is packaging hygiene. At 0.1.6 with two releases nine months apart, the statistical methodology looks settled while the distribution around it is being tidied.
◆ Prediction
The open-sourcing signals suggest the next release will respond to outside issue reports; the entries give no indication of methodology changes.
OHPL
0.0ANALYTICS
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
◆ Current state
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
◆ Where it's heading
This is a published-method package in the archival phase: the algorithm is fixed, the paper is cited, and the maintainer keeps it installable. The releases read as a timeline of R packaging conventions rather than of the method — tidyverse code style in 2019, roxygen2 Markdown and bibentry() in 2024, Rd HTML validation in 2026. Gaps of two to five years between releases are normal here.
◆ Prediction
Expect the next release whenever CRAN introduces another documentation or packaging check; there is no indication the method itself will be extended.
Alternatives to monitOS and OHPL
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 monitOS or OHPL.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
dggridR
A discrete global grid generator grew cell traversal and became a usable spatial index.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
ichimoku
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
See all monitOS alternatives → · See all OHPL alternatives →
Recent activity from monitOS and OHPL
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoOHPLRd documentation HTML validation fixed
- 1y agomonitOSRelicensed to MIT; Shiny import and inf-value fixes
- 1y agomonitOSv0.1.5-release
- 2y agoOHPLDocumentation modernized to current R conventions
- 7y agoOHPLCode restyled and repository links updated
- 9y agoOHPLCitation information and documentation site updated
- 9y agoOHPLPrediction and evaluation functions complete the package
Frequently asked questions
What is the difference between monitOS and OHPL?
They serve adjacent needs but don't currently overlap on shipped themes. monitOS and OHPL are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is monitOS better than OHPL?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. monitOS and OHPL are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to monitOS?
Top monitOS alternatives in Analytics are ranked by recent ship velocity. Browse the "monitOS alternatives" section above for the current picks, or visit /alternatives/monitos for the full list with editorial commentary on each.
What are the best alternatives to OHPL?
Top OHPL alternatives in Analytics are ranked by recent ship velocity. Browse the "OHPL alternatives" section above for the current picks, or visit /alternatives/ohpl for the full list with editorial commentary on each.