parallelDist
parallelDist is in pure preservation mode — one build fix every few years.
Comparison · Analytics
inbospatial vs qtl
A side-by-side editorial comparison of inbospatial and qtl — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
inbospatial vs qtl: at a glance
What is inbospatial?
A thin R wrapper over Flemish geospatial services, adding one standard at a time
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
What is qtl?
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.
inbospatial vs qtl: editorial side-by-side
inbospatial
0.0ANALYTICS
A thin R wrapper over Flemish geospatial services, adding one standard at a time
◆ Current state
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
◆ Where it's heading
The package grows by absorbing one more service standard per release rather than by adding abstraction. The 0.1.0 additions point the same way — get_feature_ogc() covers a newer OGC standard alongside the existing WCS and WFS paths, and get_wcs_layers() addresses the practical problem that you cannot query a coverage without first knowing what layers exist. Release cadence is slow and driven by which service the maintainers needed next.
◆ Prediction
Expect the next release to add another regional service endpoint or extend OGC API Features coverage, on a timescale of a year or more given the gaps between the three releases so far.
qtl
0.0ANALYTICS
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
◆ Current state
R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.
◆ Where it's heading
The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.
◆ Prediction
R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.
Alternatives to inbospatial and qtl
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 inbospatial or qtl.
cairo
Cairo finally catches R's graphics engine, all the way to GE API 16.
rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
See all inbospatial alternatives → · See all qtl alternatives →
Recent activity from inbospatial and qtl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoinbospatialOGC API Features querying and WCS layer discovery arrive
- 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
- 8mo agoqtlClearer cim() error when multiple phenotypes are passed
- 1y agoinbospatialFlanders digital elevation model becomes queryable
- 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
- 2y agoqtlFix Rprintf call and remaining compiler warnings
- 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
- 2y agoinbospatialWMS and WMTS shorthands plus projection distortion utilities
- 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes
Frequently asked questions
What is the difference between inbospatial and qtl?
Both compete on the same themes — r-package — within Analytics. inbospatial and qtl 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 inbospatial better than qtl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inbospatial and qtl 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 inbospatial?
Top inbospatial alternatives in Analytics are ranked by recent ship velocity. Browse the "inbospatial alternatives" section above for the current picks, or visit /alternatives/inbospatial for the full list with editorial commentary on each.
What are the best alternatives to qtl?
Top qtl alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl alternatives" section above for the current picks, or visit /alternatives/qtl-r for the full list with editorial commentary on each.