Potential landscape tooling settling onto standard R generics after two rounds of renaming.
aqp alternatives
The best aqp alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to aqp? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, aqp shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About aqp
The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.
aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.
Velocity 0.0 · Last update 57m ago
Top 12 alternatives to aqp
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
Split out of quanteda, then quiet - one new classifier since 2020.
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.
A healthyverse machine-learning helper in maintenance: one new function in three years.
aqp vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| aqp (baseline) | 0.0 | 0 | r-packagesoil-sciences4-classes | Core class methods renamed and pruned ahead of 2.0 |
| simlandr | 0.0 | 0 | r-packagedynamical-systemsvisualization | — |
| lavaanExtra | 0.0 | 0 | r-packagestructural-equation-modelinglavaan | — |
| ibis.iSDM | 0.0 | 0 | r-packagespecies-distribution-modelsterra | raster replaced by terra across the package |
| anyflights | 0.0 | 0 | r-packageaviation-datateaching-datasets | — |
| vinereg | 0.0 | 0 | r-packagecopulasregression | — |
| stringx | 0.0 | 0 | r-packagestringsunicode | — |
| healthyR.data | 0.0 | 0 | r-packagehealthcare-datacms | Metadata lookup and generic CMS fetchers replace bundled data |
| quanteda.textmodels | 0.0 | 0 | r-packagetext-classificationnlp | Logistic regression classifier added; svmlin rewritten in C++ |
| splines2 | 0.0 | 0 | r-packagesplinesrcpp | Periodic B-splines, nsk(), and a basis conversion matrix |
| effectplots | 0.0 | 0 | r-packagemodel-interpretabilityale | Numeric core rewritten after an in-place data corruption fix |
| vinecopula | 0.0 | 0 | r-packagecopulasstatistics | — |
| healthyR.ai | 0.0 | 0 | r-packagehealthyversemachine-learning | — |
The 12 best aqp alternatives, in depth
1. simlandr · velocity 0.0
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, simlandr focuses on r package, dynamical systems and visualization.
simlandr and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. lavaanExtra · velocity 0.0
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, lavaanExtra focuses on r package, structural equation modeling and lavaan.
lavaanExtra and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full lavaanExtra trajectory → · Compare aqp vs lavaanExtra →
3. ibis.iSDM · velocity 0.0
A raster-to-terra migration is the only readable change in a feed of merge notes.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “raster replaced by terra across the package”.
Where aqp leans on r package, soil science and s4 classes, ibis.iSDM focuses on r package, species distribution models and terra.
ibis.iSDM and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. anyflights · velocity 0.0
A nycflights13 generator whose recent work is all about the data being right.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, anyflights focuses on r package, aviation data and teaching datasets.
anyflights and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. vinereg · velocity 0.0
Conditional density and log-likelihood fill out a vine copula regression package.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, vinereg focuses on r package, copulas and regression.
vinereg and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. stringx · velocity 0.0
A drop-in string API for base R, kept alive by upstream check failures.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, stringx focuses on r package, strings and unicode.
stringx and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. healthyR.data · velocity 0.0
From a bundled hospital dataset to a live CMS API client.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Metadata lookup and generic CMS fetchers replace bundled data”.
Where aqp leans on r package, soil science and s4 classes, healthyR.data focuses on r package, healthcare data and cms.
healthyR.data and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full healthyR.data trajectory → · Compare aqp vs healthyR.data →
8. quanteda.textmodels · velocity 0.0
Split out of quanteda, then quiet - one new classifier since 2020.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Logistic regression classifier added; svmlin rewritten in C++”.
Where aqp leans on r package, soil science and s4 classes, quanteda.textmodels focuses on r package, text classification and nlp.
quanteda.textmodels and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full quanteda.textmodels trajectory → · Compare aqp vs quanteda.textmodels →
9. splines2 · velocity 0.0
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Periodic B-splines, nsk(), and a basis conversion matrix”.
Where aqp leans on r package, soil science and s4 classes, splines2 focuses on r package, splines and rcpp.
splines2 and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. effectplots · velocity 0.0
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Numeric core rewritten after an in-place data corruption fix”.
Where aqp leans on r package, soil science and s4 classes, effectplots focuses on r package, model interpretability and ale.
effectplots and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full effectplots trajectory → · Compare aqp vs effectplots →
11. vinecopula · velocity 0.0
Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, vinecopula focuses on r package, copulas and statistics.
vinecopula and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. healthyR.ai · velocity 0.0
A healthyverse machine-learning helper in maintenance: one new function in three years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where aqp leans on r package, soil science and s4 classes, healthyR.ai focuses on r package, healthyverse and machine learning.
healthyR.ai and aqp have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full healthyR.ai trajectory → · Compare aqp vs healthyR.ai →
Frequently asked questions
What are the best alternatives to aqp?
The top aqp alternatives we currently track in analytics tools are simlandr, lavaanExtra, ibis.iSDM, anyflights, vinereg, ranked by recent ship velocity.
How is this list of aqp alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare aqp directly with one of these alternatives?
Yes — every card has a "Compare with aqp" link to a side-by-side /compare page.