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Comparison · Infra & APIs
BIOMASS vs samplr
A side-by-side editorial comparison of BIOMASS and samplr — release velocity, themes, recent moves, and the top alternatives to consider.
BIOMASS vs samplr: at a glance
What is BIOMASS?
A tropical-forest biomass staple modernising its geospatial stack without saying so
BIOMASS estimates aboveground biomass and its uncertainty in tropical forests and is well established in that niche. Its public changelog is close to empty: the most recent entry, 2.2.4, is a thirty-four character pointer to the NEWS file. The last release with readable content, 2.1.11, bundled six versions of work whose substantive part was migrating off sp and raster to sf and terra, and from httr to httr2.
What is samplr?
A cognitive-science sampling package ships once, then goes quiet for eighteen months
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
BIOMASS vs samplr: editorial side-by-side
BIOMASS
0.0INFRA · APIS
A tropical-forest biomass staple modernising its geospatial stack without saying so
◆ Current state
BIOMASS estimates aboveground biomass and its uncertainty in tropical forests and is well established in that niche. Its public changelog is close to empty: the most recent entry, 2.2.4, is a thirty-four character pointer to the NEWS file. The last release with readable content, 2.1.11, bundled six versions of work whose substantive part was migrating off sp and raster to sf and terra, and from httr to httr2.
◆ Where it's heading
The visible arc is dependency modernisation and CRAN compliance rather than science: retiring sp and raster ahead of their deprecation, failing gracefully when taxonomic services are unreachable, and repeatedly changing taxonomic backend as those services disappeared — taxosaurus to TNRS, then away from Tropicos once it was no longer maintained. The recurring fragility is correctTaxo(), which depends on third-party name resolution outside the maintainers' control.
◆ Prediction
Expect the next release to be another compliance or dependency response; on this feed's record the release notes will not say what changed, leaving the NEWS file as the only reliable source.
samplr
0.0INFRA · APIS
A cognitive-science sampling package ships once, then goes quiet for eighteen months
◆ Current state
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
◆ Where it's heading
The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.
◆ Prediction
Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.
Alternatives to BIOMASS and samplr
Other Infra & APIs 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 BIOMASS or samplr.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
nzilbb.vowels
A vowel-analysis package trimming dependencies after an email address got it archived.
emuR
The R half of the EMU speech database system, fixing what was quietly broken.
BAS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all BIOMASS alternatives → · See all samplr alternatives →
Recent activity from BIOMASS and samplr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agosamplrMean_Variance() row count corrected after eighteen months
- 11mo agoBIOMASSVersion 2.2.4 released on CRAN
- 1y agoBIOMASSMigration from sp/raster to sf/terra and httr to httr2
- 1y agosamplrFloating point comparison fix
- 1y agosamplrsamplr 1.0.0
- 5y agoBIOMASSTNRS replaces taxosaurus for name resolution
Frequently asked questions
What is the difference between BIOMASS and samplr?
They serve adjacent needs but don't currently overlap on shipped themes. BIOMASS and samplr 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 BIOMASS better than samplr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BIOMASS and samplr 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to BIOMASS?
Top BIOMASS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BIOMASS alternatives" section above for the current picks, or visit /alternatives/biomass for the full list with editorial commentary on each.
What are the best alternatives to samplr?
Top samplr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "samplr alternatives" section above for the current picks, or visit /alternatives/samplr for the full list with editorial commentary on each.