The D-score reference implementation rebuilt its measurement foundation on seven countries.
serocalculator alternatives
The best serocalculator alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to serocalculator? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, serocalculator 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 serocalculator
A seroincidence engine grows up: whole API renamed, then clustered survey designs
serocalculator turns cross-sectional antibody measurements into infection-rate estimates, and it spent its last two releases making itself safe to depend on. Version 1.4.0 renamed nearly every user-facing function into a consistent est_seroincidence()/sr_params vocabulary; 1.4.1 shipped the migration crosswalk that admits how much that broke. The newest capability is cluster-robust variance estimation for household- and school-based surveys.
Velocity 0.0 · Last update 54m ago
Top 12 alternatives to serocalculator
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
A football-viz package just swapped scraping for an API and broke its own output to do it.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A cognitive-science sampling package ships once, then goes quiet for eighteen months
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Spatial thinning grows a result object, and the API breaks to make room for it
A dormant plant-breeding package returns as a genomic selection index suite
CRAN download analytics maintained one micro-change at a time, hundreds per year
serocalculator 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 |
|---|---|---|---|---|
| serocalculator (baseline) | 0.0 | 0 | serologysurvey-designcluster-robust | Cluster-robust standard errors for household and school surveys |
| dscore | 0.0 | 0 | child-developmentpsychometricsglobal-health | dscore 2.0.0 |
| ggfootball | 0.0 | 0 | sports-analyticsr-packagedata-scraping | ggfootball 0.3.0 |
| goat | 0.0 | 0 | bioinformaticsgene-set-analysisr-package | Gene sets beyond human, and analyses you can reload |
| rollupTree | 0.0 | 0 | recursive-computationtree-structuresdag | — |
| massProps | 0.0 | 0 | systems-engineeringmass-propertiesuncertainty-propagation | — |
| writeAlizer | 0.0 | 0 | writing-assessmentnlp-featuresmodel-artifacts | — |
| samplr | 0.0 | 0 | cognitive-sciencesampling-algorithmsmcmc | — |
| stochvol | 0.0 | 0 | bayesian-inferencestochastic-volatilitymcmc | — |
| midr | 0.0 | 0 | explainable-aisurrogate-modelsshapley | Matrix responses bring multi-class and survival models in scope |
| GeoThinneR | 0.0 | 0 | spatial-thinningspecies-distributionoccurrence-data | GeoThinned result objects and a reorganised method surface |
| selection.index | 0.0 | 0 | plant-breedingselection-indexgenomic-selection | Genomic, marker and multi-stage selection indices on an Rcpp core |
| packageRank | 0.0 | 0 | crandownload-analyticslog-filtering | — |
The 12 best serocalculator alternatives, in depth
1. dscore · velocity 0.0
The D-score reference implementation rebuilt its measurement foundation on seven countries.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “dscore 2.0.0”.
Where serocalculator leans on serology, survey design and cluster robust, dscore focuses on child development, psychometrics and global health.
dscore and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full dscore trajectory → · Compare serocalculator vs dscore →
2. ggfootball · velocity 0.0
A football-viz package just swapped scraping for an API and broke its own output to do it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “ggfootball 0.3.0”.
Where serocalculator leans on serology, survey design and cluster robust, ggfootball focuses on sports analytics, r package and data scraping.
ggfootball and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggfootball trajectory → · Compare serocalculator vs ggfootball →
3. goat · velocity 0.0
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Gene sets beyond human, and analyses you can reload”.
Where serocalculator leans on serology, survey design and cluster robust, goat focuses on bioinformatics, gene set analysis and r package.
goat and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. rollupTree · velocity 0.0
The recursive-computation engine under massProps grows the accessors its consumer needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, rollupTree focuses on recursive computation, tree structures and dag.
rollupTree and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rollupTree trajectory → · Compare serocalculator vs rollupTree →
5. massProps · velocity 0.0
A mass-properties rollup spends a year on documentation and follows its sibling's API.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, massProps focuses on systems engineering, mass properties and uncertainty propagation.
massProps and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full massProps trajectory → · Compare serocalculator vs massProps →
6. writeAlizer · velocity 0.0
Six months of releases and not one of them touched the scoring models.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, writeAlizer focuses on writing assessment, nlp features and model artifacts.
writeAlizer and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full writeAlizer trajectory → · Compare serocalculator vs writeAlizer →
7. samplr · velocity 0.0
A cognitive-science sampling package ships once, then goes quiet for eighteen months.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, samplr focuses on cognitive science, sampling algorithms and mcmc.
samplr and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full samplr trajectory → · Compare serocalculator vs samplr →
8. stochvol · velocity 0.0
A Bayesian volatility sampler in its maintenance decade, paying for its own speed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, stochvol focuses on bayesian inference, stochastic volatility and mcmc.
stochvol and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full stochvol trajectory → · Compare serocalculator vs stochvol →
9. midr · velocity 0.0
A black-box interpreter reaches CRAN, then learns multi-class and survival responses.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Matrix responses bring multi-class and survival models in scope”.
Where serocalculator leans on serology, survey design and cluster robust, midr focuses on explainable ai, surrogate models and shapley.
midr and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. GeoThinneR · velocity 0.0
Spatial thinning grows a result object, and the API breaks to make room for it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.
Where serocalculator leans on serology, survey design and cluster robust, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.
GeoThinneR and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full GeoThinneR trajectory → · Compare serocalculator vs GeoThinneR →
11. selection.index · velocity 0.0
A dormant plant-breeding package returns as a genomic selection index suite.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.
Where serocalculator leans on serology, survey design and cluster robust, selection.index focuses on plant breeding, selection index and genomic selection.
selection.index and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full selection.index trajectory → · Compare serocalculator vs selection.index →
12. packageRank · velocity 0.0
CRAN download analytics maintained one micro-change at a time, hundreds per year.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where serocalculator leans on serology, survey design and cluster robust, packageRank focuses on cran, download analytics and log filtering.
packageRank and serocalculator have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full packageRank trajectory → · Compare serocalculator vs packageRank →
Frequently asked questions
What are the best alternatives to serocalculator?
The top serocalculator alternatives we currently track in developer tools are dscore, ggfootball, goat, rollupTree, massProps, ranked by recent ship velocity.
How is this list of serocalculator alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare serocalculator directly with one of these alternatives?
Yes — every card has a "Compare with serocalculator" link to a side-by-side /compare page.