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sdsfun alternatives

The best sdsfun alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 17, 2026

Looking for the best alternatives to sdsfun? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, sdsfun 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 sdsfun

A spatial-statistics utility package exists to be depended on, and is built accordingly.

sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.

Velocity 0.0 · Last update 48m ago

Read the full sdsfun trajectory →

Top 12 alternatives to sdsfun

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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sdsfun 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.

ProductVelocitySparks · 30dFocus areasLatest release
sdsfun (baseline)0.00spatial-statisticsgeodetectorspatial-clustering
TidyDensity0.00statistical-distributionsrandom-generationparameter-estimation
cfbfastr0.00college-footballsports-analyticsapi-migrationRebuilt on CFBD API v2 with metered access and live endpoints
rnpn0.00phenologyapi-clientecological-dataDependency stack and return types replaced wholesale
GeneNMF0.00single-cell-genomicsnmfgene-programsMeta-programs rebuilt on gene weight vectors and cosine similarity
rempsyc0.00apa-formattingpsychology-researchstatistical-tables
eulerr0.00euler-diagramsset-visualizationoptimization
intsurv0.00survival-analysiscure-modelscensored-data
miscmetabar0.00metabarcodingphyloseqbioinformatics
arcgisutils0.00arcgisgeospatialapi-clientPortal administration and geoprocessing jobs join the utility layer
bootStateSpace0.00state-space-modelsparametric-bootstrappsychometrics
benviplot0.00data-visualizationcolor-palettesggplot2
labelled0.00survey-datadata-labelsstata-spss

The 12 best sdsfun alternatives, in depth

1. TidyDensity · velocity 0.0

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, TidyDensity focuses on statistical distributions, random generation and parameter estimation.

TidyDensity and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

2. cfbfastr · velocity 0.0

College football's open data client hit v2 — and now reports how many API calls you have left.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Rebuilt on CFBD API v2 with metered access and live endpoints”.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, cfbfastr focuses on college football, sports analytics and api migration.

cfbfastr and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. rnpn · velocity 0.0

The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dependency stack and return types replaced wholesale”.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, rnpn focuses on phenology, api client and ecological data.

rnpn and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. GeneNMF · velocity 0.0

GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Meta-programs rebuilt on gene weight vectors and cosine similarity”.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, GeneNMF focuses on single cell genomics, nmf and gene programs.

GeneNMF and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. rempsyc · velocity 0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, rempsyc focuses on apa formatting, psychology research and statistical tables.

rempsyc and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. eulerr · velocity 0.0

The area-proportional Euler diagram package is finished software, and maintained like it.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, eulerr focuses on euler diagrams, set visualization and optimization.

eulerr and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. intsurv · velocity 0.0

A Cox cure-rate model package woke up after four years to simplify its own interface.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, intsurv focuses on survival analysis, cure models and censored data.

intsurv and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. miscmetabar · velocity 0.0

A phyloseq toolbox keeps absorbing metabarcoding methods, and has started splitting into a family.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, miscmetabar focuses on metabarcoding, phyloseq and bioinformatics.

miscmetabar and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. arcgisutils · velocity 0.0

The R-ArcGIS plumbing layer grew a portal administration API and geoprocessing job support.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Portal administration and geoprocessing jobs join the utility layer”.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, arcgisutils focuses on arcgis, geospatial and api client.

arcgisutils and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. bootStateSpace · velocity 0.0

A parametric bootstrap for state-space models, shipped and then left alone.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, bootStateSpace focuses on state space models, parametric bootstrap and psychometrics.

bootStateSpace and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. benviplot · velocity 0.0

A Brazilian housing-data palette package went from internal tooling to public 1.0 in five days.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, benviplot focuses on data visualization, color palettes and ggplot2.

benviplot and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. labelled · velocity 0.0

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where sdsfun leans on spatial statistics, geodetector and spatial clustering, labelled focuses on survey data, data labels and stata spss.

labelled and sdsfun have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to sdsfun?

The top sdsfun alternatives we currently track in analytics tools are TidyDensity, cfbfastr, rnpn, GeneNMF, rempsyc, ranked by recent ship velocity.

How is this list of sdsfun alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare sdsfun directly with one of these alternatives?

Yes — every card has a "Compare with sdsfun" link to a side-by-side /compare page.