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hdnom alternatives

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

Updated Aug 15, 2026

Looking for the best alternatives to hdnom? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, hdnom shipped 0 meaningful updates in the last 30 days and carries a velocity score of 5.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About hdnom

hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to

hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.

Velocity 5.0 · Last update 1h ago

Read the full hdnom trajectory →

Top 12 alternatives to hdnom

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

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hdnom 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
hdnom (baseline)5.00survival analysisrregularization
factoextra3.81dimension reductionrggplot2factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes
rncl2.50phylogeneticsfile-parsingcran-maintenance
APCalign2.50taxonomyraustralian flora
ggsci2.50color palettesggplot2rggsci 5.0.0 generates categorical colors instead of serving a fixed list
ggcorrplot2.50correlationrggplot2
rstatix2.50statisticsreffect sizesrstatix 1.0.0 stops rounding p-values before adjusting them
trias0.00invasive-speciesbiodiversitygbif
icesSAG0.00fisheries-scienceapi-clienticesEvery function repointed at a new API, with JWT auth
dggridR0.00discrete-global-gridsspatial-indexinggeospatialCell neighbors, parents and children make the grid navigable
vegan0.00community-ecologyordinationdeprecationOrdination graphics rebuilt and adonis made defunct
ichimoku0.00financial-chartingtechnical-analysisdependency-reduction
filearray0.00on-disk-arraysmemory-safetyc++

The 12 best hdnom alternatives, in depth

1. factoextra · velocity 3.8

Factoextra woke from six years of silence and stopped being a FactoMineR front-end.

Over the last 30 days factoextra shipped 1 meaningful update vs hdnom's 0, most recently “factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes”. Its velocity score of 3.8/10 blends that with longer-term release cadence.

Where hdnom leans on survival analysis, r and regularization, factoextra focuses on dimension reduction, r and ggplot2.

Over the last 30 days factoextra has been shipping faster than hdnom — a point in its favour if release momentum matters to you.

2. rncl · velocity 2.5

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where hdnom leans on survival analysis, r and regularization, rncl focuses on phylogenetics, file parsing and cran maintenance.

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

3. APCalign · velocity 2.5

APCalign spent this year fixing the counts it had been quietly getting wrong.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where hdnom leans on survival analysis, r and regularization, APCalign focuses on taxonomy, r and australian flora.

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

4. ggsci · velocity 2.5

Ggsci quietly became a palette mirror, then taught itself to generate colors on demand.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “ggsci 5.0.0 generates categorical colors instead of serving a fixed list”.

Where hdnom leans on survival analysis, r and regularization, ggsci focuses on color palettes, ggplot2 and r.

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

5. ggcorrplot · velocity 2.5

Ggcorrplot came back after four years and found its significance markers had been lying.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where hdnom leans on survival analysis, r and regularization, ggcorrplot focuses on correlation, r and ggplot2.

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

6. rstatix · velocity 2.5

Rstatix hit 1.0 by unrounding every p-value it has ever returned.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “rstatix 1.0.0 stops rounding p-values before adjusting them”.

Where hdnom leans on survival analysis, r and regularization, rstatix focuses on statistics, r and effect sizes.

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

7. trias · velocity 0.0

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

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

Where hdnom leans on survival analysis, r and regularization, trias focuses on invasive species, biodiversity and gbif.

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

8. icesSAG · velocity 0.0

The ICES stock assessment client took upload away in 2024 and spent two years giving it back.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Every function repointed at a new API, with JWT auth”.

Where hdnom leans on survival analysis, r and regularization, icesSAG focuses on fisheries science, api client and ices.

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

9. dggridR · velocity 0.0

A discrete global grid generator grew cell traversal and became a usable spatial index.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Cell neighbors, parents and children make the grid navigable”.

Where hdnom leans on survival analysis, r and regularization, dggridR focuses on discrete global grids, spatial indexing and geospatial.

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

10. vegan · velocity 0.0

Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Ordination graphics rebuilt and adonis made defunct”.

Where hdnom leans on survival analysis, r and regularization, vegan focuses on community ecology, ordination and deprecation.

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

11. ichimoku · velocity 0.0

A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.

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

Where hdnom leans on survival analysis, r and regularization, ichimoku focuses on financial charting, technical analysis and dependency reduction.

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

12. filearray · velocity 0.0

The on-disk array layer under RAVE spends its releases hunting segfaults.

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

Where hdnom leans on survival analysis, r and regularization, filearray focuses on on disk arrays, memory safety and c++.

filearray and hdnom 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 hdnom?

The top hdnom alternatives we currently track in analytics tools are factoextra, rncl, APCalign, ggsci, ggcorrplot, ranked by recent ship velocity.

How is this list of hdnom alternatives ranked?

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

Can I compare hdnom directly with one of these alternatives?

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