hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to
ggsci alternatives
The best ggsci alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to ggsci? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ggsci shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About ggsci
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.
Velocity 2.5 · Last update 1h ago
Top 12 alternatives to ggsci
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
factoextra woke from six years of silence and stopped being a FactoMineR front-end
A phylogenetics parser on life support, shipping only what CRAN's compilers demand.
APCalign spent this year fixing the counts it had been quietly getting wrong
ggcorrplot came back after four years and found its significance markers had been lying
rstatix hit 1.0 by unrounding every p-value it has ever returned
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
A discrete global grid generator grew cell traversal and became a usable spatial index.
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
The on-disk array layer under RAVE spends its releases hunting segfaults.
ggsci 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 |
|---|---|---|---|---|
| ggsci (baseline) | 2.5 | 0 | color palettesggplot2r | ggsci 5.0.0 generates categorical colors instead of serving a fixed list |
| hdnom | 5.0 | 0 | survival analysisrregularization | — |
| factoextra | 3.8 | 1 | dimension reductionrggplot2 | factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes |
| rncl | 2.5 | 0 | phylogeneticsfile-parsingcran-maintenance | — |
| APCalign | 2.5 | 0 | taxonomyraustralian flora | — |
| ggcorrplot | 2.5 | 0 | correlationrggplot2 | — |
| rstatix | 2.5 | 0 | statisticsreffect sizes | rstatix 1.0.0 stops rounding p-values before adjusting them |
| trias | 0.0 | 0 | invasive-speciesbiodiversitygbif | — |
| icesSAG | 0.0 | 0 | fisheries-scienceapi-clientices | Every function repointed at a new API, with JWT auth |
| dggridR | 0.0 | 0 | discrete-global-gridsspatial-indexinggeospatial | Cell neighbors, parents and children make the grid navigable |
| vegan | 0.0 | 0 | community-ecologyordinationdeprecation | Ordination graphics rebuilt and adonis made defunct |
| ichimoku | 0.0 | 0 | financial-chartingtechnical-analysisdependency-reduction | — |
| filearray | 0.0 | 0 | on-disk-arraysmemory-safetyc++ | — |
The 12 best ggsci alternatives, in depth
1. hdnom · velocity 5.0
Hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where ggsci leans on color palettes, ggplot2 and r, hdnom focuses on survival analysis, r and regularization.
hdnom and ggsci have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. 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 ggsci'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 ggsci leans on color palettes, ggplot2 and r, factoextra focuses on dimension reduction, r and ggplot2.
Over the last 30 days factoextra has been shipping faster than ggsci — a point in its favour if release momentum matters to you.
Full factoextra trajectory → · Compare ggsci vs factoextra →
3. 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 ggsci leans on color palettes, ggplot2 and r, rncl focuses on phylogenetics, file parsing and cran maintenance.
rncl and ggsci have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. 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 ggsci leans on color palettes, ggplot2 and r, APCalign focuses on taxonomy, r and australian flora.
APCalign and ggsci 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 ggsci leans on color palettes, ggplot2 and r, ggcorrplot focuses on correlation, r and ggplot2.
ggcorrplot and ggsci have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggcorrplot trajectory → · Compare ggsci vs ggcorrplot →
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 ggsci leans on color palettes, ggplot2 and r, rstatix focuses on statistics, r and effect sizes.
rstatix and ggsci 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 ggsci leans on color palettes, ggplot2 and r, trias focuses on invasive species, biodiversity and gbif.
trias and ggsci 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 ggsci leans on color palettes, ggplot2 and r, icesSAG focuses on fisheries science, api client and ices.
icesSAG and ggsci 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 ggsci leans on color palettes, ggplot2 and r, dggridR focuses on discrete global grids, spatial indexing and geospatial.
dggridR and ggsci 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 ggsci leans on color palettes, ggplot2 and r, vegan focuses on community ecology, ordination and deprecation.
vegan and ggsci 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 ggsci leans on color palettes, ggplot2 and r, ichimoku focuses on financial charting, technical analysis and dependency reduction.
ichimoku and ggsci 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 ggsci leans on color palettes, ggplot2 and r, filearray focuses on on disk arrays, memory safety and c++.
filearray and ggsci 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 ggsci?
The top ggsci alternatives we currently track in analytics tools are hdnom, factoextra, rncl, APCalign, ggcorrplot, ranked by recent ship velocity.
How is this list of ggsci alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ggsci directly with one of these alternatives?
Yes — every card has a "Compare with ggsci" link to a side-by-side /compare page.