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epiflows vs ggsci

A side-by-side editorial comparison of epiflows and ggsci — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r

epiflows vs ggsci: at a glance

Featureepiflowsggsci
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr, epidemiology, dormant, maintenancecolor palettes, ggplot2, r, data visualization
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is epiflows?

epiflows has shipped four releases in eight years, none of which changed the code.

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

Read the full epiflows trajectory →

What is 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.

Read the full ggsci trajectory →

epiflows vs ggsci: editorial side-by-side

E
epiflows
ANALYTICS
0.0

epiflows has shipped four releases in eight years, none of which changed the code.

◆ Current state

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

◆ Where it's heading

The package is being kept installable rather than developed. The one recent release is dependency maintenance contributed from outside, which is the pattern for RECON-era epidemiology packages that have outlived their original project funding. Two separate entries are both labelled version 0.2.1, so even the version history is not a reliable guide to what changed.

◆ Prediction

Any further releases will most likely be more deprecation cleanup to keep the package on CRAN; there is nothing in the record suggesting active development has resumed.

G
ggsci
ANALYTICS
2.5

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

◆ Current state

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.

◆ Where it's heading

Two threads run in parallel. The larger one is curation: ggsci has effectively become a distribution channel for upstream color work, adding design-system palettes (Primer, Atlassian, Bootstrap, Tailwind) and re-syncing iTerm as that project changes, including correcting existing color values when upstream moves. The smaller and more interesting one is generation — the Gephi engine sidesteps the ceiling every fixed palette has, which is what happens when a plot needs more categories than any curated set provides.

◆ Prediction

Given how much of the release notes each cycle is a mechanical upstream sync, the plausible next step is automating those syncs rather than adding another vendor palette by hand; the Gephi generator is the more likely place any genuinely new capability appears.

Alternatives to epiflows and ggsci

Other Analytics 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 epiflows or ggsci.

See all epiflows alternatives → · See all ggsci alternatives →

Recent activity from epiflows and ggsci

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 15d agoggsciggsci 5.2.0
  2. 1mo agoggsciggsci 5.1.0
  3. 4mo agoggsciggsci 5.0.0 generates categorical colors instead of serving a fixed list
  4. 4mo agoggsciggsci 4.3.0
  5. 5mo agoepiflowsDeprecated ggplot2 and tibble calls replaced
  6. 8mo agoggsciggsci 4.2.0
  7. 9mo agoggsciggsci 4.1.0
  8. 3y agoepiflowsRoxygen patch for CRAN checks
  9. 7y agoepiflowsFirst Zenodo archival tag
  10. 8y agoepiflowsFirst CRAN release

Frequently asked questions

What is the difference between epiflows and ggsci?

Both compete on the same themes — r — within Analytics. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is epiflows better than ggsci?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsci is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to epiflows?

Top epiflows alternatives in Analytics are ranked by recent ship velocity. Browse the "epiflows alternatives" section above for the current picks, or visit /alternatives/epiflows-r for the full list with editorial commentary on each.

What are the best alternatives to ggsci?

Top ggsci alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsci alternatives" section above for the current picks, or visit /alternatives/ggsci for the full list with editorial commentary on each.