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Comparison · Analytics

epikit vs tmap

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

epikit vs tmap: at a glance

Featureepikittmap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, field-data, date-handling, r-packagethematic-mapping, spatial-data, ggplot-alternative, extensibility
Last editorial update53m ago5h ago
WebsiteVisit →Visit →

What is epikit?

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

Read the full epikit trajectory →

What is tmap?

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

Read the full tmap trajectory →

epikit vs tmap: editorial side-by-side

E
epikit
ANALYTICS
0.0

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

◆ Current state

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

◆ Where it's heading

The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.

◆ Prediction

With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.

T
tmap
ANALYTICS
0.0

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

◆ Current state

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

◆ Where it's heading

The extension mechanism introduced in 4.0 is where the interesting work is migrating: PMTiles support arrived through a separate experimental tmap.sources package, mode cycling became configurable via tmap_mode_pool() so packages like tmap.mapgl can register themselves, and shiny dispatch methods were added specifically to let other modes integrate. The core package is increasingly a rendering contract that satellite packages plug into.

◆ Prediction

Expect more rendering backends to land as sibling packages rather than in tmap itself, with the core continuing to absorb the dispatch and mode-management plumbing they need.

Alternatives to epikit and tmap

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 epikit or tmap.

See all epikit alternatives → · See all tmap alternatives →

Recent activity from epikit and tmap

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

  1. 1mo agotmapDocumentation-only patch tidying man-page titles
  2. 1mo agotmaptm_circles, layer blending and clickable small objects
  3. 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
  4. 1y agotmaptmap v4 rewritten from scratch with a new layer syntax
  5. 1y agotmapFinal 3.x release before the v4 rewrite
  6. 3y agoepikitFunctions rearranged across sibling packages
  7. 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
  8. 5y agoepikitCompatibility release for dplyr 1.0.0
  9. 6y agoepikitFirst CRAN release

Frequently asked questions

What is the difference between epikit and tmap?

They serve adjacent needs but don't currently overlap on shipped themes. epikit and tmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is epikit better than tmap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epikit and tmap are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to epikit?

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

What are the best alternatives to tmap?

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