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Comparison · Analytics
epiflows vs tmap
A side-by-side editorial comparison of epiflows and tmap — release velocity, themes, recent moves, and the top alternatives to consider.
epiflows vs tmap: at a glance
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.
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.
epiflows vs tmap: editorial side-by-side
epiflows
0.0ANALYTICS
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.
tmap
0.0ANALYTICS
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 epiflows 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 epiflows or tmap.
epikit
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
broman
A statistician's personal toolbox, growing one plotting utility at a time
qtl
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all epiflows alternatives → · See all tmap alternatives →
Recent activity from epiflows and tmap
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotmapDocumentation-only patch tidying man-page titles
- 1mo agotmaptm_circles, layer blending and clickable small objects
- 5mo agoepiflowsDeprecated ggplot2 and tibble calls replaced
- 1y agotmaptmap v4 rewritten from scratch with a new layer syntax ⚡
- 1y agotmapFinal 3.x release before the v4 rewrite
- 3y agoepiflowsRoxygen patch for CRAN checks
- 7y agoepiflowsFirst Zenodo archival tag
- 8y agoepiflowsFirst CRAN release
Frequently asked questions
What is the difference between epiflows and tmap?
They serve adjacent needs but don't currently overlap on shipped themes. epiflows 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 epiflows better than tmap?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epiflows 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 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 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.