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sftime vs ymlthis

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

sftime vs ymlthis: at a glance

Featuresftimeymlthis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesspatiotemporal, r-spatial, interoperability, tidyverse-integrationr-markdown, yaml, retirement, quarto
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is sftime?

The spatiotemporal companion to sf, moving at the pace of the packages around it.

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

Read the full sftime trajectory →

What is ymlthis?

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

Read the full ymlthis trajectory →

sftime vs ymlthis: editorial side-by-side

S
sftime
ANALYTICS
0.0

The spatiotemporal companion to sf, moving at the pace of the packages around it.

◆ Current state

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

◆ Where it's heading

The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.

◆ Prediction

Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.

Y
ymlthis
ANALYTICS
0.0

ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.

◆ Current state

ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.

◆ Where it's heading

The retirement is the endpoint of a long drift. Between 2020 and 2022 every release was reactive — patching around a crayon update that mangled rendered YAML, tracking shiny 1.6, following roxygen2 7.0.0, fixing a typo in an add-in. No new capability has landed in six years, and the four-year gap before 1.0.0 had already answered the question the release note finally makes explicit.

◆ Prediction

Nothing further of substance is expected — the stated policy is changes only where CRAN requires them, so the next release, if any, will be a compatibility patch.

Alternatives to sftime and ymlthis

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 sftime or ymlthis.

See all sftime alternatives → · See all ymlthis alternatives →

Recent activity from sftime and ymlthis

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

  1. 3mo agosftimeExamples switched to the native R pipe
  2. 5mo agoymlthisymlthis retired; Quarto covers the need
  3. 11mo agosftimeFixes the cubble namespace version check
  4. 1y agosftimeConverts from spatstat, sftrack and cubble objects
  5. 4y agoymlthisTypo fixed in the miniUI add-in check
  6. 4y agoymlthisyml_author() accepts yml_blank(); shiny fixes
  7. 4y agoymlthisciteproc handling moved to newer rmarkdown functions
  8. 5y agoymlthisPatched a crayon update that mangled rendered YAML
  9. 5y agoymlthisAdjustments for shiny 1.6

Frequently asked questions

What is the difference between sftime and ymlthis?

They serve adjacent needs but don't currently overlap on shipped themes. sftime and ymlthis 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 sftime better than ymlthis?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. sftime and ymlthis 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 sftime?

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

What are the best alternatives to ymlthis?

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