datefixR
The messy-date parser rewrote its core in Rust and came out 300x faster.
A side-by-side editorial comparison of ReLTER and sftime — release velocity, themes, recent moves, and the top alternatives to consider.
An interface to Europe's long-term ecosystem research network that went quiet after 2.0.
ReLTER provides programmatic access to the eLTER network — the European long-term ecosystem research infrastructure — pulling site metadata, datasets and activities from DEIMS-SDR and enriching them with taxonomic resolution via PESI and WORMS and raster layers from European OpenDataScience. Version 1.0.0 consolidated the function surface and passed into rOpenSci review; 1.1.0 addressed the reviewers' feedback and added vignettes and a Docker install path. Version 2.0.0 was tagged in late 2022 with release notes consisting only of a merge commit message, and nothing has shipped since.
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.
ReLTER provides programmatic access to the eLTER network — the European long-term ecosystem research infrastructure — pulling site metadata, datasets and activities from DEIMS-SDR and enriching them with taxonomic resolution via PESI and WORMS and raster layers from European OpenDataScience. Version 1.0.0 consolidated the function surface and passed into rOpenSci review; 1.1.0 addressed the reviewers' feedback and added vignettes and a Docker install path. Version 2.0.0 was tagged in late 2022 with release notes consisting only of a merge commit message, and nothing has shipped since.
The visible arc runs from a scattered set of getSite* functions to a reviewed, documented package, and then stops. The absence of notes on the 2.0.0 tag makes it impossible to say from this feed what that major version changed, and the three-year silence afterwards is the more informative signal. What the package does remains useful — the eLTER data it wraps has no other R interface — but the release history gives no evidence of active development.
Nothing in these entries supports a confident prediction about future releases; the feed shows a major version with no notes followed by silence. Whether the package is dormant or simply publishing releases elsewhere cannot be determined from what is here.
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.
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.
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.
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 ReLTER or sftime.
The messy-date parser rewrote its core in Rust and came out 300x faster.
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
R help pages translated on demand by whichever LLM you point it at.
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
The tidyverts forecasting core rebuilt model combination on full residual covariance.
See all ReLTER alternatives → · See all sftime alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ReLTER and sftime 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ReLTER and sftime 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.
Top ReLTER alternatives in Analytics are ranked by recent ship velocity. Browse the "ReLTER alternatives" section above for the current picks, or visit /alternatives/relter for the full list with editorial commentary on each.
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.