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A side-by-side editorial comparison of rmake and tealeaves — release velocity, themes, recent moves, and the top alternatives to consider.
A Makefile generator for R projects keeps adding rule types instead of a build engine.
rmake generates GNU Make files for R analytical projects, so the dependency graph of an analysis is expressed in R and executed by make. The recent releases have widened the rule vocabulary with subdirectory and knitr rules, added stream redirection to make(), and started checking that GNU Make is actually present rather than assuming it.
A leaf-temperature model that finished its job in 2020 and has stayed finished
tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.
rmake generates GNU Make files for R analytical projects, so the dependency graph of an analysis is expressed in R and executed by make. The recent releases have widened the rule vocabulary with subdirectory and knitr rules, added stream redirection to make(), and started checking that GNU Make is actually present rather than assuming it.
The package is committed to delegating execution rather than reimplementing it, and the work reflects that: more rule constructors, better handling of the messy parts of shelling out, and dependency reduction. Adding hasGnuMake() and tests for its presence is the sort of change that follows real reports from users whose systems did not have it. Long command lines and filenames with spaces both got fixed, which is the usual tax on generating shell text.
Expect further rule constructors for common R document and compilation targets, and continued hardening of the generated Make syntax against unusual paths and long commands.
tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.
This is finished scientific software. The arc runs from a 1.0.0 that already described the full model, through a usability decision in 1.0.1 to accept unitless values and assign units rather than demand them, to a 2020 cluster of compatibility and correctness work around publication. Nothing since has touched the model, and the 2022 release is pure paperwork. Its most instructive entry remains 1.0.5, where a new feature silently produced incorrect parameter crossing and the fix arrived with tests to pin the behaviour.
Expect nothing unless a dependency or CRAN check forces a release; on this record any such release will be documentation and packaging rather than a change to the energy balance.
Other Infra & APIs 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 rmake or tealeaves.
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See all rmake alternatives → · See all tealeaves alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rmake and tealeaves 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. rmake and tealeaves 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 Infra & APIs products to evaluate alongside.
Top rmake alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rmake alternatives" section above for the current picks, or visit /alternatives/rmake for the full list with editorial commentary on each.
Top tealeaves alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tealeaves alternatives" section above for the current picks, or visit /alternatives/tealeaves for the full list with editorial commentary on each.