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Comparison · Infra & APIs
tealeaves vs vimp
A side-by-side editorial comparison of tealeaves and vimp — release velocity, themes, recent moves, and the top alternatives to consider.
tealeaves vs vimp: at a glance
What is tealeaves?
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.
What is vimp?
Algorithm-agnostic variable importance, settled since 2022 and now answering CRAN checks
vimp performs inference on variable importance measures that do not depend on the fitting algorithm, using sample-splitting so tests stay valid under the zero-importance null. The statistical design settled in 2022: predictiveness measures gained their own S3 class, point estimation was decoupled from inference through the final_point_estimate argument, and method and family moved to the outer functions so binary outcomes work. The two 2025 releases are a CRAN documentation fix and an edge-case correction for cutoff-based measures when every prediction is the same value.
tealeaves vs vimp: editorial side-by-side
tealeaves
0.0INFRA · APIS
A leaf-temperature model that finished its job in 2020 and has stayed finished
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
vimp
0.0INFRA · APIS
Algorithm-agnostic variable importance, settled since 2022 and now answering CRAN checks
◆ Current state
vimp performs inference on variable importance measures that do not depend on the fitting algorithm, using sample-splitting so tests stay valid under the zero-importance null. The statistical design settled in 2022: predictiveness measures gained their own S3 class, point estimation was decoupled from inference through the final_point_estimate argument, and method and family moved to the outer functions so binary outcomes work. The two 2025 releases are a CRAN documentation fix and an edge-case correction for cutoff-based measures when every prediction is the same value.
◆ Where it's heading
Substantive development ended in 2022, followed by one narrow addition — a cluster bootstrap for correlated data in 2023 — and two housekeeping releases. What remains visible are careful decisions about the boundary between estimation and inference, including the warning that a Wald interval will not be centred on the point estimate when the full-data or averaged option is used. The maintainer is keeping the package correct and installable rather than extending it.
◆ Prediction
Expect maintenance releases keyed to CRAN check changes; new predictiveness measures are the plausible extension, since the S3 class added in 2.3.0 was introduced specifically to make adding them simpler.
Alternatives to tealeaves and vimp
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 tealeaves or vimp.
Cursor
Cursor's agents stop waiting to be asked - they subscribe, and they hold a goal until it's done.
incident.io
Nexus does the diagnosis; the agent is now reaching into the status page too.
Warp
Warp turned its quarter of software-factory essays into infrastructure you can buy.
Okta
Okta's developer blog is a Cross App Access campaign, now diluted by advocacy-team storytelling.
Infisical
A credential platform assembled two or three pull requests at a time, never a headline
See all tealeaves alternatives → · See all vimp alternatives →
Recent activity from tealeaves and vimp
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agovimpUpdate PPV, NPV, Sensitivity, Specificity
- 1y agovimpFix documentation NOTEs
- 2y agovimpAdd cluster bootstrap
- 3y agovimpEnhanced VIM point estimation
- 3y agovimpS3 class for predictiveness measures
- 4y agovimpSpecify 'method' and 'family' in outer functions
- 4y agotealeavesCitation file, vignette and README fixes
- 6y agotealeavesParameter-crossing bug fixed with tests; coverage added
- 6y agotealeavesFix for custom sky temperature function being overwritten
- 6y agotealeavesSky temperature as value or function; dplyr 1.0.0 compatibility
- 7y agotealeavesUnitless parameter values now accepted and assigned units
- 7y agotealeavesFirst release: leaf energy balance with per-surface conductances
Frequently asked questions
What is the difference between tealeaves and vimp?
They serve adjacent needs but don't currently overlap on shipped themes. tealeaves and vimp 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 tealeaves better than vimp?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tealeaves and vimp 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.
What are the best alternatives to tealeaves?
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.
What are the best alternatives to vimp?
Top vimp alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "vimp alternatives" section above for the current picks, or visit /alternatives/vimp for the full list with editorial commentary on each.