compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
A side-by-side editorial comparison of hubUtils and lazyeval — release velocity, themes, recent moves, and the top alternatives to consider.
The hubverse's shared plumbing, tracking schema versions and converting output types.
hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.
A package retired in 2017 just got rewritten against R's public C API.
lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.
hubUtils is the low-level dependency the rest of the hubverse builds on: schema version tracking, config file reading, example test hubs, and conversion between forecast output types. Its releases are small and cadenced to the hubverse schema itself, with a version bump arriving whenever the config schema advances. The recent work is performance rather than surface.
The through-line is that this package absorbs whatever the schema is doing — v5, then v6 with target-data configuration, each arriving with matching accessors and example hubs so the sibling packages can be tested against something real. convert_output_type() is the one piece of genuine computation here, and it has now been optimised by roughly an order of magnitude, suggesting it is being used at scales the original implementation did not anticipate. Everything else is accessors and fixtures.
Expect the next substantive release to track the next hubverse schema version, with any independent work concentrated on convert_output_type(), the only performance-sensitive function in the package.
lazyeval was the tidyverse's pre-rlang non-standard evaluation layer, formally set aside in 2017 when tidy evaluation replaced it. After eight and a half years without a release, 0.2.3 arrives as a compliance rewrite: the implementation now uses R's public C API, and the release note states it may differ from the historical one in subtle ways. Nothing about the package's role has changed.
This is a dormancy revival driven entirely from outside, R core tightening what counts as the public C API forces packages using older internals to be rewritten or be archived. lazyeval is still a dependency deep in older package trees, so keeping it installable matters more than developing it. The caveat about subtle behavioural differences is the notable part: a package nobody is developing has changed behaviour in ways its release note declines to enumerate.
Expect no further development, only additional compliance releases if R core tightens the C API again.
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 hubUtils or lazyeval.
An MLE package rebuilt around composable solvers, then renamed to match.
nabla dropped its C++ engine to chase exact derivatives at any order.
Eight months from first release to keyring caching and workload identity.
A research-project workflow package where the interesting work is in the plumbing.
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
See all hubUtils alternatives → · See all lazyeval alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. hubUtils and lazyeval 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. hubUtils and lazyeval 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 hubUtils alternatives in Analytics are ranked by recent ship velocity. Browse the "hubUtils alternatives" section above for the current picks, or visit /alternatives/hubutils for the full list with editorial commentary on each.
Top lazyeval alternatives in Analytics are ranked by recent ship velocity. Browse the "lazyeval alternatives" section above for the current picks, or visit /alternatives/lazyeval for the full list with editorial commentary on each.