Buildkite
Buildkite keeps converting hand-rolled agent workarounds into first-class CI primitives.
A side-by-side editorial comparison of admtools and logbin — release velocity, themes, recent moves, and the top alternatives to consider.
The age-depth engine under a small stratigraphy stack, growing one adapter at a time
admtools estimates and manipulates age-depth models, with the generics time_to_strat() and strat_to_time() as the transformation layer a small stratigraphy stack is built on. Since 0.1.0 it has accumulated the S3 vocabulary that work needs — sac for sediment accumulation curves, timelist and stratlist for time- and height-associated data — and then adapters outward: pre_paleoTS for StratPal and paleoTS in 0.4.0, FossilSim taxonomy and fossils objects in 0.5.0, and age-to-time transformation for FossilSim in 0.6.0. Version 0.5.0 also added what it calls basic functionality for depth-depth models alongside the age-depth ones.
Relative-risk regression that converges where glm fails, under an unreadable tag order
logbin fits log-binomial models to estimate relative risk, a fit standard glm frequently fails to converge on because of the constrained parameter space. Its answer is a choice of algorithms — adaptive barrier, combinatorial EM, and expectation-maximisation on an overparameterised model — selected through a method argument and optionally accelerated with turboEM. The most recent release, in April 2025, replaces the variance-covariance calculation in summary.logbin so it matches summary.glm, and adds a testthat suite.
admtools estimates and manipulates age-depth models, with the generics time_to_strat() and strat_to_time() as the transformation layer a small stratigraphy stack is built on. Since 0.1.0 it has accumulated the S3 vocabulary that work needs — sac for sediment accumulation curves, timelist and stratlist for time- and height-associated data — and then adapters outward: pre_paleoTS for StratPal and paleoTS in 0.4.0, FossilSim taxonomy and fossils objects in 0.5.0, and age-to-time transformation for FossilSim in 0.6.0. Version 0.5.0 also added what it calls basic functionality for depth-depth models alongside the age-depth ones.
This package moves in step with StratPal, from the same group: admtools 0.4.0 shipped its pre_paleoTS transformations fifty-seven minutes before StratPal released the class itself, and both took on FossilSim within a month of each other in spring 2025. The pattern is consistent — establish generics, define classes, then connect to whatever package the field already uses. The depth-depth work is the one thread pointing inward rather than outward, and it is still described as basic.
Depth-depth models are the obvious thing to finish, since they mirror age-depth machinery the package already has; expect any release here to be shadowed by a matching change in StratPal within weeks either side.
logbin fits log-binomial models to estimate relative risk, a fit standard glm frequently fails to converge on because of the constrained parameter space. Its answer is a choice of algorithms — adaptive barrier, combinatorial EM, and expectation-maximisation on an overparameterised model — selected through a method argument and optionally accelerated with turboEM. The most recent release, in April 2025, replaces the variance-covariance calculation in summary.logbin so it matches summary.glm, and adds a testthat suite.
The method work concluded in 2021 and the package has since been aligned with base R conventions rather than extended: the vcov calculation now mirrors glm's, and earlier releases added the contrasts, qr, R and effects components so standard glm S3 methods such as influence() and plot() work on logbin objects. Be warned that the feed's tag order is unusable — versions 2.0, 2.0.1, 2.0.2 and 2.0.4 were all pushed within ninety seconds on 23 July 2021 in non-monotonic order, while 2.0.3 carries a 2017 timestamp and restates 2.0.2's notes. Read the bodies, not the sequence.
Expect continued alignment with glm conventions and occasional CRAN maintenance; the algorithm set has been stable for four years and nothing in these entries suggests another is planned.
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 admtools or logbin.
Buildkite keeps converting hand-rolled agent workarounds into first-class CI primitives.
Cursor's agents stop waiting to be asked - they subscribe, and they hold a goal until it's done.
Nexus does the diagnosis; the agent is now reaching into the status page too.
Warp turned its quarter of software-factory essays into infrastructure you can buy.
Okta's developer blog is a Cross App Access campaign, now diluted by advocacy-team storytelling.
A leaf-temperature model that finished its job in 2020 and has stayed finished
See all admtools alternatives → · See all logbin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. admtools and logbin 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. admtools and logbin 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 admtools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "admtools alternatives" section above for the current picks, or visit /alternatives/admtools for the full list with editorial commentary on each.
Top logbin alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "logbin alternatives" section above for the current picks, or visit /alternatives/logbin for the full list with editorial commentary on each.