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Comparison · Infra & APIs
exametrika vs samplr
A side-by-side editorial comparison of exametrika and samplr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
exametrika vs samplr: at a glance
What is exametrika?
exametrika breaks its own numbers to fix them, and ships the fit statistic nominal data lacked.
exametrika is an R psychometrics package covering IRT, latent class and rank analysis, and biclustering. Version 2.0.0 is a deliberate break: an EM convergence defect inherited from the reference implementation stopped estimation after as little as one cycle while reporting convergence, so every EM-based model in the package now returns different estimates than it did before. The package no longer reproduces the numbers printed in Shojima (2022), and the maintainer says so directly rather than burying it. The deprecation removals promised since 1.15.0 ride along in the same release, and the package title changed to Test Data Engineering.
What is samplr?
A cognitive-science sampling package ships once, then goes quiet for eighteen months
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
exametrika vs samplr: editorial side-by-side
exametrika
3.8INFRA · APIS
exametrika breaks its own numbers to fix them, and ships the fit statistic nominal data lacked.
◆ Current state
exametrika is an R psychometrics package covering IRT, latent class and rank analysis, and biclustering. Version 2.0.0 is a deliberate break: an EM convergence defect inherited from the reference implementation stopped estimation after as little as one cycle while reporting convergence, so every EM-based model in the package now returns different estimates than it did before. The package no longer reproduces the numbers printed in Shojima (2022), and the maintainer says so directly rather than burying it. The deprecation removals promised since 1.15.0 ride along in the same release, and the package title changed to Test Data Engineering.
◆ Where it's heading
The consolidation arc that ran through 1.14.0 and 1.15.0 has closed, but not the way the audit trail suggested it would. Rather than pausing new modelling work through the cleanup, 2.0.0 pairs the breaking removals with real capability: M2() and add_M2() bring a limited-information fit statistic with a full margin-based index set, order-restricted estimation becomes the default for Ranklustering on the strength of a higher likelihood, and LCA() picks up nominal and rated data. The correctness fixes share one shape - defects that got worse as data got larger, where a 700-respondent dataset silently merged fields and a 40-item test returned no assignments at all. A two-tier test suite now keeps 3,507 tests in CI while CRAN sees a 17-second subset.
◆ Prediction
With the deprecation backlog cleared and the EM core rewritten, the next releases have room to build on M2() - most plausibly extending the margin-based indices to the models that do not yet report them. Whether the R Journal submission that shaped 1.13.1 and 1.14.0 has landed is not visible in these entries.
samplr
0.0INFRA · APIS
A cognitive-science sampling package ships once, then goes quiet for eighteen months
◆ Current state
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
◆ Where it's heading
The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.
◆ Prediction
Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.
Alternatives to exametrika and samplr
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 exametrika or samplr.
Retool
Retool now debugs the apps its agent builds, and versions them across instances.
nuggets
A pattern-mining package that keeps making its own search cheaper rather than wider.
Traefik
Traefik's 2.11 line spends August fixing the names it generates for Kubernetes resources.
NGINX
nginx returns to feature work with PROXY v2 upstream writes, and quietly adds JSON to core.
ESPHome
ESPHome closes the 2026.8 cycle, but the release body is a bare link to the real notes.
See all exametrika alternatives → · See all samplr alternatives →
Recent activity from exametrika and samplr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoexametrikaEM convergence fix changes every estimate; deprecated names removed ⚡
- 1mo agoexametrikaFull-codebase audit fixes silent result corruption, unifies arguments
- 2mo agoexametrikaPlot methods finally forward the graphical parameters they documented
- 3mo agoexametrikaCRAN resubmission: slow tests skipped to fit the check budget
- 3mo agoexametrikaGraphical Lasso and Chatterjee's xi extend the package into network estimation ⚡
- 3mo agoexametrikaFrozen research baseline, never released to CRAN
- 5mo agosamplrMean_Variance() row count corrected after eighteen months
- 2y agosamplrFloating point comparison fix
- 2y agosamplrsamplr 1.0.0
Frequently asked questions
What is the difference between exametrika and samplr?
Both compete on the same themes — r-package — within Infra & APIs. exametrika is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is exametrika better than samplr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. exametrika is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to exametrika?
Top exametrika alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "exametrika alternatives" section above for the current picks, or visit /alternatives/exametrika for the full list with editorial commentary on each.
What are the best alternatives to samplr?
Top samplr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "samplr alternatives" section above for the current picks, or visit /alternatives/samplr for the full list with editorial commentary on each.