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Comparison · Infra & APIs

exametrika vs profoc

A side-by-side editorial comparison of exametrika and profoc — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

exametrika vs profoc: at a glance

Featureexametrikaprofoc
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themespsychometrics, irt, biclustering, api-consistencyforecasting, online-learning, r-package, rcpp
Last editorial update53m ago1d ago
WebsiteVisit →Visit →

What is exametrika?

A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.

exametrika is an R psychometrics package covering IRT, latent class/rank analysis, and biclustering, and it has been shipping features at an unusual clip for a CRAN package. The last two releases stopped adding capability and turned inward: 1.14.0 fixed a documented-but-never-implemented graphical-parameter passthrough, and 1.15.0 landed a full-codebase audit that corrected bugs which silently produced wrong results on missing data and 0-indexed polytomous codes. Argument names, orders, and defaults are now unified across the model functions, with every old name kept working behind a deprecation warning.

Read the full exametrika trajectory →

What is profoc?

A forecast combination package that spun its profiler out into its own project

profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.

Read the full profoc trajectory →

exametrika vs profoc: editorial side-by-side

E
exametrika
INFRA · APIS
0.0

A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.

◆ Current state

exametrika is an R psychometrics package covering IRT, latent class/rank analysis, and biclustering, and it has been shipping features at an unusual clip for a CRAN package. The last two releases stopped adding capability and turned inward: 1.14.0 fixed a documented-but-never-implemented graphical-parameter passthrough, and 1.15.0 landed a full-codebase audit that corrected bugs which silently produced wrong results on missing data and 0-indexed polytomous codes. Argument names, orders, and defaults are now unified across the model functions, with every old name kept working behind a deprecation warning.

◆ Where it's heading

The arc runs from feature sprawl to consolidation. Through 1.9.0-1.13.0 the package added polytomous biclustering plots, nominal and ordinal IRM samplers, a C++ Gibbs core, and Graphical Lasso; the cost was inconsistent interfaces and correctness bugs that only surfaced under audit. The maintainer is also visibly optimizing for two external gatekeepers — CRAN's 10-minute check budget in 1.13.1, an R Journal reviewer in 1.14.0 — which suggests the package is being groomed for formal publication rather than just iterated on.

◆ Prediction

Expect the next release to continue the deprecation cleanup started in 1.15.0, likely retiring some of the old function names that have carried warnings since 1.7.0, with new modelling work paused until the R Journal submission clears.

P
profoc
INFRA · APIS
0.0

A forecast combination package that spun its profiler out into its own project

◆ Current state

profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.

◆ Where it's heading

The direction is toward a reusable C++ core with thin language bindings. The timing code that lived inside profoc was extracted into the standalone rcpptimer package in 1.3.2, deliberately so other R packages and Python projects could use it through cpptimer and cppytimer, and the clock header was reworked in 1.3.1 to maximise the code shared between the R and Python versions. Method work sits earlier in the history - periodic splines and penalties in 1.2.0, the penalty() function in 1.1.0 - while the recent cadence, a single release in the last sixteen months, points at a package the maintainer considers finished.

◆ Prediction

The repeated references to future Python use suggest the next significant work happens outside this package, in the shared C++ components, rather than in profoc's R surface.

Alternatives to exametrika and profoc

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 profoc.

See all exametrika alternatives → · See all profoc alternatives →

Recent activity from exametrika and profoc

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoexametrikaFull-codebase audit fixes silent result corruption, unifies arguments
  2. 2mo agoexametrikaPlot methods finally forward the graphical parameters they documented
  3. 3mo agoexametrikaCRAN resubmission: slow tests skipped to fit the check budget
  4. 3mo agoexametrikaGraphical Lasso and Chatterjee's xi extend the package into network estimation
  5. 3mo agoexametrikaFrozen research baseline, never released to CRAN
  6. 5mo agoexametrikaNominal and ordinal IRM samplers, with generic dispatch by data type
  7. 6mo agoprofocCRAN compliance fix removing a namespace directive
  8. 1y agoprofocTimer integration updated to the stable rcpptimer API
  9. 2y agoprofocTiming code extracted into the standalone rcpptimer package
  10. 2y agoprofocInteger overflow fix and Welford timing statistics
  11. 2y agoprofocThe conline C++ class opens up to R users
  12. 2y agoprofocQuantile crossing flagged and tidy methods added

Frequently asked questions

What is the difference between exametrika and profoc?

Both compete on the same themes — r-package — within Infra & APIs. exametrika and profoc 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 exametrika better than profoc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. exametrika and profoc 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 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 profoc?

Top profoc alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "profoc alternatives" section above for the current picks, or visit /alternatives/profoc for the full list with editorial commentary on each.