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Comparison · Infra & APIs

mize vs sps

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

Shared themes:r-package

mize vs sps: at a glance

Featuremizesps
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesoptimization, r-package, numerical-methods, maintenancer-package, survey-sampling, sequential-poisson, performance
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is mize?

A numerical optimization toolkit that has been feature-complete and quiet since 2017

mize provides a configurable interface to unconstrained numerical optimization methods - line searches, gradient descent variants, quasi-Newton updates - usable both as a one-shot call and as a stepwise iterator. Its functional surface has not changed since the initial CRAN release in July 2017. Every release since has been a patch: R-devel compatibility, line search edge cases, and in 2026's 0.2.5 the removal of LazyData from DESCRIPTION plus deletion of some flaky tests.

Read the full mize trajectory →

What is sps?

sps keeps sanding down sequential Poisson sampling rather than adding to it.

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

Read the full sps trajectory →

mize vs sps: editorial side-by-side

M
mize
INFRA · APIS
0.0

A numerical optimization toolkit that has been feature-complete and quiet since 2017

◆ Current state

mize provides a configurable interface to unconstrained numerical optimization methods - line searches, gradient descent variants, quasi-Newton updates - usable both as a one-shot call and as a stepwise iterator. Its functional surface has not changed since the initial CRAN release in July 2017. Every release since has been a patch: R-devel compatibility, line search edge cases, and in 2026's 0.2.5 the removal of LazyData from DESCRIPTION plus deletion of some flaky tests.

◆ Where it's heading

The pattern is a stable library rather than an abandoned one. Fixes address real reports - a bracket_step error when the Schmidt line search exhausts its function evaluation budget, an incorrect gradient count under backtracking with a specified step_down - and the maintainer used one release note to clarify that backtracking behaviour differs depending on whether step_down is supplied, which reads as answering a recurring question. The five and a half year gap between 0.2.4 and 0.2.5 is the clearest signal: the package is maintained on demand, not developed.

◆ Prediction

Expect nothing until an R or CRAN policy change forces another compliance patch, which is what triggered the most recent release.

S
sps
INFRA · APIS
2.5

sps keeps sanding down sequential Poisson sampling rather than adding to it.

◆ Current state

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

◆ Where it's heading

Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.

◆ Prediction

Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.

Alternatives to mize and sps

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 mize or sps.

See all mize alternatives → · See all sps alternatives →

Recent activity from mize and sps

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

  1. 1mo agospsDocumentation polish; switches to tinytest and litedown
  2. 6mo agomizeCRAN compliance patch after five years of silence
  3. 9mo agospsFixes extra argument handling in sps_iterator()
  4. 11mo agospsAdds divisor_method() and a one-unit-at-a-time sampling iterator
  5. 1y agospsAdds an inclusion-probability vignette and faster partial sorting
  6. 1y agospsAutomatic tau selection for replicate weights
  7. 2y agospsAdds becomes_ta() for take-all stratum sample sizes
  8. 5y agomizeBacktracking line search reporting and documentation fix
  9. 6y agomizeR-devel compatibility fix for class checking
  10. 7y agomizeSchmidt line search error when the evaluation budget is exhausted
  11. 7y agomizeStage check fix for bold driver and backtracking
  12. 9y agomizeCRAN release 0.1.1

Frequently asked questions

What is the difference between mize and sps?

Both compete on the same themes — r-package — within Infra & APIs. sps is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 mize better than sps?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. sps is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 mize?

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

What are the best alternatives to sps?

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