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Comparison · Infra & APIs

mpactr vs smam

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

mpactr vs smam: at a glance

Featurempactrsmam
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmetabolomics, mass-spectrometry, peak-filtering, data-importanimal-movement, stochastic-processes, state-space-models, rcpp
Last editorial update54m ago3h ago
WebsiteVisit →Visit →

What is mpactr?

mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.

mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.

Read the full mpactr trajectory →

What is smam?

Animal-movement models in R, where new stochastic processes arrive years apart.

smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.

Read the full smam trajectory →

mpactr vs smam: editorial side-by-side

M
mpactr
INFRA · APIS
0.0

mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.

◆ Current state

mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.

◆ Where it's heading

The package is stabilizing its input contract rather than growing its filtering methods. Metadata column names are now forced lowercase inside import_data() regardless of how the file was written, imported peak_tables names not present in the injection column are lowercased too, and get_meta_data() was renamed to get_metadata() in the same pass. Before that the work was infrastructural — Rcpp introduced to speed up filtering, data.table moved from Depends to Imports, and memory errors cleared so the package passes Valgrind and both sanitizers. Note the earliest entry compares against a v1.0.0 tag that precedes 0.1.0 in the repository, so version ordering in this feed is not reliable.

◆ Prediction

The case-normalization work has now touched both metadata columns and peak table names across two consecutive releases, which suggests the input-matching problem is not fully closed and a third pass is plausible. Nothing in these entries points to new filtering methods.

S
smam
INFRA · APIS
0.0

Animal-movement models in R, where new stochastic processes arrive years apart.

◆ Current state

smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.

◆ Where it's heading

This package grows by adding process models, and it does so rarely. Between the moving-moving process in 2021 and now, the only interface-level change has been the 0.7.0 generics that gave every fit function a common way to retrieve estimates and their covariance, which is consolidation of an accumulated collection rather than expansion of it. The three releases since are entirely reactive to toolchain and CRAN pressure, and they arrive in step with the maintainer's other package coga, which received the same Rcpp guard within twenty minutes on the same day.

◆ Prediction

Expect further releases to be CRAN and Rcpp maintenance unless a new movement process is published, which is what has historically prompted a minor version here. The generics added in 0.7.0 give any future process model a ready-made interface to slot into.

Alternatives to mpactr and smam

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 mpactr or smam.

See all mpactr alternatives → · See all smam alternatives →

Recent activity from mpactr and smam

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

  1. 3mo agompactrPeak table names lowercased when absent from the injection column
  2. 3mo agompactrMetadata column names forced lowercase; get_metadata() renamed
  3. 5mo agosmamRcpp attributes regenerated to guard Rf_error calls
  4. 10mo agompactrValgrind and sanitizer memory issues cleared
  5. 1y agompactrRcpp added to speed up filtering; data.table moved to Imports
  6. 1y agompactrmpactr 0.1.0
  7. 2y agosmamMaintainer email updated
  8. 2y agosmamCompiler format-security warning resolved
  9. 3y agosmamestimate and vcov generics unify all fit functions
  10. 5y agosmamMoving-moving process added with simulation and estimation
  11. 5y agosmamVariance estimators adjusted; example dataset added

Frequently asked questions

What is the difference between mpactr and smam?

They serve adjacent needs but don't currently overlap on shipped themes. mpactr and smam 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 mpactr better than smam?

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

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

What are the best alternatives to smam?

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