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Comparison · Infra & APIs

mpactr vs PEIMAN2

A side-by-side editorial comparison of mpactr and PEIMAN2 — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-packages

mpactr vs PEIMAN2: at a glance

FeaturempactrPEIMAN2
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmetabolomics, mass-spectrometry, peak-filtering, data-importproteomics, post-translational-modification, enrichment-analysis, reproducibility
Last editorial update1h ago1h 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 PEIMAN2?

PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.

PEIMAN2 does enrichment analysis over post-translational modifications, testing whether a protein list is enriched for particular PTMs against UniProt-derived annotations, with translation functions bridging to mass spectrometry workflows. Its answers are only as current as its bundled database, and until June that database could only be refreshed by releasing a new package version. Version 1.1.0 changes that.

Read the full PEIMAN2 trajectory →

mpactr vs PEIMAN2: 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.

P
PEIMAN2
INFRA · APIS
0.0

PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.

◆ Current state

PEIMAN2 does enrichment analysis over post-translational modifications, testing whether a protein list is enriched for particular PTMs against UniProt-derived annotations, with translation functions bridging to mass spectrometry workflows. Its answers are only as current as its bundled database, and until June that database could only be refreshed by releasing a new package version. Version 1.1.0 changes that.

◆ Where it's heading

The package has been moving from a fixed snapshot toward versioned, user-selectable data. Earlier releases updated the bundled database in place — 1.0.0 shipped the March 2025 version and said little else — which meant the annotation vintage was whatever the package version implied. Now update_peiman_database() downloads and caches external database files and UniProt PTM lists, enrichment workflows take a database_version argument, and the mass-spec translators take a ptmlist_version, so an analysis can pin a dated database rather than a package release. The CRAN-safe default is preserved deliberately: loading, examples and checks still use the bundled internal data and need no network.

◆ Prediction

Version pinning is now expressible but the release notes do not describe how a chosen version is recorded in output, so surfacing the active database version in results is the natural companion. The database and the UniProt PTM list are versioned separately, which leaves room for a combined manifest.

Alternatives to mpactr and PEIMAN2

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 PEIMAN2.

See all mpactr alternatives → · See all PEIMAN2 alternatives →

Recent activity from mpactr and PEIMAN2

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

  1. 2mo agoPEIMAN2Database updates decouple from package releases
  2. 3mo agompactrPeak table names lowercased when absent from the injection column
  3. 3mo agompactrMetadata column names forced lowercase; get_metadata() renamed
  4. 10mo agompactrValgrind and sanitizer memory issues cleared
  5. 1y agoPEIMAN2Bundled database refreshed to the March 2025 UniProt vintage
  6. 1y agoPEIMAN2Documentation fix for the second example dataset
  7. 1y agompactrRcpp added to speed up filtering; data.table moved to Imports
  8. 1y agompactrmpactr 0.1.0
  9. 2y agoPEIMAN2Background lists for SEA and PSEA; tidyverse dependency dropped

Frequently asked questions

What is the difference between mpactr and PEIMAN2?

Both compete on the same themes — r-packages — within Infra & APIs. mpactr and PEIMAN2 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 PEIMAN2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mpactr and PEIMAN2 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 PEIMAN2?

Top PEIMAN2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PEIMAN2 alternatives" section above for the current picks, or visit /alternatives/peiman2 for the full list with editorial commentary on each.