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Comparison · Infra & APIs

mpactr vs valr

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

Shared themes:r-packages

mpactr vs valr: at a glance

Featurempactrvalr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmetabolomics, mass-spectrometry, peak-filtering, data-importgenomics, interval-arithmetic, bioinformatics, bigwig
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 valr?

valr's interval verbs now read genomic files in place instead of demanding a loaded tibble.

valr reimplements bedtools-style genome interval arithmetic as tidyverse verbs backed by C++. Its long project has been closing the behavioural gap with bedtools — the book-ended interval semantics finally match in 0.10.0, three releases after the deprecation began. The July release also ends the assumption that intervals must be in memory: bed_map(), bed_intersect(), bed_subtract(), bed_coverage() and bed_window() accept a bigWig or bigBed path or URL where an interval table used to go.

Read the full valr trajectory →

mpactr vs valr: 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.

V
valr
INFRA · APIS
0.0

valr's interval verbs now read genomic files in place instead of demanding a loaded tibble.

◆ Current state

valr reimplements bedtools-style genome interval arithmetic as tidyverse verbs backed by C++. Its long project has been closing the behavioural gap with bedtools — the book-ended interval semantics finally match in 0.10.0, three releases after the deprecation began. The July release also ends the assumption that intervals must be in memory: bed_map(), bed_intersect(), bed_subtract(), bed_coverage() and bed_window() accept a bigWig or bigBed path or URL where an interval table used to go.

◆ Where it's heading

Two arcs converge here. One is compatibility: min_overlap arrived with a deprecation warning in 0.9.0 and its default flipped from 0 to 1 in 0.10.0, so book-ended intervals are excluded by default as bedtools does, with the internal calculations in bed_closest() and friends deliberately left counting them. The other is the file-backed path, which grew out of the cpp11bigwig dependency adopted in 0.8.3 for read_bigwig() and re-exported in 0.9.0 — reading a file became querying one. Underneath, the C++ base keeps getting lighter: Rcpp swapped for cpp11, rlang cut to a single function, per-group memory copies removed from three verbs.

◆ Prediction

Only five verbs take a file argument today and bed_closest(), bed_glyph() and the statistical verbs do not, so extending the file-backed path across the rest of the API is the obvious follow-up. The deprecated tibble re-exports and the now-defunct n_fields argument suggest continued removal of the compatibility layer in the next minor release.

Alternatives to mpactr and valr

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 valr.

See all mpactr alternatives → · See all valr alternatives →

Recent activity from mpactr and valr

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

  1. 1mo agovalrInterval verbs read bigWig and bigBed files directly
  2. 3mo agompactrPeak table names lowercased when absent from the injection column
  3. 3mo agompactrMetadata column names forced lowercase; get_metadata() renamed
  4. 7mo agovalrbed_slop() and bed_flank() preserve input row order
  5. 8mo agovalrmin_overlap introduced; C++ backend moves from Rcpp to cpp11
  6. 10mo agompactrValgrind and sanitizer memory issues cleared
  7. 1y agovalrTest updated for ggplot2 3.6.0
  8. 1y agompactrRcpp added to speed up filtering; data.table moved to Imports
  9. 1y agovalrread_bigwig() switches to cpp11bigwig; read_gtf() deprecated
  10. 1y agovalrCRAN Rd link NOTE and maintainer email change
  11. 1y agompactrmpactr 0.1.0

Frequently asked questions

What is the difference between mpactr and valr?

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

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

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