INFRA · APIS
glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
Alternatives · developer tools
mpactr alternatives
The best mpactr alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to mpactr? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, mpactr shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 51m ago
Top 12 alternatives to mpactr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
INFRA · APIS
prova adds expected-utility calculation on top of its Bayesian inference core.
INFRA · APIS
The MSNI humanitarian needs framework as code, rewritten and re-broken every year
INFRA · APIS
artoo makes any-to-any clinical dataset conversion lossless by construction.
INFRA · APIS
tabular went from clinical tables to complete TFL output in under two months.
INFRA · APIS
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
INFRA · APIS
checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
INFRA · APIS
Four years dormant, rstudio.prefs returns under a new maintainer.
INFRA · APIS
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
INFRA · APIS
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
INFRA · APIS
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
INFRA · APIS
surveycore declared its API stable with every survey design type covered.
mpactr vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| mpactr (baseline) | 0.0 | 0 | metabolomicsmass-spectrometrypeak-filtering | — |
| glcdp | 6.3 | 1 | r-packageslight-loggingdata-standards | glc_explore() adds a Shiny browser and metadata joins |
| prova | 6.3 | 1 | r-packagesbayesian-inferencedecision-analysis | exputility() brings decision analysis into prova |
| humind | 3.8 | 1 | humanitarian-analyticsneeds-assessmentr-package | 2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped |
| artoo | 2.5 | 0 | r-packagesclinical-trialscdisc | Lossless any-to-any CDISC dataset conversion in pure R |
| tabular | 2.5 | 0 | r-packagesclinical-trialsdocument-rendering | figure() completes the T, F and L of TFL output |
| usmapdata | 2.5 | 0 | r-packagesgeospatialcensus-data | data_year turns the package into a multi-vintage archive |
| checkhelper | 2.5 | 0 | r-packagescran-compliancestatic-analysis | A static audit_* family for CRAN pre-submission checks |
| rstudio.prefs | 2.5 | 0 | r-packagesrstudiodeveloper-tools | — |
| inlabru | 2.5 | 0 | bayesian-modellingspatial-statisticsr-package | Drops sp and ggmap for an sf-native spatial stack |
| ggpointless | 0.0 | 0 | ggplot2-extensionsdata-visualizationpictogram-charts | — |
| surveytidy | 0.0 | 0 | survey-statisticstidyversedplyr-verbs | — |
| surveycore | 0.0 | 0 | survey-statisticsvariance-estimationreplicate-weights | First stable release: all four survey design types complete |
The 12 best mpactr alternatives, in depth
1. glcdp · velocity 6.3
Glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.
Over the last 30 days glcdp shipped 1 meaningful update vs mpactr's 0, most recently “glc_explore() adds a Shiny browser and metadata joins”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, glcdp focuses on r packages, light logging and data standards.
Over the last 30 days glcdp has been shipping faster than mpactr — a point in its favour if release momentum matters to you.
2. prova · velocity 6.3
Prova adds expected-utility calculation on top of its Bayesian inference core.
Over the last 30 days prova shipped 1 meaningful update vs mpactr's 0, most recently “exputility() brings decision analysis into prova”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, prova focuses on r packages, bayesian inference and decision analysis.
Over the last 30 days prova has been shipping faster than mpactr — a point in its favour if release momentum matters to you.
3. humind · velocity 3.8
The MSNI humanitarian needs framework as code, rewritten and re-broken every year.
Over the last 30 days humind shipped 1 meaningful update vs mpactr's 0, most recently “2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, humind focuses on humanitarian analytics, needs assessment and r package.
Over the last 30 days humind has been shipping faster than mpactr — a point in its favour if release momentum matters to you.
4. artoo · velocity 2.5
Artoo makes any-to-any clinical dataset conversion lossless by construction.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Lossless any-to-any CDISC dataset conversion in pure R”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, artoo focuses on r packages, clinical trials and cdisc.
artoo and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. tabular · velocity 2.5
Tabular went from clinical tables to complete TFL output in under two months.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “figure() completes the T, F and L of TFL output”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, tabular focuses on r packages, clinical trials and document rendering.
tabular and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. usmapdata · velocity 2.5
Usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “data_year turns the package into a multi-vintage archive”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, usmapdata focuses on r packages, geospatial and census data.
usmapdata and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. checkhelper · velocity 2.5
Checkhelper grew from a check wrapper into a CRAN pre-submission auditor.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A static audit_* family for CRAN pre-submission checks”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, checkhelper focuses on r packages, cran compliance and static analysis.
checkhelper and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full checkhelper trajectory → · Compare mpactr vs checkhelper →
8. rstudio.prefs · velocity 2.5
Four years dormant, rstudio.prefs returns under a new maintainer.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, rstudio.prefs focuses on r packages, rstudio and developer tools.
rstudio.prefs and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rstudio.prefs trajectory → · Compare mpactr vs rstudio.prefs →
9. inlabru · velocity 2.5
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Drops sp and ggmap for an sf-native spatial stack”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, inlabru focuses on bayesian modelling, spatial statistics and r package.
inlabru and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. ggpointless · velocity 0.0
Ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, ggpointless focuses on ggplot2 extensions, data visualization and pictogram charts.
ggpointless and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggpointless trajectory → · Compare mpactr vs ggpointless →
11. surveytidy · velocity 0.0
Surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, surveytidy focuses on survey statistics, tidyverse and dplyr verbs.
surveytidy and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full surveytidy trajectory → · Compare mpactr vs surveytidy →
12. surveycore · velocity 0.0
Surveycore declared its API stable with every survey design type covered.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “First stable release: all four survey design types complete”.
Where mpactr leans on metabolomics, mass spectrometry and peak filtering, surveycore focuses on survey statistics, variance estimation and replicate weights.
surveycore and mpactr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full surveycore trajectory → · Compare mpactr vs surveycore →
Frequently asked questions
What are the best alternatives to mpactr?
The top mpactr alternatives we currently track in developer tools are glcdp, prova, humind, artoo, tabular, ranked by recent ship velocity.
How is this list of mpactr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare mpactr directly with one of these alternatives?
Yes — every card has a "Compare with mpactr" link to a side-by-side /compare page.