ANALYTICS
vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.
Alternatives · analytics tools
lineup2 alternatives
The best lineup2 alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to lineup2? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, lineup2 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 lineup2
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to lineup2
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
After two and a half years dormant, mizer shipped three major versions in seven weeks.
ANALYTICS
vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.
ANALYTICS
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
ANALYTICS
stringi has spent two years on build hardening since its Unicode 15.1 reset.
ANALYTICS
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
ANALYTICS
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
ANALYTICS
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
ANALYTICS
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ANALYTICS
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
ANALYTICS
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
ANALYTICS
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
lineup2 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 |
|---|---|---|---|---|
| lineup2 (baseline) | 0.0 | 0 | sample-mixupsdistance-metricsr-package | — |
| vellumplot | 6.3 | 1 | r-graphicsgrammar-of-graphicsaccessibility | First tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget |
| mizer | 5.0 | 0 | size-spectrum-modellingmarine-ecologynumerical-methods | Diffusion enters the McKendrick-von Foerster equation, ending a two-year gap |
| vellum | 5.0 | 0 | r-graphicsrendering-enginelinting | — |
| distributions3 | 2.5 | 0 | r-packageprobability-distributionsstatistical-modelling | — |
| stringi | 2.5 | 0 | unicodeicubuild-portability | ICU 74.1 bundle lands; Solaris support dropped |
| ageproR | 0.0 | 0 | fisheries-sciencestock-assessmentr-package | Four recruitment models added, including autocorrelated lognormal error |
| r-ledger | 0.0 | 0 | plain-text-accountingr-packagebeancount | — |
| gridpattern | 0.0 | 0 | r-graphicspattern-fillsgrid | — |
| distributional | 0.0 | 0 | r-packageprobability-distributionsdistribution-arithmetic | Distribution arithmetic: FFT convolution behind the + and - operators |
| ardlverse | 0.0 | 0 | econometricspanel-dataardl | — |
| weird | 0.0 | 0 | anomaly-detectionr-packagedistributional | — |
| n2kanalysis | 0.0 | 0 | biodiversity-monitoringinlabayesian-models | — |
The 12 best lineup2 alternatives, in depth
1. vellumplot · velocity 6.3
Vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.
Over the last 30 days vellumplot shipped 1 meaningful update vs lineup2's 0, most recently “First tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, vellumplot focuses on r graphics, grammar of graphics and accessibility.
Over the last 30 days vellumplot has been shipping faster than lineup2 — a point in its favour if release momentum matters to you.
Full vellumplot trajectory → · Compare lineup2 vs vellumplot →
2. mizer · velocity 5.0
After two and a half years dormant, mizer shipped three major versions in seven weeks.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “Diffusion enters the McKendrick-von Foerster equation, ending a two-year gap”.
Where lineup2 leans on sample mixups, distance metrics and r package, mizer focuses on size spectrum modelling, marine ecology and numerical methods.
mizer and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. vellum · velocity 5.0
Vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, vellum focuses on r graphics, rendering engine and linting.
vellum and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. distributions3 · velocity 2.5
Distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, distributions3 focuses on r package, probability distributions and statistical modelling.
distributions3 and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full distributions3 trajectory → · Compare lineup2 vs distributions3 →
5. stringi · velocity 2.5
Stringi has spent two years on build hardening since its Unicode 15.1 reset.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “ICU 74.1 bundle lands; Solaris support dropped”.
Where lineup2 leans on sample mixups, distance metrics and r package, stringi focuses on unicode, icu and build portability.
stringi and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. ageproR · velocity 0.0
AgeproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Four recruitment models added, including autocorrelated lognormal error”.
Where lineup2 leans on sample mixups, distance metrics and r package, ageproR focuses on fisheries science, stock assessment and r package.
ageproR and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. r-ledger · velocity 0.0
Ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, r-ledger focuses on plain text accounting, r package and beancount.
r-ledger and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. gridpattern · velocity 0.0
Gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, gridpattern focuses on r graphics, pattern fills and grid.
gridpattern and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full gridpattern trajectory → · Compare lineup2 vs gridpattern →
9. distributional · velocity 0.0
Distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Distribution arithmetic: FFT convolution behind the + and - operators”.
Where lineup2 leans on sample mixups, distance metrics and r package, distributional focuses on r package, probability distributions and distribution arithmetic.
distributional and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full distributional trajectory → · Compare lineup2 vs distributional →
10. ardlverse · velocity 0.0
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, ardlverse focuses on econometrics, panel data and ardl.
ardlverse and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ardlverse trajectory → · Compare lineup2 vs ardlverse →
11. weird · velocity 0.0
Weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, weird focuses on anomaly detection, r package and distributional.
weird and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. n2kanalysis · velocity 0.0
N2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where lineup2 leans on sample mixups, distance metrics and r package, n2kanalysis focuses on biodiversity monitoring, inla and bayesian models.
n2kanalysis and lineup2 have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full n2kanalysis trajectory → · Compare lineup2 vs n2kanalysis →
Frequently asked questions
What are the best alternatives to lineup2?
The top lineup2 alternatives we currently track in analytics tools are vellumplot, mizer, vellum, distributions3, stringi, ranked by recent ship velocity.
How is this list of lineup2 alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare lineup2 directly with one of these alternatives?
Yes — every card has a "Compare with lineup2" link to a side-by-side /compare page.