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
cheapr alternatives
The best cheapr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to cheapr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, cheapr 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 cheapr
cheapr turned multi-threaded, and its next stop is a C++20 public API.
cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to cheapr
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.
cheapr 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 |
|---|---|---|---|---|
| cheapr (baseline) | 0.0 | 0 | performanceparallelismsimd | Parallelised math, thread control, and a C API rewrite |
| 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 cheapr 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 cheapr'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 cheapr leans on performance, parallelism and simd, vellumplot focuses on r graphics, grammar of graphics and accessibility.
Over the last 30 days vellumplot has been shipping faster than cheapr — a point in its favour if release momentum matters to you.
Full vellumplot trajectory → · Compare cheapr 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 cheapr leans on performance, parallelism and simd, mizer focuses on size spectrum modelling, marine ecology and numerical methods.
mizer and cheapr 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 cheapr leans on performance, parallelism and simd, vellum focuses on r graphics, rendering engine and linting.
vellum and cheapr 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 cheapr leans on performance, parallelism and simd, distributions3 focuses on r package, probability distributions and statistical modelling.
distributions3 and cheapr 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 cheapr 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 cheapr leans on performance, parallelism and simd, stringi focuses on unicode, icu and build portability.
stringi and cheapr 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 cheapr leans on performance, parallelism and simd, ageproR focuses on fisheries science, stock assessment and r package.
ageproR and cheapr 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 cheapr leans on performance, parallelism and simd, r-ledger focuses on plain text accounting, r package and beancount.
r-ledger and cheapr 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 cheapr leans on performance, parallelism and simd, gridpattern focuses on r graphics, pattern fills and grid.
gridpattern and cheapr 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 cheapr 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 cheapr leans on performance, parallelism and simd, distributional focuses on r package, probability distributions and distribution arithmetic.
distributional and cheapr 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 cheapr 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 cheapr leans on performance, parallelism and simd, ardlverse focuses on econometrics, panel data and ardl.
ardlverse and cheapr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 cheapr leans on performance, parallelism and simd, weird focuses on anomaly detection, r package and distributional.
weird and cheapr 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 cheapr leans on performance, parallelism and simd, n2kanalysis focuses on biodiversity monitoring, inla and bayesian models.
n2kanalysis and cheapr 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 cheapr vs n2kanalysis →
Frequently asked questions
What are the best alternatives to cheapr?
The top cheapr alternatives we currently track in analytics tools are vellumplot, mizer, vellum, distributions3, stringi, ranked by recent ship velocity.
How is this list of cheapr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare cheapr directly with one of these alternatives?
Yes — every card has a "Compare with cheapr" link to a side-by-side /compare page.