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A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
Alternatives · analytics tools
glmbayes alternatives
The best glmbayes alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to glmbayes? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, glmbayes shipped 1 meaningful update in the last 30 days and carries a velocity score of 6.3 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About glmbayes
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
glmbayes fits Bayesian generalized linear models with optional OpenCL acceleration. The last four months moved it from a package with its own vocabulary to one that answers the insight and bayestestR generics the rest of the R Bayesian ecosystem is built on, while pushing the OpenCL kernels out into a separate nmathopencl dependency that carries CRAN Windows binaries. It returned to CRAN in August after an archival over a configure policy issue.
Velocity 6.3 · Last update 1h ago
Top 12 alternatives to glmbayes
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
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The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
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The R client for Our World in Data found its search had been reading a tenth of the catalog.
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Text analysis in R keeps optimising its token internals — and builds a path out to torch
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The ModernDive teaching package learns to render inside the browser that runs its own textbook
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The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
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A board game graphics package runs one of the most disciplined deprecation cycles in R.
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The explainable-ensemble-tree package now measures whether its own explanations are faithful.
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The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
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A scientific-text analysis package moved from counting citations to classifying argument structure.
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The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
glmbayes 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 |
|---|---|---|---|---|
| glmbayes (baseline) | 6.3 | 1 | bayesian-statisticsgeneralized-linear-modelsopencl | OpenCL split out to nmathopencl; insight and bayestestR integration |
| lstar | 5.0 | 0 | single-cell-genomicszarrwasm | lstar 0.2.0 |
| trendseries | 3.8 | 1 | time-serieseconometricsr-package | Decomposition becomes a first-class operation, five methods deep |
| qtl2 | 2.5 | 0 | qtl-mappingstatistical-geneticsbioinformatics | A genome scan that takes your own likelihood function |
| r-owidapi | 2.5 | 0 | open-dataour-world-in-datar-package | — |
| quanteda | 2.5 | 0 | text-analysisnatural-language-processingr-package | CRAN v4.0 |
| moderndive | 2.5 | 0 | statistics-educationwebrregression | — |
| PurpleAir | 0.0 | 0 | air-qualitysensor-datar-package | — |
| piecepackr | 0.0 | 0 | board-gamesgraphicsr-package | — |
| e2tree | 0.0 | 0 | explainable-aiensemble-methodsdecision-trees | A significance-tested measure of explanation fidelity |
| discretefdr | 0.0 | 0 | multiple-testingfalse-discovery-ratediscrete-statistics | — |
| contentanalysis | 0.0 | 0 | text-analysisbibliometricsscientific-writing | Sentence-level rhetorical move classification arrives |
| relialearnr | 0.0 | 0 | reliability-engineeringr-packageeducation | — |
The 12 best glmbayes alternatives, in depth
1. lstar · velocity 5.0
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.
Over the last 30 days lstar shipped 0 meaningful updates vs glmbayes's 1, most recently “lstar 0.2.0”. Its velocity score of 5.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, lstar focuses on single cell genomics, zarr and wasm.
lstar has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
2. trendseries · velocity 3.8
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Over the last 30 days trendseries shipped 1 meaningful update vs glmbayes's 1, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, trendseries focuses on time series, econometrics and r package.
trendseries and glmbayes have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full trendseries trajectory → · Compare glmbayes vs trendseries →
3. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Over the last 30 days qtl2 shipped 0 meaningful updates vs glmbayes's 1, most recently “A genome scan that takes your own likelihood function”. Its velocity score of 2.5/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
4. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Over the last 30 days r-owidapi shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 2.5/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, r-owidapi focuses on open data, our world in data and r package.
r-owidapi has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full r-owidapi trajectory → · Compare glmbayes vs r-owidapi →
5. quanteda · velocity 2.5
Text analysis in R keeps optimising its token internals — and builds a path out to torch.
Over the last 30 days quanteda shipped 0 meaningful updates vs glmbayes's 1, most recently “CRAN v4.0”. Its velocity score of 2.5/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, quanteda focuses on text analysis, natural language processing and r package.
quanteda has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
6. moderndive · velocity 2.5
The ModernDive teaching package learns to render inside the browser that runs its own textbook.
Over the last 30 days moderndive shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 2.5/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, moderndive focuses on statistics education, webr and regression.
moderndive has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full moderndive trajectory → · Compare glmbayes vs moderndive →
7. PurpleAir · velocity 0.0
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
Over the last 30 days PurpleAir shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, PurpleAir focuses on air quality, sensor data and r package.
PurpleAir has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full PurpleAir trajectory → · Compare glmbayes vs PurpleAir →
8. piecepackr · velocity 0.0
A board game graphics package runs one of the most disciplined deprecation cycles in R.
Over the last 30 days piecepackr shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, piecepackr focuses on board games, graphics and r package.
piecepackr has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full piecepackr trajectory → · Compare glmbayes vs piecepackr →
9. e2tree · velocity 0.0
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
Over the last 30 days e2tree shipped 0 meaningful updates vs glmbayes's 1, most recently “A significance-tested measure of explanation fidelity”. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, e2tree focuses on explainable ai, ensemble methods and decision trees.
e2tree has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
10. discretefdr · velocity 0.0
The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
Over the last 30 days discretefdr shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, discretefdr focuses on multiple testing, false discovery rate and discrete statistics.
discretefdr has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full discretefdr trajectory → · Compare glmbayes vs discretefdr →
11. contentanalysis · velocity 0.0
A scientific-text analysis package moved from counting citations to classifying argument structure.
Over the last 30 days contentanalysis shipped 0 meaningful updates vs glmbayes's 1, most recently “Sentence-level rhetorical move classification arrives”. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, contentanalysis focuses on text analysis, bibliometrics and scientific writing.
contentanalysis has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full contentanalysis trajectory → · Compare glmbayes vs contentanalysis →
12. relialearnr · velocity 0.0
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
Over the last 30 days relialearnr shipped 0 meaningful updates vs glmbayes's 1. Its velocity score of 0.0/10 blends that with longer-term release cadence.
Where glmbayes leans on bayesian statistics, generalized linear models and opencl, relialearnr focuses on reliability engineering, r package and education.
relialearnr has shipped fewer meaningful updates than glmbayes in the last 30 days, so weigh it on fit and feature depth rather than recent pace.
Full relialearnr trajectory → · Compare glmbayes vs relialearnr →
Frequently asked questions
What are the best alternatives to glmbayes?
The top glmbayes alternatives we currently track in analytics tools are lstar, trendseries, qtl2, r-owidapi, quanteda, ranked by recent ship velocity.
How is this list of glmbayes alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare glmbayes directly with one of these alternatives?
Yes — every card has a "Compare with glmbayes" link to a side-by-side /compare page.