ANALYTICS
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
Alternatives · analytics tools
e2tree alternatives
The best e2tree alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to e2tree? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, e2tree 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 e2tree
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
e2tree builds a single interpretable tree that approximates a fitted ensemble, working from the proximity structure the ensemble induces between observations. The 1.0.0 release added the piece that had been missing: a Goodness of Interpretability index quantifying how well the approximating tree reconstructs the ensemble's own proximity matrix, with a permutation test for significance. Interactive visualisation and a C++ backend with OpenMP parallelism arrived alongside, and support now spans ranger and CatBoost as well as the original targets.
Velocity 0.0 · Last update 42m ago
Top 12 alternatives to e2tree
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 single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
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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 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.
e2tree 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 |
|---|---|---|---|---|
| e2tree (baseline) | 0.0 | 0 | explainable-aiensemble-methodsdecision-trees | A significance-tested measure of explanation fidelity |
| glmbayes | 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 | — |
| 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 e2tree alternatives, in depth
1. glmbayes · velocity 6.3
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain.
Over the last 30 days glmbayes shipped 1 meaningful update vs e2tree's 0, most recently “OpenCL split out to nmathopencl; insight and bayestestR integration”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, glmbayes focuses on bayesian statistics, generalized linear models and opencl.
Over the last 30 days glmbayes has been shipping faster than e2tree — a point in its favour if release momentum matters to you.
2. lstar · velocity 5.0
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “lstar 0.2.0”.
Where e2tree leans on explainable ai, ensemble methods and decision trees, lstar focuses on single cell genomics, zarr and wasm.
lstar and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. 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 e2tree's 0, 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 e2tree leans on explainable ai, ensemble methods and decision trees, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than e2tree — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare e2tree vs trendseries →
4. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.
Where e2tree leans on explainable ai, ensemble methods and decision trees, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. quanteda · velocity 2.5
Text analysis in R keeps optimising its token internals — and builds a path out to torch.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “CRAN v4.0”.
Where e2tree leans on explainable ai, ensemble methods and decision trees, quanteda focuses on text analysis, natural language processing and r package.
quanteda and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. moderndive · velocity 2.5
The ModernDive teaching package learns to render inside the browser that runs its own textbook.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, moderndive focuses on statistics education, webr and regression.
moderndive and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full moderndive trajectory → · Compare e2tree vs moderndive →
8. PurpleAir · velocity 0.0
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, PurpleAir focuses on air quality, sensor data and r package.
PurpleAir and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. piecepackr · velocity 0.0
A board game graphics package runs one of the most disciplined deprecation cycles in R.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, piecepackr focuses on board games, graphics and r package.
piecepackr and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full piecepackr trajectory → · Compare e2tree vs piecepackr →
10. discretefdr · velocity 0.0
The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, discretefdr focuses on multiple testing, false discovery rate and discrete statistics.
discretefdr and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full discretefdr trajectory → · Compare e2tree vs discretefdr →
11. contentanalysis · velocity 0.0
A scientific-text analysis package moved from counting citations to classifying argument structure.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sentence-level rhetorical move classification arrives”.
Where e2tree leans on explainable ai, ensemble methods and decision trees, contentanalysis focuses on text analysis, bibliometrics and scientific writing.
contentanalysis and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full contentanalysis trajectory → · Compare e2tree vs contentanalysis →
12. relialearnr · velocity 0.0
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where e2tree leans on explainable ai, ensemble methods and decision trees, relialearnr focuses on reliability engineering, r package and education.
relialearnr and e2tree have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full relialearnr trajectory → · Compare e2tree vs relialearnr →
Frequently asked questions
What are the best alternatives to e2tree?
The top e2tree alternatives we currently track in analytics tools are glmbayes, lstar, trendseries, qtl2, r-owidapi, ranked by recent ship velocity.
How is this list of e2tree alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare e2tree directly with one of these alternatives?
Yes — every card has a "Compare with e2tree" link to a side-by-side /compare page.