ANALYTICS
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
Alternatives · analytics tools
poissonreg alternatives
The best poissonreg alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to poissonreg? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, poissonreg 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 poissonreg
poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.
poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to poissonreg
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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Six years since the last functional change, and Google renamed the service it wraps in the release before that
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The meta-package ships almost nothing, which is exactly what a version-pinning shim should do
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The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since
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Seven years dormant, then two releases dragging every census boundary from 2020 to 2024
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Feature-complete since 2021, and every release since has been paying CRAN's C API bill
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A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers
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One document API over six databases, and every release is spent absorbing their JSON engines' churn
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Sparse vectors stopped being a storage trick and became something you can do arithmetic on
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A Darwin Core validator that went quiet for two years, then surfaced only to raise its R floor
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Four releases in three years, each one teaching the serializer about a model type it couldn't carry
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The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch
poissonreg 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 |
|---|---|---|---|---|
| poissonreg (baseline) | 0.0 | 0 | tidymodelscount-regressionglmnet | Model definitions move out of poissonreg into parsnip |
| chattr | 0.0 | 0 | llmrstudioide-integration | All model integration moves to ellmer, direct backends removed |
| cloudml | 0.0 | 0 | machine-learninggoogle-cloudtensorflow | — |
| tidymodels | 0.0 | 0 | tidymodelsmeta-packagedependency-management | — |
| datapack | 0.0 | 0 | research-datadataoneprovenance | Assembled data packages become editable in place |
| USAboundaries | 0.0 | 0 | geospatialcensus-datasf | Data split into a companion package; all boundaries become sf |
| slider | 0.0 | 0 | sliding-windowstidyversec-api-compliance | — |
| simtrial | 0.0 | 0 | clinical-trialsgroup-sequentialsurvival-analysis | RMST and milestone tests, plus a user-definable cut and test framework |
| nodbi | 0.0 | 0 | document-databasesjsonduckdb | Query results get consistent column types; fast NDJSON import reaches SQLite and Postgres |
| sparsevctrs | 0.0 | 0 | sparse-datatidymodelsaltrep | Scalar and element-wise arithmetic for sparse vectors |
| dwctaxon | 0.0 | 0 | darwin-coretaxonomydata-validation | — |
| bundle | 0.0 | 0 | serializationtidymodelsmodel-deployment | — |
| lime | 0.0 | 0 | explainabilitymachine-learningmaintenance-mode | — |
The 12 best poissonreg alternatives, in depth
1. chattr · velocity 0.0
Chattr deleted every LLM integration it had written and outsourced the lot to ellmer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “All model integration moves to ellmer, direct backends removed”.
Where poissonreg leans on tidymodels, count regression and glmnet, chattr focuses on llm, rstudio and ide integration.
chattr and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. cloudml · velocity 0.0
Six years since the last functional change, and Google renamed the service it wraps in the release before that.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, cloudml focuses on machine learning, google cloud and tensorflow.
cloudml and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. tidymodels · velocity 0.0
The meta-package ships almost nothing, which is exactly what a version-pinning shim should do.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, tidymodels focuses on tidymodels, meta package and dependency management.
tidymodels and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tidymodels trajectory → · Compare poissonreg vs tidymodels →
4. datapack · velocity 0.0
The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Assembled data packages become editable in place”.
Where poissonreg leans on tidymodels, count regression and glmnet, datapack focuses on research data, dataone and provenance.
datapack and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full datapack trajectory → · Compare poissonreg vs datapack →
5. USAboundaries · velocity 0.0
Seven years dormant, then two releases dragging every census boundary from 2020 to 2024.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Data split into a companion package; all boundaries become sf”.
Where poissonreg leans on tidymodels, count regression and glmnet, USAboundaries focuses on geospatial, census data and sf.
USAboundaries and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full USAboundaries trajectory → · Compare poissonreg vs USAboundaries →
6. slider · velocity 0.0
Feature-complete since 2021, and every release since has been paying CRAN's C API bill.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, slider focuses on sliding windows, tidyverse and c api compliance.
slider and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. simtrial · velocity 0.0
A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “RMST and milestone tests, plus a user-definable cut and test framework”.
Where poissonreg leans on tidymodels, count regression and glmnet, simtrial focuses on clinical trials, group sequential and survival analysis.
simtrial and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full simtrial trajectory → · Compare poissonreg vs simtrial →
8. nodbi · velocity 0.0
One document API over six databases, and every release is spent absorbing their JSON engines' churn.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Query results get consistent column types; fast NDJSON import reaches SQLite and Postgres”.
Where poissonreg leans on tidymodels, count regression and glmnet, nodbi focuses on document databases, json and duckdb.
nodbi and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. sparsevctrs · velocity 0.0
Sparse vectors stopped being a storage trick and became something you can do arithmetic on.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Scalar and element-wise arithmetic for sparse vectors”.
Where poissonreg leans on tidymodels, count regression and glmnet, sparsevctrs focuses on sparse data, tidymodels and altrep.
sparsevctrs and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full sparsevctrs trajectory → · Compare poissonreg vs sparsevctrs →
10. dwctaxon · velocity 0.0
A Darwin Core validator that went quiet for two years, then surfaced only to raise its R floor.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, dwctaxon focuses on darwin core, taxonomy and data validation.
dwctaxon and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full dwctaxon trajectory → · Compare poissonreg vs dwctaxon →
11. bundle · velocity 0.0
Four releases in three years, each one teaching the serializer about a model type it couldn't carry.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, bundle focuses on serialization, tidymodels and model deployment.
bundle and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. lime · velocity 0.0
The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where poissonreg leans on tidymodels, count regression and glmnet, lime focuses on explainability, machine learning and maintenance mode.
lime and poissonreg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to poissonreg?
The top poissonreg alternatives we currently track in analytics tools are chattr, cloudml, tidymodels, datapack, USAboundaries, ranked by recent ship velocity.
How is this list of poissonreg alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare poissonreg directly with one of these alternatives?
Yes — every card has a "Compare with poissonreg" link to a side-by-side /compare page.