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Comparison · Infra & APIs

bolasso vs inti

A side-by-side editorial comparison of bolasso and inti — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

bolasso vs inti: at a glance

Featurebolassointi
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesvariable-selection, lasso, r-package, bootstrapplant-science, pca, shiny, reproducible-reporting
Last editorial update23h ago59m ago
WebsiteVisit →Visit →

What is bolasso?

Bootstrap lasso got a fast mode, a second selection rule, and multinomial support

bolasso implements the bootstrapped lasso, refitting a regularized regression across bootstrap replicates and selecting variables by how consistently they survive. The 0.3.0 release reshaped it: a fast argument computes one cross-validated lambda on the full dataset instead of cross-validating inside every replicate, and selected_variables() gained a choice between the variable inclusion probability rule and a quantile rule based on bootstrap confidence intervals. Since then 0.4.0 exposed the bootstrap indices through bootstrap_samples(), and 0.5.0 extended the whole surface to multinomial responses, returning one list element per outcome level.

Read the full bolasso trajectory →

What is inti?

inti keeps compounding small statistics and publishing tools for plant-science labs.

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

Read the full inti trajectory →

bolasso vs inti: editorial side-by-side

B
bolasso
INFRA · APIS
0.0

Bootstrap lasso got a fast mode, a second selection rule, and multinomial support

◆ Current state

bolasso implements the bootstrapped lasso, refitting a regularized regression across bootstrap replicates and selecting variables by how consistently they survive. The 0.3.0 release reshaped it: a fast argument computes one cross-validated lambda on the full dataset instead of cross-validating inside every replicate, and selected_variables() gained a choice between the variable inclusion probability rule and a quantile rule based on bootstrap confidence intervals. Since then 0.4.0 exposed the bootstrap indices through bootstrap_samples(), and 0.5.0 extended the whole surface to multinomial responses, returning one list element per outcome level.

◆ Where it's heading

The package spent 2022 dormant after its initial releases and has been actively developed since late 2024, moving from a single algorithm toward a workbench. The additions cluster around inspection rather than estimation: tidy() for bootstrap-level coefficients, plot_selection_thresholds() for selection stability across thresholds, plot_selected_variables() for the surviving covariates, and now the extracted bootstrap indices. Documented gaps remain, with mgaussian unsupported and multinomial prediction limited to class output.

◆ Prediction

The two stated limitations in 0.5.0 - no mgaussian family and class-only multinomial prediction - are the most likely next targets, since the maintainer flagged both as possible later additions.

I
inti
INFRA · APIS
2.5

inti keeps compounding small statistics and publishing tools for plant-science labs.

◆ Current state

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

◆ Where it's heading

Two axes are moving. Analysis is deepening inside Yupana, where PCA went from a single view to a sub-module with its own contribution and correlation outputs across three tags. Publishing is widening around rticle() and scihub(), which now handle Google Docs markdown, crossrefs and page numbers, continuing the gdocs2qmd work from the 0.6 line. Neither is a change of direction; the package accretes features where the maintainer's own research workflow needs them.

◆ Prediction

Expect the next tag to extend the PCA sub-module again and add another rticle() or scihub() rendering detail, on the two-to-six-week cadence the 0.7 line has held.

Alternatives to bolasso and inti

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either bolasso or inti.

See all bolasso alternatives → · See all inti alternatives →

Recent activity from bolasso and inti

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 22d agointiscihub() gains pages, rticle() improves crossrefs
  2. 1mo agointi0.7.1 restates the 0.7.0 PCA and Tarpuy notes
  3. 2mo agointiPCA sub-module adds contribution and dimension correlation
  4. 2mo agointiNew rticle() renders Google Docs markdown into articles
  5. 4mo agobolassoMultinomial responses supported across selection and plotting
  6. 10mo agointiH2cal() takes factors as a formula; scihub() templates updated
  7. 10mo agobolassoBootstrap indices exposed via bootstrap_samples()
  8. 11mo agointiSciHub RStudio addin arrives; gdocs2qmd table export fixed
  9. 1y agobolassoFast estimation mode and a second variable selection rule
  10. 4y agobolassoBolasso v0.2.0
  11. 4y agobolassoBolasso v0.1.0

Frequently asked questions

What is the difference between bolasso and inti?

Both compete on the same themes — r-package — within Infra & APIs. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is bolasso better than inti?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inti is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to bolasso?

Top bolasso alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bolasso alternatives" section above for the current picks, or visit /alternatives/bolasso for the full list with editorial commentary on each.

What are the best alternatives to inti?

Top inti alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "inti alternatives" section above for the current picks, or visit /alternatives/inti for the full list with editorial commentary on each.