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Comparison · Infra & APIs

jstable vs L1centrality

A side-by-side editorial comparison of jstable and L1centrality — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

jstable vs L1centrality: at a glance

FeaturejstableL1centrality
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbiostatistics, r-package, clinical-research, survey-weightedgraph-analysis, centrality, r-package, visualization
Last editorial update1d ago56m ago
WebsiteVisit →Visit →

What is jstable?

A clinical table generator paying down years of edge cases in survey-weighted models

jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.

Read the full jstable trajectory →

What is L1centrality?

A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.

L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.

Read the full L1centrality trajectory →

jstable vs L1centrality: editorial side-by-side

J
jstable
INFRA · APIS
0.0

A clinical table generator paying down years of edge cases in survey-weighted models

◆ Current state

jstable turns regression and survival models into the formatted tables medical papers publish, wrapping coxph, glm, geeglm, lmer and their survey-weighted counterparts. The recent line is almost entirely correction work, concentrated in two places: the .display family and the TableSubgroup family. Version 1.3.25 alone fixed quasibinomial support for survey-weighted logistic regression, automatic factor-to-numeric outcome conversion for svyglm, weighted-versus-original sample counts in the n row, data.table input handling, and Overall column labelling.

◆ Where it's heading

Each CRAN release bundles several GitHub patch versions, so the notes read as rolled-up fix lists rather than feature announcements. The substantive thread is pcut.univariate, introduced across seven display functions in 1.3.11 to allow multivariable analysis restricted to significant variables, and repaired repeatedly since as it collided with interaction terms, single-variable selections, clustered models and data.table inputs. The survey-weighted path is the other recurring source: counts, labels and family handling that worked for unweighted data kept failing once weights were involved.

◆ Prediction

Expect further patches in the survey-weighted subgroup functions, since 1.3.25 fixed four separate issues there and each recent release has surfaced more in the same area.

L
L1centrality
INFRA · APIS
0.0

A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.

◆ Current state

L1centrality implements L1 centrality and prestige for graphs, including group, local, and neighbourhood variants plus MDS-based visualization. The measure set has been stable since 0.3.0; the work since has gone into interfaces around it — S3 classes with print and summary methods, plot methods for every result class, and in 0.5.0 both multi-group evaluation and multicore computation for the local variant. The two releases since have been a warning-message pass and a typo pass.

◆ Where it's heading

The package has moved from defining measures to operationalizing them. 0.5.0 was the inflection: parallel local computation and list-valued group input both target users running these measures over many vertex sets or large graphs rather than illustrating them on one. The same release renamed weight_transform and eta to edge_weight_transform and vertex_weight, and added an explicit message when a distance matrix is received — the signature of a maintainer fielding the same misuse repeatedly.

◆ Prediction

The last two releases carry no functional change, so the near-term path is maintenance rather than new measures; a 0.6.0 would most likely extend parallelism beyond L1centLOC to the other computationally heavy variants.

Alternatives to jstable and L1centrality

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 jstable or L1centrality.

See all jstable alternatives → · See all L1centrality alternatives →

Recent activity from jstable and L1centrality

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

  1. 1mo agoL1centralityTypo fixes only
  2. 3mo agoL1centralityWarning message wording updated
  3. 3mo agoL1centralityMulti-group prominence and multicore local centrality
  4. 4mo agojstableSurvey-weighted logistic regression and sample counts corrected
  5. 6mo agojstableCompeting-risk counts drawn from original rather than transformed data
  6. 9mo agoL1centralityPlot methods for every result class, plus edge-weight transforms
  7. 9mo agojstableMulti-state Cox models detected without a manual flag
  8. 10mo agojstableWide fix pass across the display functions
  9. 1y agojstableCrude p-values computed from raw data via data_for_univariate
  10. 1y agojstableSignificance-filtered multivariable analysis added across seven functions
  11. 1y agoL1centralityHandles unnamed vertices; quantile type pinned
  12. 1y agoL1centralityS3 classes for all results, plus a Gini coefficient

Frequently asked questions

What is the difference between jstable and L1centrality?

Both compete on the same themes — r-package — within Infra & APIs. jstable and L1centrality are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is jstable better than L1centrality?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. jstable and L1centrality are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to jstable?

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

What are the best alternatives to L1centrality?

Top L1centrality alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "L1centrality alternatives" section above for the current picks, or visit /alternatives/l1centrality for the full list with editorial commentary on each.