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Comparison · Analytics

ApexCharts vs modelbased

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

ApexCharts vs modelbased: at a glance

FeatureApexChartsmodelbased
SectorAnalyticsAnalytics
Velocity score10.00.0
Sparks · 30d30
Top themescharting, raw-data-input, chart-morphing, premium-tieringeasystats, marginal-effects, contrasts, mixed-models
Last editorial update1d ago6d ago
WebsiteVisit →Visit →

What is ApexCharts?

Licensing settled, ApexCharts is back to changing what a chart can take as input.

ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.

Read the full ApexCharts trajectory →

What is modelbased?

modelbased is turning marginal effects into a full contrast grammar

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

Read the full modelbased trajectory →

ApexCharts vs modelbased: editorial side-by-side

A
ApexCharts
ANALYTICS
10.0

Licensing settled, ApexCharts is back to changing what a chart can take as input.

◆ Current state

ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.

◆ Where it's heading

The through-line now is input and arrangement rather than catalogue size. Charts increasingly accept the measurements a team actually has instead of pre-aggregated values, and the seams that let you hand a chart its own layout — plotOptions.unit.positions, the pluggable layout hook — are being filled in with kits rather than hard-coded options. The premium boundary has stopped moving; the free catalogue keeps growing around it.

◆ Prediction

Expect the raw-observation pattern to reach another chart type now that the bar pathway handles binning, and expect the remaining pluggable seams to get companion kits the way positions just did.

M
modelbased
ANALYTICS
0.0

modelbased is turning marginal effects into a full contrast grammar

◆ Current state

modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.

◆ Where it's heading

The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.

◆ Prediction

With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.

Alternatives to ApexCharts and modelbased

Other Analytics 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 ApexCharts or modelbased.

See all ApexCharts alternatives → · See all modelbased alternatives →

Recent activity from ApexCharts and modelbased

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

  1. 2d agoApexChartsUnit charts get a 39-shape companion kit
  2. 3d agoApexChartsHistogram bins raw samples; charts morph between types
  3. 10d agoApexChartsPer-data-point label offsets land as functions
  4. 10d agoApexChartsPie and donut slice clicks work again after a 6.7.0 regression
  5. 17d agoApexChartsSunburst charts arrive; premium features now need an entitled plan
  6. 23d agoApexChartsUnit chart is the first premium-gated chart type
  7. 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
  8. 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
  9. 6mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
  10. 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
  11. 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
  12. 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures

Frequently asked questions

What is the difference between ApexCharts and modelbased?

They serve adjacent needs but don't currently overlap on shipped themes. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 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 ApexCharts better than modelbased?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), with 3 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to ApexCharts?

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

What are the best alternatives to modelbased?

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