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Comparison · Analytics

ggstats vs quantmod

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

Shared themes:r-package

ggstats vs quantmod: at a glance

Featureggstatsquantmod
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelsquantitative-finance, market-data, r-package, api-maintenance
Last editorial update42m ago3h ago
WebsiteVisit →Visit →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

What is quantmod?

The R finance workhorse spends its releases absorbing what data vendors break

quantmod pulls market data into R and charts it, and has been in maintenance for years. The last six releases are dominated by upstream breakage: Yahoo Finance crumb authentication, a batch-size ceiling dropping from 199 to 99 symbols, GDPR consent failures, repeated URL changes at FRED and OANDA. Genuine additions are rare and small — a ClOp() return function, an intraday endpoint, better ambiguous-column detection.

Read the full quantmod trajectory →

ggstats vs quantmod: editorial side-by-side

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

Q
quantmod
ANALYTICS
0.0

The R finance workhorse spends its releases absorbing what data vendors break

◆ Current state

quantmod pulls market data into R and charts it, and has been in maintenance for years. The last six releases are dominated by upstream breakage: Yahoo Finance crumb authentication, a batch-size ceiling dropping from 199 to 99 symbols, GDPR consent failures, repeated URL changes at FRED and OANDA. Genuine additions are rare and small — a ClOp() return function, an intraday endpoint, better ambiguous-column detection.

◆ Where it's heading

The pattern is a package whose cadence is set by other people's API changes rather than its own roadmap. Releases arrive when a data source breaks, and the changelog reads as a list of reports from users who hit the failure first. The FRED API key requirement in the latest release is the same story again — a free source adding registration, and quantmod adding an argument and a nudge to comply. Deprecation work on as.zoo.data.frame has been running since at least 0.4.27 without completing.

◆ Prediction

Nothing in these entries points to a planned feature; the next release will most likely be triggered by whichever vendor endpoint changes first.

Alternatives to ggstats and quantmod

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 ggstats or quantmod.

See all ggstats alternatives → · See all quantmod alternatives →

Recent activity from ggstats and quantmod

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

  1. 1mo agoquantmodFRED API key support after the source requires registration
  2. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  3. 7mo agoggstatsLikert functions accept survey objects
  4. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  5. 1y agoquantmodFRED URL fix and documentation cleanup
  6. 1y agoggstatsggstats 0.10.0
  7. 1y agoquantmodYahoo batch limit halved, ambiguous column detection fixed
  8. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  9. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added
  10. 2y agoquantmodChart and option-chain fixes
  11. 2y agoquantmodYahoo intraday endpoint and GDPR-aware quote failures
  12. 3y agoquantmodOANDA URL fix

Frequently asked questions

What is the difference between ggstats and quantmod?

Both compete on the same themes — r-package — within Analytics. ggstats and quantmod 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 ggstats better than quantmod?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstats and quantmod 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 Analytics products to evaluate alongside.

What are the best alternatives to ggstats?

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

What are the best alternatives to quantmod?

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