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AgencyAnalytics vs ggstatsplot

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

AgencyAnalytics vs ggstatsplot: at a glance

FeatureAgencyAnalyticsggstatsplot
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesagency-reporting, ai-assistant, scheduling, client-managementstatistical-plots, ggplot2, contingency-tables, hypothesis-testing
Last editorial update1d ago3d ago
WebsiteVisit →Visit →

What is AgencyAnalytics?

AgencyAnalytics is turning its assistant into scheduled agency staff work, not a chat box.

The release cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, letting those requests run on a cadence and post results into the client's conversation. Around them sit portfolio-management improvements — client tags, report share history, advanced metric filtering — and a consolidated Data tab feeding the assistant's context.

Read the full AgencyAnalytics trajectory →

What is ggstatsplot?

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

Read the full ggstatsplot trajectory →

AgencyAnalytics vs ggstatsplot: editorial side-by-side

A6.3

AgencyAnalytics is turning its assistant into scheduled agency staff work, not a chat box.

◆ Current state

The release cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, letting those requests run on a cadence and post results into the client's conversation. Around them sit portfolio-management improvements — client tags, report share history, advanced metric filtering — and a consolidated Data tab feeding the assistant's context.

◆ Where it's heading

Every recent release either gives AgencyAI more to read or more autonomy in when it runs. The Data tab consolidation, the AI Tracker add-on for AI search visibility, and now scheduling all point the same way: the platform is being positioned to produce the recurring client deliverables an agency would otherwise assign to a junior analyst.

◆ Prediction

Expect scheduled AgencyAI output to gain delivery paths beyond conversation history — into reports or client-facing sends — given the existing report scheduling and share infrastructure.

G
ggstatsplot
ANALYTICS
0.0

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

◆ Current state

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

◆ Where it's heading

The architecture explains the cadence. With statistics living in statsExpressions, ggstatsplot's own releases are mostly the tax of sitting on top of a fast-moving plotting and tidyverse stack — five of the six most recent entries change nothing a user would notice. When substantive work does arrive it clusters in the plotting layer's coverage of test families, as in 1.0.0's one-sample goodness-of-fit support and pairwise contingency analyses. The maintainer is also visibly deliberate about scope, having removed the normality-curve overlay in 0.12.4 for being unrelated to the analysis in question.

◆ Prediction

Expect continued parity work across the plot family — features that exist in one function being extended to its siblings, as goodness-of-fit support moved from ggpiestats to ggbarstats — punctuated by maintenance releases tracking ggplot2 and easystats.

Alternatives to AgencyAnalytics and ggstatsplot

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 AgencyAnalytics or ggstatsplot.

See all AgencyAnalytics alternatives → · See all ggstatsplot alternatives →

Recent activity from AgencyAnalytics and ggstatsplot

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

  1. 1d agoAgencyAnalyticsSchedule your AgencyAI prompts
  2. 6d agoAgencyAnalyticsAdvanced filtering for custom metrics and KPIs
  3. 6d agoAgencyAnalyticsOrganize your clients your way with tags
  4. 11d agoAgencyAnalyticsReport Shares View
  5. 11d agoAgencyAnalyticsSkills in AgencyAI
  6. 21d agoAgencyAnalyticsEverything about your client's data, now in one tab
  7. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  8. 4mo agoggstatsplotInternal maintenance only
  9. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  10. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  11. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  12. 11mo agoggstatsplotAdapted to the latest ggplot2 release

Frequently asked questions

What is the difference between AgencyAnalytics and ggstatsplot?

They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 AgencyAnalytics better than ggstatsplot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 AgencyAnalytics?

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

What are the best alternatives to ggstatsplot?

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