rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
ggstatsplot vs MotherDuck
A side-by-side editorial comparison of ggstatsplot and MotherDuck — release velocity, themes, recent moves, and the top alternatives to consider.
ggstatsplot vs MotherDuck: at a glance
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.
What is MotherDuck?
MotherDuck keeps wrapping its agent-native stack in the plumbing enterprises need to adopt it.
The two capabilities MotherDuck has bet on — Flights for Python pipelines that MCP agents can drive, and Guides for the organizational context those agents read automatically — are now surrounded by the operational layer that makes them usable at scale: RBAC, org-wide admin visibility, regional availability in Sydney and Tokyo, runtime limits. The August 14 release adds the client surface that was still missing, a CLI covering auth, queries, Dives and Flights with scriptable output.
ggstatsplot vs MotherDuck: editorial side-by-side
ggstatsplot
0.0ANALYTICS
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.
MotherDuck
6.3ANALYTICS
MotherDuck keeps wrapping its agent-native stack in the plumbing enterprises need to adopt it.
◆ Current state
The two capabilities MotherDuck has bet on — Flights for Python pipelines that MCP agents can drive, and Guides for the organizational context those agents read automatically — are now surrounded by the operational layer that makes them usable at scale: RBAC, org-wide admin visibility, regional availability in Sydney and Tokyo, runtime limits. The August 14 release adds the client surface that was still missing, a CLI covering auth, queries, Dives and Flights with scriptable output.
◆ Where it's heading
The pattern is consistent: ship an agent-facing capability, then spend the following weeks making it governable and reachable. Iceberg interoperability keeps widening — Databricks-managed tables, Cloudflare R2 as a persisted catalog, server-side attach — which positions MotherDuck as a compute engine over catalogs it does not own. The CLI extends the same logic to automation: anything the UI can do should be drivable from a script or a CI job.
◆ Prediction
Expect the CLI to leave preview with Flights and Dives management as its centre of gravity, and Guides to follow the same governance path Flights took — org-level controls, roles, and visibility rules layered on after the capability lands.
Alternatives to ggstatsplot and MotherDuck
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 ggstatsplot or MotherDuck.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all ggstatsplot alternatives → · See all MotherDuck alternatives →
Recent activity from ggstatsplot and MotherDuck
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoMotherDuckMotherDuck CLI in preview; databases from remote DuckDB files
- 10d agoMotherDuckDuckDB 1.5.5, APAC Flights, and org-wide Flight visibility for Admins
- 17d agoMotherDuckGuides: org context agents read automatically through MCP ⚡
- 23d agoMotherDuckRBAC, Cloudflare R2 Iceberg catalog, and Flight runtime limits
- 1mo agoMotherDuckMotherDuck opens Sydney and Tokyo; Flights reach the Lite plan
- 1mo agoMotherDuckDatabricks Iceberg writes, Flights on every plan, Dive statuses
- 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
- 4mo agoggstatsplotInternal maintenance only
- 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
- 8mo agoggstatsplotContributor list updated in DESCRIPTION
- 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
- 11mo agoggstatsplotAdapted to the latest ggplot2 release
Frequently asked questions
What is the difference between ggstatsplot and MotherDuck?
They serve adjacent needs but don't currently overlap on shipped themes. MotherDuck 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 ggstatsplot better than MotherDuck?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. MotherDuck 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 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.
What are the best alternatives to MotherDuck?
Top MotherDuck alternatives in Analytics are ranked by recent ship velocity. Browse the "MotherDuck alternatives" section above for the current picks, or visit /alternatives/motherduck for the full list with editorial commentary on each.