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Comparison · Analytics

ggsurvfit vs Usermaven

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

ggsurvfit vs Usermaven: at a glance

FeatureggsurvfitUsermaven
SectorAnalyticsAnalytics
Velocity score2.58.8
Sparks · 30d03
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsproduct-analytics, reverse-etl, mcp, crm-integration
Last editorial update4d ago12h ago
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What is ggsurvfit?

ggsurvfit is in correctness-and-compatibility mode, not feature mode.

The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.

Read the full ggsurvfit trajectory →

What is Usermaven?

Usermaven closed the loop: data comes in from anywhere, and now it goes back out.

Three consecutive releases have each opened a different edge of the product. Event Sources brought conversion events in from payments, CRMs and spreadsheets without code; the MCP server let any AI client query the workspace; the newest adds a read-only Salesforce connection, Reverse ETL pushing Usermaven audiences into operational tools, external MCP connectors feeding Maven AI outside context, and configurable engagement scoring. Underneath, the analysis surfaces were consolidated earlier in the summer into Analytics Hub and a command bar.

Read the full Usermaven trajectory →

ggsurvfit vs Usermaven: editorial side-by-side

G
ggsurvfit
ANALYTICS
2.5

ggsurvfit is in correctness-and-compatibility mode, not feature mode.

◆ Current state

The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.

◆ Where it's heading

The feature surface settled around 1.0.0, when risk-table alignment was exported and colour and linetype defaults became configurable. Since then the work is keeping pace with survival, ggplot2 and tidycmprsk changes, and closing cases where the plotted curve and the annotation disagreed — the p-value matched by position rather than name, confidence limits swapped for multi-state models, quantiles read off a plateau.

◆ Prediction

Expect the next release to track upstream survival or ggplot2 changes rather than add plotting features; the CDISC censoring convention adopted in Surv_CNSR() suggests further alignment with clinical data standards is the likelier direction.

U
Usermaven
ANALYTICS
8.8

Usermaven closed the loop: data comes in from anywhere, and now it goes back out.

◆ Current state

Three consecutive releases have each opened a different edge of the product. Event Sources brought conversion events in from payments, CRMs and spreadsheets without code; the MCP server let any AI client query the workspace; the newest adds a read-only Salesforce connection, Reverse ETL pushing Usermaven audiences into operational tools, external MCP connectors feeding Maven AI outside context, and configurable engagement scoring. Underneath, the analysis surfaces were consolidated earlier in the summer into Analytics Hub and a command bar.

◆ Where it's heading

The shape is a product deliberately becoming a hub rather than a destination. Ingest, query and activation have each been generalized in turn, and the common design choice is to hand the boundary to a standard or a connector rather than build integrations one at a time. What is left proprietary is the middle — identity resolution, attribution, engagement scoring — which is where the release notes keep adding configurability. The Salesforce connection being read-only in its first cut fits the pattern: land the schema mapping, then open the write path.

◆ Prediction

Salesforce write-back is the obvious next step, since Reverse ETL already exists as the mechanism and the entry marks read-only as a first release. Expect more CRM connectors on the same template — read-only, per-org field mapping, sandbox first.

Alternatives to ggsurvfit and Usermaven

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 ggsurvfit or Usermaven.

See all ggsurvfit alternatives → · See all Usermaven alternatives →

Recent activity from ggsurvfit and Usermaven

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

  1. 2d agoUsermaven🔌 Salesforce, Reverse ETL, and connectors: your stack, connected
  2. 12d agoUsermaven🤖 Usermaven now speaks MCP: connect your workspace to any AI client
  3. 21d agoUsermaven🧩 Introducing Event Sources: The other half of your growth story
  4. 25d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  5. 1mo agoUsermavenCommand bar and unified Funnels, Trends, Journeys, Retention
  6. 2mo agoUsermaven🚀 Meet Analytics Hub: A new way to explore analytics in Usermaven
  7. 3mo agoUsermavenRevamped Trends with live previews and better CSV exports
  8. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  9. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  10. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  11. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  12. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between ggsurvfit and Usermaven?

They serve adjacent needs but don't currently overlap on shipped themes. Usermaven is currently shipping more aggressively (velocity 8.8 vs 2.5), 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 ggsurvfit better than Usermaven?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Usermaven is currently shipping more aggressively (velocity 8.8 vs 2.5), 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 ggsurvfit?

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

What are the best alternatives to Usermaven?

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