Omni
Omni ships weekly, and almost every week the headline item is an AI feature.
Comparison · Analytics
ggsurvfit vs Rho
A side-by-side editorial comparison of ggsurvfit and Rho — release velocity, themes, recent moves, and the top alternatives to consider.
ggsurvfit vs Rho: at a glance
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.
What is Rho?
Rho's release machinery finally produced a stable build — and it shipped no new product.
Rho is an R IDE that has just moved from an all-prerelease train to a stable 0.4.0, and its public feed remains almost entirely release engineering. The one substantive entry, 0.4.0-dev.39, described capability-based model routing across providers and durable project-scoped agent conversations with per-file Apply/Undo. The releases since then have been distribution work: a signed automatic updater shared across Windows, macOS and Linux, then the stable build that packages it.
ggsurvfit vs Rho: editorial side-by-side
ggsurvfit
2.5ANALYTICS
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.
Rho
6.3ANALYTICS
Rho's release machinery finally produced a stable build — and it shipped no new product.
◆ Current state
Rho is an R IDE that has just moved from an all-prerelease train to a stable 0.4.0, and its public feed remains almost entirely release engineering. The one substantive entry, 0.4.0-dev.39, described capability-based model routing across providers and durable project-scoped agent conversations with per-file Apply/Undo. The releases since then have been distribution work: a signed automatic updater shared across Windows, macOS and Linux, then the stable build that packages it.
◆ Where it's heading
The project is building an agentic R IDE but publishing like a regulated release process: signed evidence, checksums bound to exact commits, and limitations named out loud rather than buried. That discipline has now paid off in the only way it could — 0.4.0 stable ships a Windows installer, a notarized macOS disk image and a Linux AppImage that can all update themselves, with failed verification preserving the running version. The feed's long-standing pattern of dev.NN builds with no final has broken; feature work and shipping work were on separate tracks, and the shipping track arrived first.
◆ Prediction
With distribution solved, the next entry that matters is the first one describing product capability again rather than packaging. The unresolved item these releases name themselves is Windows trust: the installer is still signed with a SignPath Free Trial self-signed certificate that SmartScreen may warn on.
Alternatives to ggsurvfit and Rho
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 Rho.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
OpenCTI
OpenCTI spends a release unblocking queues and hardening upserts
See all ggsurvfit alternatives → · See all Rho alternatives →
Recent activity from ggsurvfit and Rho
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoRhoRho reaches a stable 0.4.0 across Windows, macOS and Linux
- 2d agoRhoSigned automatic updates land across all three platforms
- 2d agoRhoRho 0.4.0-dev.41 Native Updater Acceptance Target
- 5d agoRhoAgent conversations and provider-routed models land in Rho ⚡
- 10d agoRhoCross-platform candidate build awaiting acceptance evidence
- 25d agoRhoWindows installer build stamp for 0.2.0-dev.12
- 25d agoggsurvfitGray-test p-values matched to the plotted outcome by name
- 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
- 2y agoggsurvfitNegative follow-up times and a cloglog transformation
- 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
- 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
- 3y agoggsurvfitGlue syntax in risk tables and coxph model support
Frequently asked questions
What is the difference between ggsurvfit and Rho?
They serve adjacent needs but don't currently overlap on shipped themes. Rho is currently shipping more aggressively (velocity 6.3 vs 2.5), 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 ggsurvfit better than Rho?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Rho is currently shipping more aggressively (velocity 6.3 vs 2.5), 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 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 Rho?
Top Rho alternatives in Analytics are ranked by recent ship velocity. Browse the "Rho alternatives" section above for the current picks, or visit /alternatives/yulab-smu-rho for the full list with editorial commentary on each.