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forestly vs graphicalMCP

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

Shared themes:r-language

forestly vs graphicalMCP: at a glance

FeatureforestlygraphicalMCP
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-safety, adverse-events, data-visualization, r-languageclinical-trials, multiple-comparisons, biostatistics, r-language
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is forestly?

forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.

forestly renders adverse-event forest plots as interactive reactable widgets — filterable by AE category, with sliders for incidence thresholds and a toggle for the risk-difference column. Version 0.1.3 added `rtf_static_forestly()` for static RTF output, and 0.1.4 has been about giving the display owner control over what reviewers see: the CSV download button, the AE filter label, and the diff toggle can each be switched off.

Read the full forestly trajectory →

What is graphicalMCP?

graphicalMCP is a narrow statistical tool being hardened rather than grown.

graphicalMCP implements graphical multiple comparison procedures — the method used to control family-wise error across several endpoints in a clinical trial. The package moved under the openpharma organisation in 0.2.6, picked up Hochberg tests and internal validation in 0.2.8, and its most recent release fixes a case where graph testing by closure disagreed with the rejection-based path. Releases are roughly annual and short.

Read the full graphicalMCP trajectory →

forestly vs graphicalMCP: editorial side-by-side

F
forestly
ANALYTICS
0.0

forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.

◆ Current state

forestly renders adverse-event forest plots as interactive reactable widgets — filterable by AE category, with sliders for incidence thresholds and a toggle for the risk-difference column. Version 0.1.3 added `rtf_static_forestly()` for static RTF output, and 0.1.4 has been about giving the display owner control over what reviewers see: the CSV download button, the AE filter label, and the diff toggle can each be switched off.

◆ Where it's heading

The arc runs from a fixed interactive widget toward a configurable one with two output modes. Nearly every new argument in the last two releases exists to remove something from the display or relabel it, which suggests the users driving development are producing outputs for others to review under conventions they do not control. The x-axis range, column header, figure header and slider range arguments point the same way — this is a tool being fitted into standardised reporting rather than used ad hoc.

◆ Prediction

Given that the last two releases have consisted almost entirely of display-control arguments, the next is likely more of the same, applied to whichever parts of the interactive layout are still fixed.

G
graphicalMCP
ANALYTICS
0.0

graphicalMCP is a narrow statistical tool being hardened rather than grown.

◆ Current state

graphicalMCP implements graphical multiple comparison procedures — the method used to control family-wise error across several endpoints in a clinical trial. The package moved under the openpharma organisation in 0.2.6, picked up Hochberg tests and internal validation in 0.2.8, and its most recent release fixes a case where graph testing by closure disagreed with the rejection-based path. Releases are roughly annual and short.

◆ Where it's heading

The changelog reads as a package settling into reference-implementation status: procedure coverage widened once, then the work turned to proving the two computational routes through the same graph agree with each other. That agreement is the whole promise of this kind of tool, since the closure-based calculation is the definition and the rejection-based one is the fast path everyone actually runs. The openpharma move points the same direction — shared maintenance rather than a single author's project.

◆ Prediction

The entries show no feature roadmap, only correctness and validation work, so the next release is most likely another consistency or precision fix rather than a new procedure.

Alternatives to forestly and graphicalMCP

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 forestly or graphicalMCP.

See all forestly alternatives → · See all graphicalMCP alternatives →

Recent activity from forestly and graphicalMCP

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

  1. 4mo agographicalMCPClosure-based and rejection-based graph tests now agree
  2. 5mo agoforestlyDownload button, AE filter label and diff toggle become optional
  3. 11mo agoforestlyStatic RTF forest plots join the interactive output
  4. 1y agographicalMCPHochberg tests and internal validation added
  5. 1y agoforestlyreactR 0.6.0 rendering fix and slider label control
  6. 1y agographicalMCPRepository moved to the openpharma organisation
  7. 2y agoforestlyTreatment group selection and rough-edge fixes
  8. 2y agographicalMCPCRAN resubmission housekeeping
  9. 2y agographicalMCPFirst release of the graphical MCP implementation
  10. 3y agoforestlyFirst release on GitHub and CRAN

Frequently asked questions

What is the difference between forestly and graphicalMCP?

Both compete on the same themes — r-language — within Analytics. forestly and graphicalMCP 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 forestly better than graphicalMCP?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. forestly and graphicalMCP 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 forestly?

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

What are the best alternatives to graphicalMCP?

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