r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
Comparison · Analytics
bundle vs graphicalMCP
A side-by-side editorial comparison of bundle and graphicalMCP — release velocity, themes, recent moves, and the top alternatives to consider.
bundle vs graphicalMCP: at a glance
What is bundle?
Four releases in three years, each one teaching the serializer about a model type it couldn't carry
bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.
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.
bundle vs graphicalMCP: editorial side-by-side
bundle
0.0ANALYTICS
Four releases in three years, each one teaching the serializer about a model type it couldn't carry
◆ Current state
bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.
◆ Where it's heading
Coverage is the product, so the release cadence is set by the ecosystem rather than by a roadmap. dbarts arrived in 0.1.2, along with extra work to preserve xgboost's nfeatures and feature_names through a round trip; 0.1.3 exists because xgboost changed its model format again. The 0.1.1 fix — recipes steps nested inside workflows — points at the same underlying issue one level up, where the object needing bundling is buried inside a tidymodels pipeline rather than passed directly.
◆ Prediction
Expect the next release to follow the same trigger: either a new parsnip engine that carries external pointers, or another upstream format change in one of the engines already covered. xgboost has now forced two of the four releases.
graphicalMCP
0.0ANALYTICS
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 bundle 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 bundle or graphicalMCP.
DoseFinding
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
See all bundle alternatives → · See all graphicalMCP alternatives →
Recent activity from bundle and graphicalMCP
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agographicalMCPClosure-based and rejection-based graph tests now agree
- 8mo agobundlexgboost bundling updated for newer model versions
- 1y agographicalMCPHochberg tests and internal validation added
- 1y agobundledbarts BART models become bundleable
- 1y agographicalMCPRepository moved to the openpharma organisation
- 2y agographicalMCPCRAN resubmission housekeeping
- 2y agographicalMCPFirst release of the graphical MCP implementation
- 2y agobundleRecipes steps inside workflows now bundle correctly
- 3y agobundleFirst CRAN release
Frequently asked questions
What is the difference between bundle and graphicalMCP?
They serve adjacent needs but don't currently overlap on shipped themes. bundle 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 bundle better than graphicalMCP?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bundle 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 bundle?
Top bundle alternatives in Analytics are ranked by recent ship velocity. Browse the "bundle alternatives" section above for the current picks, or visit /alternatives/bundle 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.