r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
Comparison · Analytics
forestly vs naijR
A side-by-side editorial comparison of forestly and naijR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-language
forestly vs naijR: at a glance
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.
What is naijR?
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
forestly vs naijR: editorial side-by-side
forestly
0.0ANALYTICS
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.
naijR
0.0ANALYTICS
naijR is assembling the Nigerian reference data R analysts otherwise hand-code every time.
◆ Current state
naijR packages Nigeria-specific data and utilities for R: state and Local Government Area names, choropleth mapping, and phone-number repair. The newest release adds `ngdist`, a UNDP-sourced distance matrix covering road distances between all 37 state capitals, with `ng_distance()` for pairwise lookup in kilometres or miles. The spatial foundation was rebased on sf in 0.6.0, retiring the rgdal-era code.
◆ Where it's heading
The package keeps converting local knowledge into checked data structures. LGA names shared between states got `disambiguate_lga()` with interactive selection; misspellings in the original reference document were corrected; mobile numbers with inconsistent separators, or with the letter O typed for zero, get repaired rather than rejected. Each addition targets a specific way Nigerian administrative or contact data breaks generic tooling, which is a narrower and more durable brief than most country packages take on.
◆ Prediction
With a distance matrix now in place alongside the boundary and naming data, the plausible next step is more derived geography of the same kind rather than new utility functions, though the entries do not say which dataset is next.
Alternatives to forestly and naijR
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 naijR.
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 forestly alternatives → · See all naijR alternatives →
Recent activity from forestly and naijR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agonaijRRoad distances between all 37 state capitals
- 5mo agonaijRDevelopment snapshot of the distance-matrix work
- 5mo agoforestlyDownload button, AE filter label and diff toggle become optional
- 11mo agoforestlyStatic RTF forest plots join the interactive output ⚡
- 1y agoforestlyreactR 0.6.0 rendering fix and slider label control
- 2y agoforestlyTreatment group selection and rough-edge fixes
- 2y agonaijRMore examples and tighter internal data compression
- 3y agonaijRsf replaces rgdal; LGA name collisions get a resolver
- 3y agoforestlyFirst release on GitHub and CRAN
- 3y agonaijRWarning silenced ahead of the spatial stack migration
- 3y agonaijRPackage objects gain base R semantics; phone repair widened
Frequently asked questions
What is the difference between forestly and naijR?
Both compete on the same themes — r-language — within Analytics. forestly and naijR 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 naijR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. forestly and naijR 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 naijR?
Top naijR alternatives in Analytics are ranked by recent ship velocity. Browse the "naijR alternatives" section above for the current picks, or visit /alternatives/naijr for the full list with editorial commentary on each.