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reda vs rtrek

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

Shared themes:r-package

reda vs rtrek: at a glance

Featureredartrek
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, recurrent-events, maintenance-mode, cranstar-trek, web-scraping, datasets, api-client
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is reda?

A mature recurrent-event toolkit in careful maintenance, shedding weight rather than adding surface.

reda provides nonparametric mean cumulative function estimation, gamma-frailty rate regression, and event-data simulation for recurrent-event survival analysis. The core API settled at 0.5.0 when Recur() replaced Survr() and the MCF internals moved to C++. Everything since has been consolidation: small argument additions, method completions, and CRAN hygiene.

Read the full reda trajectory →

What is rtrek?

A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.

rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.

Read the full rtrek trajectory →

reda vs rtrek: editorial side-by-side

R
reda
ANALYTICS
0.0

A mature recurrent-event toolkit in careful maintenance, shedding weight rather than adding surface.

◆ Current state

reda provides nonparametric mean cumulative function estimation, gamma-frailty rate regression, and event-data simulation for recurrent-event survival analysis. The core API settled at 0.5.0 when Recur() replaced Survr() and the MCF internals moved to C++. Everything since has been consolidation: small argument additions, method completions, and CRAN hygiene.

◆ Where it's heading

The last three releases contain no new modelling capability at all — a dependency reshuffle, a test-example correction, and a print-order fix. The package is being kept installable and correct rather than extended. Its tightest coupling is to splines2, a sibling package from the same maintainer, which supplies the derivative machinery reda depends on.

◆ Prediction

Expect continued small-cadence CRAN-compliance releases tracking ggplot2 and splines2 changes. The entries show no in-progress feature work, so a substantive release would have to arrive without warning from this feed.

R
rtrek
ANALYTICS
0.0

A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.

◆ Current state

rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.

◆ Where it's heading

The package's centre of gravity shifted once, at 0.2.0, from shipping static data to querying Memory Alpha and Memory Beta at runtime. Everything since has been the maintenance bill for that decision: HTML update fixes, parser improvements, portal retrieval bugs. Note that version numbers on this feed do not track time — 0.2.5 is stamped a year before 0.1.0, and three tags were backfilled within four minutes in November 2020 — so neither rank nor version ordering here indicates release sequence.

◆ Prediction

Expect the next release to fix retrieval against another Memory Alpha layout change, which is what the last four have done. The entries give no indication of new datasets or functions in progress.

Alternatives to reda and rtrek

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 reda or rtrek.

See all reda alternatives → · See all rtrek alternatives →

Recent activity from reda and rtrek

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

  1. 11mo agoredaggplot2 and grDevices demoted to Suggests
  2. 1y agortrekMemory Alpha series portal retrieval fix
  3. 1y agoredaTest example and documentation typo fixes
  4. 1y agortrekrtrek 0.5.1 release
  5. 2y agortrekParser improvements for wiki retrieval
  6. 2y agortrekDead external content and data dependencies removed
  7. 4y agoredasimEvent() gains a user-supplied rate bound
  8. 5y agoredasummary() method completes the Recur object
  9. 5y agoredaDerivatives sourced from splines2's deriv method
  10. 5y agortrekFixes for source website HTML changes
  11. 5y agortrekMemory Alpha and Memory Beta web APIs added
  12. 6y agoredaMCF estimates can now skip variance computation

Frequently asked questions

What is the difference between reda and rtrek?

Both compete on the same themes — r-package — within Analytics. reda and rtrek 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 reda better than rtrek?

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

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

What are the best alternatives to rtrek?

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