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reliagrowr vs rtrek

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

Shared themes:r-package

reliagrowr vs rtrek: at a glance

Featurereliagrowrrtrek
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesreliability-engineering, r-package, repairable-systems, mcpstar-trek, web-scraping, datasets, api-client
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is reliagrowr?

A reliability growth package put its models behind an MCP server for AI assistants to call.

ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.

Read the full reliagrowr 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 →

reliagrowr vs rtrek: editorial side-by-side

R
reliagrowr
ANALYTICS
0.0

A reliability growth package put its models behind an MCP server for AI assistants to call.

◆ Current state

ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.

◆ Where it's heading

Two arcs run in parallel. The statistical one is a steady march from plotting a growth curve to modelling recurrent failures properly — segmented NHPP models that detect their own change points, Nelson-Aalen estimation, Cramér-von Mises and Kolmogorov-Smirnov statistics for judging the fits. The interface one is newer and more unusual: the package now ships an MCP server, and its sibling plotting package followed with one two weeks later, so this is a deliberate direction across the maintainer's reliability suite rather than a single experiment. Naming and S3 conventions were cleaned up early, which is what made a uniform tool surface plausible later.

◆ Prediction

Given the sibling packages moved to MCP within weeks of each other, the remaining tools in the suite are the obvious next candidates; on the statistical side, goodness-of-fit having just arrived suggests model comparison and selection helpers are the natural follow-on.

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 reliagrowr 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 reliagrowr or rtrek.

See all reliagrowr alternatives → · See all rtrek alternatives →

Recent activity from reliagrowr and rtrek

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

  1. 2mo agoreliagrowrReliability growth models exposed as MCP tools
  2. 4mo agoreliagrowrRepairable systems analysis arrives: NHPP, MCF, exposure
  3. 4mo agoreliagrowrMaximum likelihood fitting and failure simulation
  4. 8mo agoreliagrowrReliaGrowR 0.3.2
  5. 9mo agoreliagrowrMore plotting and printing options for RGA and Duane models
  6. 10mo agoreliagrowrS3 methods replace the ad hoc plotting functions
  7. 1y agortrekMemory Alpha series portal retrieval fix
  8. 1y agortrekrtrek 0.5.1 release
  9. 2y agortrekParser improvements for wiki retrieval
  10. 2y agortrekDead external content and data dependencies removed
  11. 5y agortrekFixes for source website HTML changes
  12. 5y agortrekMemory Alpha and Memory Beta web APIs added

Frequently asked questions

What is the difference between reliagrowr and rtrek?

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

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

Top reliagrowr alternatives in Analytics are ranked by recent ship velocity. Browse the "reliagrowr alternatives" section above for the current picks, or visit /alternatives/reliagrowr 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.