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mev vs rtrek

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

Shared themes:r-package

mev vs rtrek: at a glance

Featuremevrtrek
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesextreme-value-theory, threshold-selection, statistical-estimation, api-redesignstar-trek, web-scraping, datasets, api-client
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is mev?

An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.

mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.

Read the full mev 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 →

mev vs rtrek: editorial side-by-side

M
mev
ANALYTICS
0.0

An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.

◆ Current state

mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.

◆ Where it's heading

The package is consolidating into a reference implementation of the extreme-value literature rather than a collection of one-off routines. Sixteen threshold-selection methods now share standardised arguments and their own plot and print methods with automatic selection, which is the tell: the goal is comparability across methods, not just availability. Dependency reduction runs alongside, with distribution functions written in-package to drop evd and Rsolnp replacing nloptr in earlier releases.

◆ Prediction

Version 2.1 continued adding threshold-selection routines within the new naming scheme, so the next release most likely follows the same pattern — more estimators fitted to the established prefixes, plus fixes to the 2.0 renaming. The entries give no sign of a further structural change.

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 mev 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 mev or rtrek.

See all mev alternatives → · See all rtrek alternatives →

Recent activity from mev and rtrek

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

  1. 9mo agomevTwo more threshold-selection routines slot into the new scheme
  2. 9mo agomevThreshold, stability and dependence functions regrouped under prefixes
  3. 1y agortrekMemory Alpha series portal retrieval fix
  4. 1y agortrekrtrek 0.5.1 release
  5. 2y agomevBoundary-case likelihood fixes, bundled with the prior release's notes
  6. 2y agortrekParser improvements for wiki retrieval
  7. 2y agortrekDead external content and data dependencies removed
  8. 3y agomevGEV and GP distribution functions brought in-house to drop evd
  9. 4y agomevFour max-stable families, fixed parameters and threshold diagnostics
  10. 5y agortrekFixes for source website HTML changes
  11. 5y agortrekMemory Alpha and Memory Beta web APIs added

Frequently asked questions

What is the difference between mev and rtrek?

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

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

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