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Comparison · Analytics

rtrek vs washdata

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

rtrek vs washdata: at a glance

Featurertrekwashdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstar-trek, web-scraping, datasets, api-clientopen data, wash surveys, data package, maintenance
Last editorial update48m ago2h ago
WebsiteVisit →Visit →

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 →

What is washdata?

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

Read the full washdata trajectory →

rtrek vs washdata: editorial side-by-side

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.

W
washdata
ANALYTICS
0.0

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

◆ Current state

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

◆ Where it's heading

Nothing is heading anywhere, and for a dataset package that is the point: the value is a citable, unchanging artifact, and the release history exists to keep it installable as R's toolchain moves. The maintenance cadence matches the maintainer's other nutrition packages, which received the same repository-refresh treatment in the same period. Note also that the tags are backfilled out of order — v0.1.0 carries a later stamp than v0.1.2.

◆ Prediction

Expect further releases only when CRAN checks or infrastructure require them; there is no indication the survey data itself will be extended.

Alternatives to rtrek and washdata

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 rtrek or washdata.

See all rtrek alternatives → · See all washdata alternatives →

Recent activity from rtrek and washdata

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

  1. 6mo agowashdataRepository and toolchain maintenance
  2. 1y agortrekMemory Alpha series portal retrieval fix
  3. 1y agortrekrtrek 0.5.1 release
  4. 2y agortrekParser improvements for wiki retrieval
  5. 2y agowashdataDocumentation and formatting updates
  6. 2y agortrekDead external content and data dependencies removed
  7. 5y agortrekFixes for source website HTML changes
  8. 5y agortrekMemory Alpha and Memory Beta web APIs added
  9. 5y agowashdataSecond release: documentation and formatting
  10. 8y agowashdataPre-release of the survey dataset
  11. 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey

Frequently asked questions

What is the difference between rtrek and washdata?

They serve adjacent needs but don't currently overlap on shipped themes. rtrek and washdata 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 rtrek better than washdata?

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

What are the best alternatives to washdata?

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