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Comparison · Analytics

excluder vs textreuse

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

Shared themes:r-packagemaintenance

excluder vs textreuse: at a glance

Featureexcludertextreuse
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themessurvey-data, data-cleaning, r-package, qualtricstext-reuse, minhash, lsh, r-package
Last editorial update48m ago3h ago
WebsiteVisit →Visit →

What is excluder?

A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.

excluder marks, checks, and excludes online-survey rows that fail quality criteria — duplicate responses, suspicious IP or geolocation, screen resolution, completion duration, preview rows. The mark_*/check_*/exclude_* verb trio and the column-renaming helpers are the whole public surface. Recent releases are dependency chasing and test robustness rather than new exclusion criteria.

Read the full excluder trajectory →

What is textreuse?

A dormant text-matching package revived, shipped as 1.0.0, and kept current with the tidyverse.

textreuse detects reused and quoted passages across document collections using minhash and locality-sensitive hashing, with local alignment for inspecting the matches it finds. After years of inactivity, the package reached a 1.0.0 CRAN release in May 2026 that folded accumulated feature work into one version — encoding control on corpus construction, deterministic skipped-document bookkeeping, and an align_local() that returns an empty alignment instead of erroring on non-matching texts. The 1.0.2 release since then is pure compatibility maintenance.

Read the full textreuse trajectory →

excluder vs textreuse: editorial side-by-side

E
excluder
ANALYTICS
0.0

A Qualtrics data-cleaning package that has been in maintenance mode since its CRAN acceptance.

◆ Current state

excluder marks, checks, and excludes online-survey rows that fail quality criteria — duplicate responses, suspicious IP or geolocation, screen resolution, completion duration, preview rows. The mark_*/check_*/exclude_* verb trio and the column-renaming helpers are the whole public surface. Recent releases are dependency chasing and test robustness rather than new exclusion criteria.

◆ Where it's heading

The package is stable and its maintenance load comes from things it does not control: the {iptools} package leaving CRAN, {tidyselect} deprecating the .data pronoun, IP-geolocation tests breaking when the underlying address data shifts. Much of that work is about staying installable, not about better exclusions. Note that several of these entries were backfilled into the feed within the same two-minute window and are not in version order.

◆ Prediction

The next release will most likely be another dependency or CRAN-check response rather than a new exclusion criterion, following the pattern of the last three.

T
textreuse
ANALYTICS
2.5

A dormant text-matching package revived, shipped as 1.0.0, and kept current with the tidyverse.

◆ Current state

textreuse detects reused and quoted passages across document collections using minhash and locality-sensitive hashing, with local alignment for inspecting the matches it finds. After years of inactivity, the package reached a 1.0.0 CRAN release in May 2026 that folded accumulated feature work into one version — encoding control on corpus construction, deterministic skipped-document bookkeeping, and an align_local() that returns an empty alignment instead of erroring on non-matching texts. The 1.0.2 release since then is pure compatibility maintenance.

◆ Where it's heading

The arc here is restoration rather than expansion. The work has gone into making the package survivable — silencing deprecated dplyr and tidyr selection and many-to-many join warnings, moving from dead Travis and AppVeyor configs to GitHub Actions, and validating across five R platform and version combinations. Release notes now lead with verification evidence rather than features, which is the signature of a maintainer stabilizing an inherited codebase.

◆ Prediction

Expect continued compatibility releases tracking tidyverse deprecations; nothing in these entries indicates new hashing or alignment capability is planned.

Alternatives to excluder and textreuse

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 excluder or textreuse.

See all excluder alternatives → · See all textreuse alternatives →

Recent activity from excluder and textreuse

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

  1. 20d agotextreuseCompatibility pass for current dplyr and tidyr
  2. 3mo agotextreuseCRAN resubmission fixing a moved README URL
  3. 3mo agotextreuse1.0.0 consolidates years of accumulated feature work
  4. 1y agoexcluderInternet-dependent tests and examples made conditional
  5. 2y agoexcluderqualtrics_fetch2 dataset and tidyselect deprecation fixes
  6. 3y agoexcluderCRAN acceptance and graceful IP-lookup failure
  7. 3y agoexcluderdplyr 1.0.8 across()/is.na() compatibility fix
  8. 3y agoexcluderuse_labels(), rename_columns(), and orientation-agnostic resolution
  9. 3y agoexcluderSwaps iptools for ipaddress
  10. 10y agotextreuseMinhashes split out from hashes in document objects

Frequently asked questions

What is the difference between excluder and textreuse?

Both compete on the same themes — r-package, maintenance — within Analytics. textreuse is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is excluder better than textreuse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. textreuse is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to excluder?

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

What are the best alternatives to textreuse?

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