← Back to home
Comparison · Analytics

cleanepi vs datefixR

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

Shared themes:data-cleaning

cleanepi vs datefixR: at a glance

FeaturecleanepidatefixR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepiverse-trace, data-cleaning, line-list, reportingdate-parsing, rust, data-cleaning, localization
Last editorial update4h ago52m ago
WebsiteVisit →Visit →

What is cleanepi?

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

Read the full cleanepi trajectory →

What is datefixR?

The messy-date parser rewrote its core in Rust and came out 300x faster.

datefixR standardizes inconsistently formatted dates — the kind that arrive from spreadsheets and hand-entered clinical or survey data, with mixed separators, ambiguous orders, missing components, and month names in whatever language the source used. Version 2.0.0 rewrote the parsing core in Rust, reporting over 300x throughput against previous versions through fastpath handling of common formats and parallel column processing via a cores argument. Version 2.0.1 then spent itself cleaning up after that rewrite, restoring ordinal indicator support, stopping malformed dates from being silently cast to NA, and reinstating error messages that had gone missing.

Read the full datefixR trajectory →

cleanepi vs datefixR: editorial side-by-side

C
cleanepi
ANALYTICS
0.0

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

◆ Current state

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

◆ Where it's heading

Work has concentrated on the report object and on making the cleaning functions behave predictably at the edges — case- and whitespace-insensitive missing-value matching, report elements returned as vectors instead of comma-separated strings, an argument to print a single operation's report. The underlying cleaning API has barely moved since 1.0.0, which suggests it is settled.

◆ Prediction

The report interface has been reworked repeatedly across these releases and is the most likely place for further change; the cleaning functions themselves look stable.

D
datefixR
ANALYTICS
0.0

The messy-date parser rewrote its core in Rust and came out 300x faster.

◆ Current state

datefixR standardizes inconsistently formatted dates — the kind that arrive from spreadsheets and hand-entered clinical or survey data, with mixed separators, ambiguous orders, missing components, and month names in whatever language the source used. Version 2.0.0 rewrote the parsing core in Rust, reporting over 300x throughput against previous versions through fastpath handling of common formats and parallel column processing via a cores argument. Version 2.0.1 then spent itself cleaning up after that rewrite, restoring ordinal indicator support, stopping malformed dates from being silently cast to NA, and reinstating error messages that had gone missing.

◆ Where it's heading

Two long arcs meet here. The first is localization: Russian, Indonesian, German, Spanish month abbreviations, and experimental Roman numeral months accumulated release by release, with full translation of user-facing messages treated as a goal rather than a bonus. The second is the migration off R for the parsing hot path — internals began moving to C++ around 1.3.1 before the Rust rewrite replaced that work entirely. The 2.0.1 regressions show the cost of that move, since behavior that was implicit in the R implementation had to be re-specified.

◆ Prediction

The Rust core is one release into stabilization and 2.0.1 was entirely regression repair, so expect further correctness fixes against pre-2.0.0 behavior before any new format support lands.

Alternatives to cleanepi and datefixR

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 cleanepi or datefixR.

See all cleanepi alternatives → · See all datefixR alternatives →

Recent activity from cleanepi and datefixR

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

  1. 3mo agodatefixRRust rewrite regressions repaired, silent NA casting stopped
  2. 9mo agocleanepiCase-insensitive missing-value matching and report fixes
  3. 11mo agodatefixRParsing core rewritten in Rust for a 300x speedup
  4. 1y agocleanepiReport elements become vectors; date parsing default restored
  5. 1y agocleanepiDate guesser corrected; empty-row indices fixed
  6. 1y agodatefixRIndonesian month names and translations added
  7. 2y agocleanepiFirst major release with cleaning and reporting
  8. 2y agodatefixR'ene' and 'ener' recognized as January
  9. 3y agodatefixRRussian localization, Roman numeral months, Windows freeze fix
  10. 3y agodatefixRExcel leap-year offset and single-digit day fixes

Frequently asked questions

What is the difference between cleanepi and datefixR?

Both compete on the same themes — data-cleaning — within Analytics. cleanepi and datefixR 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 cleanepi better than datefixR?

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

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

What are the best alternatives to datefixR?

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