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Comparison · Analytics

fracture vs washdata

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

Shared themes:maintenancecran

fracture vs washdata: at a glance

Featurefracturewashdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnumeric formatting, fractions, utility package, maintenanceopen data, wash surveys, data package, maintenance
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is fracture?

fracture solved decimal-to-fraction conversion years ago and now only answers to CRAN.

A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.

Read the full fracture 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 →

fracture vs washdata: editorial side-by-side

F
fracture
ANALYTICS
0.0

fracture solved decimal-to-fraction conversion years ago and now only answers to CRAN.

◆ Current state

A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.

◆ Where it's heading

This is a completed utility. Its arc ran from correctness — floating-point rounding, exhaustive tests across millions of fractions — through API tightening, to edge-case tolerance, and then stopped. The 2026 release contains no user-visible change at all; it exists because CRAN's toolchain moved, which is the characteristic maintenance mode of a small package that does one thing correctly.

◆ Prediction

Nothing in these entries suggests new functionality; expect further releases only when R or CRAN policy forces one, as this one did.

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 fracture 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 fracture or washdata.

See all fracture alternatives → · See all washdata alternatives →

Recent activity from fracture and washdata

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

  1. 6mo agofractureObsolete C++11 requirement removed
  2. 6mo agowashdataRepository and toolchain maintenance
  3. 2y agowashdataDocumentation and formatting updates
  4. 4y agofractureNA and Inf inputs handled instead of erroring
  5. 4y agofractureExplicit denominator argument; arguments now named-only
  6. 5y agowashdataSecond release: documentation and formatting
  7. 5y agofractureUnicode fraction formatting and rounding fixes
  8. 8y agowashdataPre-release of the survey dataset
  9. 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey

Frequently asked questions

What is the difference between fracture and washdata?

Both compete on the same themes — maintenance, cran — within Analytics. fracture 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 fracture better than washdata?

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

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