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Comparison · Analytics
churon vs washdata
A side-by-side editorial comparison of churon and washdata — release velocity, themes, recent moves, and the top alternatives to consider.
churon vs washdata: at a glance
What is churon?
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
An R package wrapping ONNX Runtime through Rust. All three releases in the window land within four days and none of them adds a feature. 0.1.8 downgrades the ort crate to 2.0.0-rc.10 because rc.11 needs Rust Edition 2024 and CRAN's Windows machines run Rust 1.81. 0.1.10 removes the vendored Rust sources from git into a compressed tarball for offline builds, fixes the Windows extraction path, deletes dead Rust and R code, and bumps ONNX Runtime to 1.23.2.
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.
churon vs washdata: editorial side-by-side
churon
0.0ANALYTICS
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
◆ Current state
An R package wrapping ONNX Runtime through Rust. All three releases in the window land within four days and none of them adds a feature. 0.1.8 downgrades the ort crate to 2.0.0-rc.10 because rc.11 needs Rust Edition 2024 and CRAN's Windows machines run Rust 1.81. 0.1.10 removes the vendored Rust sources from git into a compressed tarball for offline builds, fixes the Windows extraction path, deletes dead Rust and R code, and bumps ONNX Runtime to 1.23.2.
◆ Where it's heading
Every visible decision is set by CRAN's build environment rather than by the package's own roadmap — pinned to an older ort release, vendored dependencies restructured for offline builds, and a dedicated CI job that simulates CRAN without network access. That is the standing cost of shipping a Rust-backed inference binding through R's distribution channel, and it is consuming the release stream entirely.
◆ Prediction
Expect the ort pin to move forward only when CRAN's Windows toolchain reaches a newer Rust, since that constraint is stated explicitly as the reason for the downgrade.
washdata
0.0ANALYTICS
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 churon 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 churon or washdata.
cfbfastr
College football's open data client hit v2 — and now reports how many API calls you have left.
rnpn
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
rempsyc
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
sdsfun
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all churon alternatives → · See all washdata alternatives →
Recent activity from churon and washdata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agowashdataRepository and toolchain maintenance
- 7mo agochuronVendored Rust sources bundled for offline CRAN builds
- 7mo agochuronort pinned back to rc.10 for CRAN Windows builds
- 7mo agochuronVersion bump and wasm fix reverted
- 2y agowashdataDocumentation and formatting updates
- 5y agowashdataSecond release: documentation and formatting
- 8y agowashdataPre-release of the survey dataset
- 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey
Frequently asked questions
What is the difference between churon and washdata?
They serve adjacent needs but don't currently overlap on shipped themes. churon 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 churon better than washdata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. churon 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 churon?
Top churon alternatives in Analytics are ranked by recent ship velocity. Browse the "churon alternatives" section above for the current picks, or visit /alternatives/churon 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.