TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of churon and GeneNMF — release velocity, themes, recent moves, and the top alternatives to consider.
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.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
GeneNMF applies non-negative matrix factorization to single-cell expression data to find gene programs, then consolidates programs recurring across samples into meta-programs. Version 0.6.0 replaced the consolidation method: instead of reducing each program to a gene set and taking a consensus, it retains full gene weight vectors and compares them by cosine similarity. Later releases have built reporting and control around that core — a metaprogram composition matrix showing which samples contributed, custom signature databases for enrichment testing, and the ability to drop meta-programs from results.
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.
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.
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.
GeneNMF applies non-negative matrix factorization to single-cell expression data to find gene programs, then consolidates programs recurring across samples into meta-programs. Version 0.6.0 replaced the consolidation method: instead of reducing each program to a gene set and taking a consensus, it retains full gene weight vectors and compares them by cosine similarity. Later releases have built reporting and control around that core — a metaprogram composition matrix showing which samples contributed, custom signature databases for enrichment testing, and the ability to drop meta-programs from results.
The package is moving from producing meta-programs to letting users interrogate and constrain how they were formed. Composition matrices, the drop function and downsampled similarity heatmaps all serve inspection rather than derivation. The parameters added alongside the 0.6.0 rewrite — specificity weighting, cumulative weight thresholds, confidence defined as the fraction of programs containing a gene — turn what were fixed internal choices into stated, tunable ones.
Recent releases have been fixes and compatibility work rather than method changes, so the core approach appears settled. The dependency on an RcppML version not on CRAN is the loose end most likely to force the next release.
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 GeneNMF.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
The area-proportional Euler diagram package is finished software, and maintained like it.
See all churon alternatives → · See all GeneNMF alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. churon and GeneNMF 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. churon and GeneNMF 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.
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.
Top GeneNMF alternatives in Analytics are ranked by recent ship velocity. Browse the "GeneNMF alternatives" section above for the current picks, or visit /alternatives/genenmf for the full list with editorial commentary on each.