maths.genealogy
A young Mathematics Genealogy client spending its first four releases satisfying CRAN.
A side-by-side editorial comparison of atrrr and GeneNMF — release velocity, themes, recent moves, and the top alternatives to consider.
The R client for Bluesky adds a firehose and stops assuming Bluesky is the server
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
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.
atrrr wraps the AT Protocol for R, covering posting, search, profiles, lists, direct messages and starter packs. The latest release adds an experimental firehose implementation and allows connecting to personal data servers other than Bluesky's — Eurosky is the example given. Earlier releases built out the posting surface: videos, multiple images, link preview cards, hashtags, and ggplot2 objects posted directly.
Two years of work made atrrr a capable REST client for one network. This release starts undoing that second part. The firehose is a different access mode — a stream rather than a request — which is what researchers doing collection at scale need, and PDS-agnosticism means the package addresses the protocol rather than the company. The rest of the changelog is steadily maintenance-shaped: repeated httr2 compatibility work, endpoint changes tracked as they happen.
The firehose is labelled experimental, so the next release most likely stabilises it rather than opening another front — though the notes give no detail on what remains unfinished.
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 atrrr or GeneNMF.
A young Mathematics Genealogy client spending its first four releases satisfying CRAN.
The natverse package that taught neuron data to remember which brain space it lives in.
The NBLAST neuron-similarity engine is stable code on life support, shipping once every few years.
A random-walk generator that outgrew one dimension and renamed its core column to prove it.
Time-based rolling statistics for water-quality data, finally getting plotting and padding built in.
A roxygen2 documentation-reuse helper whose release notes are mostly upstream damage control.
See all atrrr alternatives → · See all GeneNMF alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. atrrr 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. atrrr 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 atrrr alternatives in Analytics are ranked by recent ship velocity. Browse the "atrrr alternatives" section above for the current picks, or visit /alternatives/atrrr 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.