← Back to home
Comparison · Analytics

atrrr vs GeneNMF

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

Shared themes:r-package

atrrr vs GeneNMF: at a glance

FeatureatrrrGeneNMF
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessocial-media-research, at-protocol, bluesky, r-packagesingle-cell-genomics, nmf, gene-programs, bioinformatics
Last editorial update5h ago53m ago
WebsiteVisit →Visit →

What is atrrr?

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.

Read the full atrrr trajectory →

What is GeneNMF?

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.

Read the full GeneNMF trajectory →

atrrr vs GeneNMF: editorial side-by-side

A
atrrr
ANALYTICS
0.0

The R client for Bluesky adds a firehose and stops assuming Bluesky is the server

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

G
GeneNMF
ANALYTICS
0.0

GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to atrrr and GeneNMF

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.

See all atrrr alternatives → · See all GeneNMF alternatives →

Recent activity from atrrr and GeneNMF

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

  1. 2mo agoatrrrExperimental firehose and support for non-Bluesky PDS
  2. 11mo agoGeneNMFSingle-sample runs fixed; gene weight definition refined
  3. 1y agoatrrrDirect messages and starter-pack queries
  4. 1y agoGeneNMFMetaprogram composition exposed and custom signature DBs supported
  5. 1y agoatrrrPosting and auth fixes for httr2 1.1.0
  6. 1y agoatrrrVideo posting, multi-image support, and list retrieval
  7. 1y agoGeneNMFSimilarity heatmap downsampling and meta-program removal
  8. 1y agoatrrrLanguage, tag and label options on posts
  9. 2y agoGeneNMFMeta-programs rebuilt on gene weight vectors and cosine similarity
  10. 2y agoatrrrPreview cards, hashtags, and direct ggplot2 posting
  11. 2y agoGeneNMFFirst stable release published to CRAN

Frequently asked questions

What is the difference between atrrr and GeneNMF?

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.

Is atrrr better than GeneNMF?

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.

What are the best alternatives to atrrr?

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.

What are the best alternatives to GeneNMF?

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.