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condformat vs GeneNMF

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

Shared themes:r-package

condformat vs GeneNMF: at a glance

FeaturecondformatGeneNMF
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, table-formatting, test-coverage, maintenance-debtsingle-cell-genomics, nmf, gene-programs, bioinformatics
Last editorial update4h ago54m ago
WebsiteVisit →Visit →

What is condformat?

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

Read the full condformat 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 →

condformat vs GeneNMF: editorial side-by-side

C
condformat
ANALYTICS
0.0

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

◆ Current state

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

◆ Where it's heading

This is a maintenance-debt payoff rather than a change of direction. The bulk of 0.11.0 is test coverage — render_gtable, knit_print, theme_grob, render_xlsx and rule_fill_bar all gained tests — which reads as a maintainer establishing a safety net before touching anything further. The .col pronoun and scalar recycling in the text rules are the only real API additions, and both smooth inconsistencies rather than extend the rule vocabulary.

◆ Prediction

With coverage and CI now in place, the next release is more likely to extend rule or output-format support than to continue with fixes, though the three-year gap makes cadence hard to call from these entries alone.

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 condformat 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 condformat or GeneNMF.

See all condformat alternatives → · See all GeneNMF alternatives →

Recent activity from condformat and GeneNMF

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

  1. 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
  2. 11mo agoGeneNMFSingle-sample runs fixed; gene weight definition refined
  3. 1y agoGeneNMFMetaprogram composition exposed and custom signature DBs supported
  4. 1y agoGeneNMFSimilarity heatmap downsampling and meta-program removal
  5. 2y agoGeneNMFMeta-programs rebuilt on gene weight vectors and cosine similarity
  6. 2y agoGeneNMFFirst stable release published to CRAN
  7. 2y agocondformatDocumentation fixes and internal S3 method registration
  8. 3y agocondformatcondformat2grob() gains a draw argument for composite figures
  9. 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
  10. 7y agocondformatAdds bar, bold and color rules plus grob rendering
  11. 8y agocondformatIntroduces the tidy-evaluation API alongside the old one

Frequently asked questions

What is the difference between condformat and GeneNMF?

Both compete on the same themes — r-package — within Analytics. condformat 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 condformat better than GeneNMF?

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

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