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Comparison · Analytics

eiaapi vs GeneNMF

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

Shared themes:r-package

eiaapi vs GeneNMF: at a glance

FeatureeiaapiGeneNMF
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesenergy-data, api-client, eia, time-seriessingle-cell-genomics, nmf, gene-programs, bioinformatics
Last editorial update46m ago1h ago
WebsiteVisit →Visit →

What is eiaapi?

A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.

eiaapi wraps the US Energy Information Administration API: eia_get() issues a single query, and eia_backfill() decomposes a large date range into chunks the API will actually serve. Three releases across two years cover the package's entire history, and the second and third both exist because of eia_backfill().

Read the full eiaapi 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 →

eiaapi vs GeneNMF: editorial side-by-side

E
eiaapi
ANALYTICS
0.0

A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.

◆ Current state

eiaapi wraps the US Energy Information Administration API: eia_get() issues a single query, and eia_backfill() decomposes a large date range into chunks the API will actually serve. Three releases across two years cover the package's entire history, and the second and third both exist because of eia_backfill().

◆ Where it's heading

The package's development is a single problem being worked: pulling more data than one request allows. Version 0.1.2 introduced eia_backfill() for exactly that, and 0.2.0 fixed it for non-hourly frequencies by adding the frequency and data arguments so it matches eia_get()'s interface and by reworking Date handling. That convergence of the two functions' signatures is the visible design direction — one query idiom regardless of range size.

◆ Prediction

With the two functions now taking aligned arguments, further work most plausibly extends coverage to more EIA endpoints or response shapes. The entries name no specific target.

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 eiaapi 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 eiaapi or GeneNMF.

See all eiaapi alternatives → · See all GeneNMF alternatives →

Recent activity from eiaapi and GeneNMF

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

  1. 11mo agoGeneNMFSingle-sample runs fixed; gene weight definition refined
  2. 1y agoeiaapieia_backfill() works for non-hourly frequencies
  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. 3y agoeiaapieia_backfill() added for large data queries
  8. 3y agoeiaapiInitial release with eia_get() API query function

Frequently asked questions

What is the difference between eiaapi and GeneNMF?

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

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

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