simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
eiaapi vs STACAS
A side-by-side editorial comparison of eiaapi and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
eiaapi vs STACAS: at a glance
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().
What is STACAS?
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
eiaapi vs STACAS: editorial side-by-side
eiaapi
0.0ANALYTICS
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.
STACAS
0.0ANALYTICS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
◆ Current state
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
◆ Where it's heading
The method work concentrated in version 2.0 and has been stable since; everything after is Seurat compatibility and operational robustness. Versions 2.1.1 through 2.3.0 track Seurat v5 assays, v3-to-v5 conversion, multi-layer objects and SCT normalisation, with the genuinely useful additions — a reference seed dataset, max.seed.datasets for large-scale integration, min.sample.size — arriving as side effects of that work. The package is from the same lab as GeneNMF, and its release rhythm follows the single-cell ecosystem's upstream churn rather than an internal roadmap.
◆ Prediction
Expect the next release to follow further Seurat object-model changes, which have driven the last three. Nothing in the entries indicates new anchor-scoring or correction methodology in progress.
Alternatives to eiaapi and STACAS
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 STACAS.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all eiaapi alternatives → · See all STACAS alternatives →
Recent activity from eiaapi and STACAS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoeiaapieia_backfill() works for non-hourly frequencies
- 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
- 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
- 3y agoeiaapieia_backfill() added for large data queries
- 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
- 3y agoeiaapiInitial release with eia_get() API query function
- 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting ⚡
- 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support
Frequently asked questions
What is the difference between eiaapi and STACAS?
Both compete on the same themes — r-package — within Analytics. eiaapi and STACAS 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 STACAS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eiaapi and STACAS 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 STACAS?
Top STACAS alternatives in Analytics are ranked by recent ship velocity. Browse the "STACAS alternatives" section above for the current picks, or visit /alternatives/stacas for the full list with editorial commentary on each.