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Comparison · Analytics

epinowcast vs glystats

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

epinowcast vs glystats: at a glance

Featureepinowcastglystats
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, bayesian, stan, epidemiologyglycomics, statistics, differential analysis, breaking changes
Last editorial update16m ago1h ago
WebsiteVisit →Visit →

What is epinowcast?

epinowcast added Gaussian processes to its formula interface and made the sampler twice as fast

epinowcast is a Bayesian nowcasting toolkit for right-truncated epidemiological count data, built on Stan with a brms-style formula interface. Over 2025-2026 it moved from experimental to stable, prepared for CRAN, and broadened past nowcasting proper — 0.6.0's max_delay = 1 support allows purely retrospective fitting of fully reported counts. 0.7.0 in July 2026 is the largest modelling release in the window.

Read the full epinowcast trajectory →

What is glystats?

glystats keeps deleting analyses it decided belong somewhere else.

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

Read the full glystats trajectory →

epinowcast vs glystats: editorial side-by-side

E
epinowcast
ANALYTICS
0.0

epinowcast added Gaussian processes to its formula interface and made the sampler twice as fast

◆ Current state

epinowcast is a Bayesian nowcasting toolkit for right-truncated epidemiological count data, built on Stan with a brms-style formula interface. Over 2025-2026 it moved from experimental to stable, prepared for CRAN, and broadened past nowcasting proper — 0.6.0's max_delay = 1 support allows purely retrospective fitting of fully reported counts. 0.7.0 in July 2026 is the largest modelling release in the window.

◆ Where it's heading

The package is converging on a general formula-driven latent process toolkit rather than a single nowcasting model. rw() and arima() were joined in 0.7.0 by gp(), a Hilbert-space reduced-rank Gaussian process placeable on any module's linear predictor with selectable kernels and an integration order matching arima()'s d. Alongside it, the fixed-effects design and integrated residuals are now centred against the module intercept, which the notes report roughly doubles sampling speed on a weekly random-walk growth model.

◆ Prediction

With CRAN preparation done in 0.6.0 and the model surface substantially widened in 0.7.0, the next release is likely a CRAN submission plus consolidation of the gp() kernels. The release notes repeatedly benchmark against EpiNow2's behaviour, suggesting continued convergence between the two codebases.

G
glystats
ANALYTICS
0.0

glystats keeps deleting analyses it decided belong somewhere else.

◆ Current state

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

◆ Where it's heading

The package is narrowing on purpose. The through-line across removals is a refusal to support two calling conventions or two homes for the same analysis: containers only, no bare matrices; one enrichment implementation, in glyfun. The additive work in the window went to statistical rigor rather than surface area, with effect sizes added to the four main tests, sign bugs fixed, and the log2 pseudo-count reduced.

◆ Prediction

With the interface pruning finished, the next releases are more likely to deepen the tests that remain than to add new analysis families.

Alternatives to epinowcast and glystats

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 epinowcast or glystats.

See all epinowcast alternatives → · See all glystats alternatives →

Recent activity from epinowcast and glystats

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

  1. 1mo agoglystatsDocs recommend the new SE containers
  2. 1mo agoglystatsTests recognize both container types consistently
  3. 1mo agoepinowcastgp() brings Gaussian processes to every module, and centring doubles sampling speed
  4. 1mo agoglystatsMatrix interfaces and enrichment functions removed
  5. 2mo agoglystatsSmaller log2 pseudo-count across DEA and clustering
  6. 3mo agoglystatsWGCNA and clustering dropped, enrichment deprecated
  7. 3mo agoepinowcastCRAN preparation, inspection methods, and retrospective-only fitting
  8. 4mo agoglystatsEffect sizes added and test statistic signs fixed
  9. 7mo agoepinowcastStructural reporting patterns for non-daily reporting cycles
  10. 10mo agoepinowcastLifecycle moves to stable; pathfinder and negative binomial support
  11. 2y agoepinowcastNon-parametric reference date models and a stricter max_delay default
  12. 3y agoepinowcastFix initial conditions for cmdstan 2.32.1 compatibility

Frequently asked questions

What is the difference between epinowcast and glystats?

They serve adjacent needs but don't currently overlap on shipped themes. epinowcast and glystats 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 epinowcast better than glystats?

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

Top epinowcast alternatives in Analytics are ranked by recent ship velocity. Browse the "epinowcast alternatives" section above for the current picks, or visit /alternatives/epinowcast for the full list with editorial commentary on each.

What are the best alternatives to glystats?

Top glystats alternatives in Analytics are ranked by recent ship velocity. Browse the "glystats alternatives" section above for the current picks, or visit /alternatives/glystats for the full list with editorial commentary on each.