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Comparison · Analytics
epinowcast vs rasterpic
A side-by-side editorial comparison of epinowcast and rasterpic — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r
epinowcast vs rasterpic: at a glance
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.
What is rasterpic?
rasterpic became an S3 generic and picked up stars support; the rest is upkeep
rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.
epinowcast vs rasterpic: editorial side-by-side
epinowcast
0.0ANALYTICS
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.
rasterpic
0.0ANALYTICS
rasterpic became an S3 generic and picked up stars support; the rest is upkeep
◆ Current state
rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.
◆ Where it's heading
The direction is broader input-class coverage inside the same single-function design, and tighter integration with the plotting ecosystem downstream. 0.3.0 renamed output layers to r/g/b/alpha specifically to stay compatible with tmap 4.0; 0.5.1 restored the RGB specification on masked and inverted output after it regressed, and moved errors and warnings to cli formatting. Releases are frequent but small.
◆ Prediction
With the generic in place, adding further input classes is now cheap, so that is the likely direction. The 0.5.1 regression on mask/inverse output suggests the RGB-specification path is the fragile part worth watching.
Alternatives to epinowcast and rasterpic
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 rasterpic.
spsurvey
spsurvey has spent four years consolidating after its 5.0.0 rewrite rather than adding to it
StreamCatTools
StreamCatTools is quietly moving off web services and onto cloud-native GeoParquet
reproducible
reproducible added a windowed read path so remote GeoTiffs never fully download
qcTAF
qcTAF is building an automated checklist for reproducible fisheries assessments, one criterion at a time
rpymat
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
See all epinowcast alternatives → · See all rasterpic alternatives →
Recent activity from epinowcast and rasterpic
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoepinowcastgp() brings Gaussian processes to every module, and centring doubles sampling speed ⚡
- 1mo agorasterpiccli-formatted messages; RGB specification restored for masked output
- 2mo agorasterpicrasterpic_img() becomes an S3 generic with stars support
- 3mo agoepinowcastCRAN preparation, inspection methods, and retrospective-only fitting
- 4mo agorasterpicVignettes migrated to Quarto
- 7mo agoepinowcastStructural reporting patterns for non-daily reporting cycles
- 7mo agorasterpicNew logo; minimum R raised to 4.1.0
- 10mo agoepinowcastLifecycle moves to stable; pathfinder and negative binomial support
- 1y agorasterpicOutput layers renamed r/g/b/alpha for tmap 4.0 compatibility
- 1y agorasterpicOutput declared as RGB raster; unused dependencies removed
- 2y agoepinowcastNon-parametric reference date models and a stricter max_delay default
- 3y agoepinowcastFix initial conditions for cmdstan 2.32.1 compatibility
Frequently asked questions
What is the difference between epinowcast and rasterpic?
Both compete on the same themes — r — within Analytics. epinowcast and rasterpic 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 rasterpic?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epinowcast and rasterpic 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 rasterpic?
Top rasterpic alternatives in Analytics are ranked by recent ship velocity. Browse the "rasterpic alternatives" section above for the current picks, or visit /alternatives/rasterpic for the full list with editorial commentary on each.