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EpiNow2 vs gridpattern

A side-by-side editorial comparison of EpiNow2 and gridpattern — release velocity, themes, recent moves, and the top alternatives to consider.

EpiNow2 vs gridpattern: at a glance

FeatureEpiNow2gridpattern
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, bayesian-modelling, reproduction-number, r-packager-graphics, pattern-fills, grid, data-visualization
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is EpiNow2?

EpiNow2 unified its model interface, then went back to deepen the estimators behind it

EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.

Read the full EpiNow2 trajectory →

What is gridpattern?

gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.

An R package supplying pattern fills for grid graphics — stripes, weaves, polygon tilings, images and placeholders. Releases are infrequent and irregular, roughly one or two a year with an eighteen-month gap before the most recent. The work divides between adding pattern types and making the existing ones behave consistently, particularly around units and how spacing parameters are interpreted.

Read the full gridpattern trajectory →

EpiNow2 vs gridpattern: editorial side-by-side

E
EpiNow2
ANALYTICS
0.0

EpiNow2 unified its model interface, then went back to deepen the estimators behind it

◆ Current state

EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.

◆ Where it's heading

The package spent this window paying down interface debt and is now extending from the tidier base. Options that existed only for `estimate_infections()` have been propagated outward: `estimate_truncation()` gained the full `dist_spec` delay families, `obs_opts()` observation model selection between Poisson and negative binomial, and the `likelihood` and `return_likelihood` settings that make prior-only fits and loo-compatible output possible. Hardcoded assumptions are being replaced by specifiable ones in the same motion — the truncation model's additive noise term was a fixed `sigma ~ normal(0, 1)` prior and is now a `dist_spec` argument.

◆ Prediction

Expect the remaining modelling functions to keep converging on the shared options interface, since the last two releases have each moved another function onto it. A new `estimate_dist()` for interval-censored linelist data suggests delay estimation is the area still gaining surface.

G
gridpattern
ANALYTICS
0.0

gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.

◆ Current state

An R package supplying pattern fills for grid graphics — stripes, weaves, polygon tilings, images and placeholders. Releases are infrequent and irregular, roughly one or two a year with an eighteen-month gap before the most recent. The work divides between adding pattern types and making the existing ones behave consistently, particularly around units and how spacing parameters are interpreted.

◆ Where it's heading

Two long-running efforts are visible. The first is unit consistency: v1.2.1 gave the geometry patterns a units parameter, v1.2.2 extended it to weave and fixed polygon tiling to respect it — the slow propagation of one design decision through a family of functions. The second is integration with R's own graphics capabilities, which reaches its clearest expression in v1.4.2's line pattern: rather than filling bands with solid colour as stripe does, it draws stroked lines through the device, so every built-in linetype including dotdash, twodash and custom hex specifications works. The package is also visibly maintaining its external dependencies, having rotated placeholder image services as hosts disappeared.

◆ Prediction

Expect further pattern types and continued propagation of the units parameter to any function still missing it; the entries give no indication of a change in the package's scope beyond pattern fills.

Alternatives to EpiNow2 and gridpattern

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 EpiNow2 or gridpattern.

See all EpiNow2 alternatives → · See all gridpattern alternatives →

Recent activity from EpiNow2 and gridpattern

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

  1. 1mo agogridpatternHatch and line patterns added; wave gains ten new types
  2. 1mo agoEpiNow2estimate_truncation gains full delay and observation options
  3. 6mo agoEpiNow2Unified return objects and shared accessors across all models
  4. 1y agoEpiNow2Patch for an upstream rstan issue
  5. 1y agoEpiNow2Accumulation for irregularly reported data; unified priors
  6. 1y agogridpatternaRtsy generative patterns available as fills
  7. 1y agoEpiNow2Matern kernel spectral density fix and GP prior revert
  8. 1y agoEpiNow2Gaussian Process model improvements and explicit defaults
  9. 2y agogridpatternunits parameter reaches weave; polygon tiling honours it
  10. 2y agogridpatternpatternFill() returns a grid pattern object; patterns can nest
  11. 2y agogridpatternText pattern example skipped on devices lacking the glyphs
  12. 2y agogridpatternreset_image_cache() added; R 4.1 feature detection offered standalone

Frequently asked questions

What is the difference between EpiNow2 and gridpattern?

They serve adjacent needs but don't currently overlap on shipped themes. EpiNow2 and gridpattern 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 EpiNow2 better than gridpattern?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. EpiNow2 and gridpattern 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 EpiNow2?

Top EpiNow2 alternatives in Analytics are ranked by recent ship velocity. Browse the "EpiNow2 alternatives" section above for the current picks, or visit /alternatives/epinow2 for the full list with editorial commentary on each.

What are the best alternatives to gridpattern?

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