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cfrnow vs gtfstools

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

Shared themes:r-package

cfrnow vs gtfstools: at a glance

Featurecfrnowgtfstools
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesepidemiology, bayesian-modelling, cfr-estimation, r-packagegtfs, public-transport, geospatial, r-package
Last editorial update10h ago49m ago
WebsiteVisit →Visit →

What is cfrnow?

A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks

cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.

Read the full cfrnow trajectory →

What is gtfstools?

gtfstools stopped guarding its own object model and started accepting everyone else's.

gtfstools reads, edits, filters and validates GTFS public transport feeds in R on a data.table backend. Since 1.3.0 it accepts GTFS objects produced by other packages such as gtfsio and tidytransit, converting them through an as_dt_gtfs() generic. Validation runs MobilityData's canonical validator, now supported through v6.0.0.

Read the full gtfstools trajectory →

cfrnow vs gtfstools: editorial side-by-side

C
cfrnow
ANALYTICS
5.0

A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks

◆ Current state

cfrnow estimates case fatality ratios from line-list data while an outbreak is still running, using a Bayesian mixture-cure survival model registered as an `epidist` model type. Three releases in a month took it from first public release to stratified, partially-pooled fits with posterior-predictive checking. It leans on `distspec` for delay parameterisation, which reached CRAN alongside the 0.2.1 patch.

◆ Where it's heading

The arc runs from producing a single corrected CFR number toward supporting a full model-checking workflow. 0.2.0 added the pieces a modeller needs to defend an estimate: replicate line lists replayed through the real-time truncation, an ascertainment-ratio correction for when fatal and non-fatal cases enter the line list at different rates, and per-group CFRs from `brms` formulas. Delay coverage widened from LogNormal and Gamma to Weibull in the same release.

◆ Prediction

Expect the next release to keep widening covariate and pooling support rather than adding new outcome types, since every 0.2.0 addition extended the existing formula interface instead of replacing it.

G
gtfstools
ANALYTICS
0.0

gtfstools stopped guarding its own object model and started accepting everyone else's.

◆ Current state

gtfstools reads, edits, filters and validates GTFS public transport feeds in R on a data.table backend. Since 1.3.0 it accepts GTFS objects produced by other packages such as gtfsio and tidytransit, converting them through an as_dt_gtfs() generic. Validation runs MobilityData's canonical validator, now supported through v6.0.0.

◆ Where it's heading

The package built out a wide function surface first — filters, geometry conversion, speed and duration calculations — then turned outward. Delegating validation to MobilityData's validator and accepting other packages' objects both trade self-sufficiency for a position inside the wider GTFS ecosystem. Deprecations are handled slowly, with old behaviour left as the default for a release or more.

◆ Prediction

Expect continued validator version tracking and further completion of the deprecation cycle around filter_by_stop_id()'s full_trips behaviour.

Alternatives to cfrnow and gtfstools

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 cfrnow or gtfstools.

See all cfrnow alternatives → · See all gtfstools alternatives →

Recent activity from cfrnow and gtfstools

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

  1. 5d agocfrnowdistspec dependency moves to CRAN
  2. 6d agocfrnowStratified CFR fits, Weibull delays, posterior-predictive checks
  3. 1mo agocfrnowFirst release: real-time CFR from a Bayesian mixture-cure model
  4. 1y agogtfstoolsSupports canonical GTFS validator v5 and v6
  5. 1y agogtfstoolsAccepts GTFS objects from gtfsio and tidytransit
  6. 3y agogtfstoolsValidation delegated to MobilityData's canonical validator
  7. 4y agogtfstoolsAdds time-of-day, weekday and frequency filtering functions
  8. 4y agogtfstoolsEstablishes the core GTFS filtering and sf conversion family

Frequently asked questions

What is the difference between cfrnow and gtfstools?

Both compete on the same themes — r-package — within Analytics. cfrnow is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is cfrnow better than gtfstools?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfrnow is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to cfrnow?

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

What are the best alternatives to gtfstools?

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