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forecasting vs PurpleAir

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

forecasting vs PurpleAir: at a glance

FeatureforecastingPurpleAir
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, epidemiology, reproducibility, vignettesair-quality, sensor-data, r-package, api-wrapper
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is forecasting?

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

Read the full forecasting trajectory →

What is PurpleAir?

The R client for PurpleAir sensors keeps finding its time-averaging was wrong.

PurpleAir is a small R client for the PurpleAir air quality sensor API, covering sensor queries, historical readings, and — more recently — finding a sensor on the local network by IP address and id. Authentication has been simplified to an environment variable only, with the redundant key argument removed. The package is maintained reactively, and most of what ships is correctness work on the queries it already makes.

Read the full PurpleAir trajectory →

forecasting vs PurpleAir: editorial side-by-side

F
forecasting
ANALYTICS
0.0

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

◆ Current state

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

◆ Where it's heading

The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.

◆ Prediction

Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.

P
PurpleAir
ANALYTICS
0.0

The R client for PurpleAir sensors keeps finding its time-averaging was wrong.

◆ Current state

PurpleAir is a small R client for the PurpleAir air quality sensor API, covering sensor queries, historical readings, and — more recently — finding a sensor on the local network by IP address and id. Authentication has been simplified to an environment variable only, with the redundant key argument removed. The package is maintained reactively, and most of what ships is correctness work on the queries it already makes.

◆ Where it's heading

The recurring theme is time aggregation. Weekly, monthly and yearly average intervals were wrong and fixed in one release; the weekly average was wrong again and fixed in the next. For an air quality package that is not incidental — averaging window is what turns a stream of sensor readings into an exposure estimate, and downstream analyses inherit the error silently. The other thread is failing earlier and more clearly: explicit errors for spatial inputs the sensor query does not accept, better index parsing so malformed requests never reach the API, and handling for history calls that return nothing. Local sensor discovery is the one genuine capability addition, opening a path that does not depend on the cloud API at all.

◆ Prediction

On this record, further aggregation and input-validation fixes are the likeliest next releases; whether local network access grows past discovery into full local data retrieval is not something the entries indicate.

Alternatives to forecasting and PurpleAir

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 forecasting or PurpleAir.

See all forecasting alternatives → · See all PurpleAir alternatives →

Recent activity from forecasting and PurpleAir

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

  1. 1mo agoforecastingVignettes rebuilt under R 4.6.1
  2. 3mo agoPurpleAirWeekly averages fixed again; API key argument dropped
  3. 10mo agoPurpleAirLocal sensor discovery, and averaging intervals corrected
  4. 1y agoPurpleAirBounding box sensor queries fixed
  5. 2y agoforecastingVignettes rebuilt under R 4.3.2
  6. 5y agoforecastingVignettes rebuilt under R 4.0.4
  7. 7y agoforecastingStandard PIT and discretized log-normal scoring
  8. 7y agoforecastingThe version used for the book chapter, with pinned dependencies

Frequently asked questions

What is the difference between forecasting and PurpleAir?

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

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

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

What are the best alternatives to PurpleAir?

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