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forecast vs taxize

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

forecast vs taxize: at a glance

Featureforecasttaxize
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, time-series, r-stats, major-releasetaxonomy, api-aggregation, upstream-churn, deprecation
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is forecast?

After years of pure maintenance, forecast 9.0.0 reopens the package

forecast is the long-established R forecasting package that fable was meant to succeed. For several years its releases were RNG fixes, base-R compatibility and documentation. Then 9.0.0 arrived with a batch of new model constructors, wider prediction-interval support and a rewritten accuracy() built on S3 methods.

Read the full forecast trajectory →

What is taxize?

taxize spends its releases absorbing other people's API changes, one dead source at a time.

The most recent work is migration: 0.10.0 replaced the deprecated Global Names Resolver functions with GNA equivalents (`gna_verifier`, `gna_parse`), rewrote `scrapenames` for the new API, and updated its rredlist usage to match that package's own v4 rewrite. 0.10.1 then tuned `gna_verifier`'s batch size to 50. The older entries in the window show the same shape from a different angle: `tnrs()` made defunct because the service died, COL dropped over rate limiting, NatureServe reworked for a new API, and a package-wide parameter rename to `sci` / `com` / `id` / `sci_com` / `sci_id`.

Read the full taxize trajectory →

forecast vs taxize: editorial side-by-side

F
forecast
ANALYTICS
0.0

After years of pure maintenance, forecast 9.0.0 reopens the package

◆ Current state

forecast is the long-established R forecasting package that fable was meant to succeed. For several years its releases were RNG fixes, base-R compatibility and documentation. Then 9.0.0 arrived with a batch of new model constructors, wider prediction-interval support and a rewritten accuracy() built on S3 methods.

◆ Where it's heading

The major version reframes forecast around explicit *_model() constructors — mean, random walk, spline, theta, Croston — rather than the older function-per-method style, and the 9.0.x patches since have been performance and argument-handling cleanups on top. That is an active maintenance line, not a package winding down in favour of fable.

◆ Prediction

Expect continued 9.0.x patches consolidating the new constructors and their forecast methods, with the older interfaces kept working alongside them.

T
taxize
ANALYTICS
0.0

taxize spends its releases absorbing other people's API changes, one dead source at a time.

◆ Current state

The most recent work is migration: 0.10.0 replaced the deprecated Global Names Resolver functions with GNA equivalents (`gna_verifier`, `gna_parse`), rewrote `scrapenames` for the new API, and updated its rredlist usage to match that package's own v4 rewrite. 0.10.1 then tuned `gna_verifier`'s batch size to 50. The older entries in the window show the same shape from a different angle: `tnrs()` made defunct because the service died, COL dropped over rate limiting, NatureServe reworked for a new API, and a package-wide parameter rename to `sci` / `com` / `id` / `sci_com` / `sci_id`.

◆ Where it's heading

taxize's job is aggregating a dozen taxonomic databases, so most of its engineering is downstream of decisions it does not control — sources go away, endpoints change, rate limits appear. The visible trend is consolidation: fewer, better-maintained backends rather than broader coverage. Release cadence has thinned to roughly one a year, and the rredlist coupling means it now inherits that package's breaking changes too.

◆ Prediction

Expect the next release to track another upstream source change rather than add new databases; the deprecated-parameter aliases from the 0.9.97 rename are also overdue for removal.

Alternatives to forecast and taxize

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 forecast or taxize.

See all forecast alternatives → · See all taxize alternatives →

Recent activity from forecast and taxize

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

  1. 4mo agoforecastFixes for checkresiduals() and mstl() lambda handling
  2. 5mo agotaxizetaxize 0.10.1 lowers gna_verifier batch size
  3. 5mo agoforecastFaster ARFIMA search and forecast.mlm() argument handling
  4. 7mo agoforecastforecast 9.0.0 adds five model constructors and rewrites accuracy()
  5. 1y agoforecastDocumentation and bug-fix release
  6. 1y agotaxizetaxize 0.10.0 migrates to GNA and the new rredlist API
  7. 2y agoforecastRNG state and base-R head/tail compatibility
  8. 2y agoforecastMuch faster hfitted() for ARIMA and ETS models
  9. 5y agotaxizetaxize 0.9.99 retires tnrs(), paginates WORMS queries
  10. 5y agotaxizetaxize 0.9.98 adds NCBI and zoological rank names
  11. 6y agotaxizetaxize 0.9.97 standardises parameter names package-wide
  12. 6y agotaxizetaxize 0.9.96 updates NatureServe for its new API

Frequently asked questions

What is the difference between forecast and taxize?

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

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

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

What are the best alternatives to taxize?

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