← Back to home
Comparison · Infra & APIs

bcdata vs mice

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

Shared themes:r-package

bcdata vs mice: at a glance

Featurebcdatamice
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesopen-data, spatial-data, api-client, cql-queriesmissing-data, multiple-imputation, statistics, r-package
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is bcdata?

The R gateway to B.C.'s data catalogue, mostly busy keeping pace with the servers behind it.

bcdata searches the British Columbia Data Catalogue and pulls records from it, including spatial layers retrieved through WMS and WFS with dplyr-style filtering translated into CQL queries sent to the server. The recent releases are small and corrective: 0.5.3 fixes malformed CQL generated by geometry predicates such as INTERSECTS, which the server had been rejecting outright, and 0.5.2 drops a leaflet extension dependency in favour of a base leaflet call. Cadence is a few releases a year.

Read the full bcdata trajectory →

What is mice?

mice can finally predict, not just estimate, from multiply imputed data.

mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.

Read the full mice trajectory →

bcdata vs mice: editorial side-by-side

B
bcdata
INFRA · APIS
0.0

The R gateway to B.C.'s data catalogue, mostly busy keeping pace with the servers behind it.

◆ Current state

bcdata searches the British Columbia Data Catalogue and pulls records from it, including spatial layers retrieved through WMS and WFS with dplyr-style filtering translated into CQL queries sent to the server. The recent releases are small and corrective: 0.5.3 fixes malformed CQL generated by geometry predicates such as INTERSECTS, which the server had been rejecting outright, and 0.5.2 drops a leaflet extension dependency in favour of a base leaflet call. Cadence is a few releases a year.

◆ Where it's heading

Almost everything in this window is a response to something changing on the other side of the connection: a CKAN 2.9 upgrade that stopped search and listing functions returning complete results, WMS and WFS capability requests that cannot be relied on, dbplyr tightening the rules for local evaluation, and general catalogue-side churn. The package's own interface has been stable since the 0.4.0 change that required local() around locally-evaluated filter calls, and the work since has gone into keeping that stable interface working rather than extending it.

◆ Prediction

Expect the same pattern: targeted fixes as the catalogue and its CKAN, WMS and WFS layers change, with occasional dependency pruning of the kind 0.5.2 did. Nothing in these entries points toward a 0.6 or a change in what the package covers.

M
mice
INFRA · APIS
0.0

mice can finally predict, not just estimate, from multiply imputed data.

◆ Current state

mice is the reference implementation of multiple imputation by chained equations, and the default answer to missing data in R. The releases here follow a consistent shape: one or two substantive additions per version, most contributed by outside authors, plus fixes to methods that have been in the package for years. The current 3.19.0 adds predict_mi(), which pools predictions across imputations under Rubin's rules and can return prediction intervals.

◆ Where it's heading

Two things are happening. The imputation method catalogue keeps widening — lasso variants, multivariate PMM, categorical PMM via canonical correlation — while the pooling side is being extended past its original purpose, first to synthetic data, now to predictions on held-out sets. That second thread points at predictive modelling workflows rather than the inferential ones mice was built for. Meanwhile the maintainers keep finding consequential old bugs: the augment() ordered-factor defect in 3.18.0 had been silently degrading ordinal imputations for years.

◆ Prediction

predict_mi() is framed around evaluating predictive performance on test sets, and the ignore argument added in 3.12.0 already exists to hold out rows from the imputation model. Expect the next work to join those up into a fuller train/test story for imputed data, since the pieces are now in place but not yet connected.

Alternatives to bcdata and mice

Other Infra & APIs 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 bcdata or mice.

See all bcdata alternatives → · See all mice alternatives →

Recent activity from bcdata and mice

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

  1. 1mo agobcdataGeometry predicate filters no longer rejected by the server
  2. 6mo agobcdataleaflet.extras dependency dropped for WMS legends
  3. 8mo agomicemice 3.19.0
  4. 1y agomicemice 3.18.0
  5. 1y agobcdataSearch and listing functions return complete results again
  6. 1y agobcdataHardened against failing WMS and WFS capability requests
  7. 1y agomicemice 3.17.0
  8. 3y agomicemice 3.16.0
  9. 3y agobcdataJSON resources readable; organization listing helpers added
  10. 3y agobcdatafilter() now requires local() for locally-evaluated calls
  11. 3y agomicemice 3.15.0
  12. 4y agomicemice 3.14.0

Frequently asked questions

What is the difference between bcdata and mice?

Both compete on the same themes — r-package — within Infra & APIs. bcdata and mice 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 bcdata better than mice?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bcdata and mice 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to bcdata?

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

What are the best alternatives to mice?

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