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kde1d vs r-owidapi

A side-by-side editorial comparison of kde1d and r-owidapi — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

kde1d vs r-owidapi: at a glance

Featurekde1dr-owidapi
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdensity-estimation, kernel-methods, zero-inflation, cpp-libraryopen-data, our-world-in-data, r-package, api-wrapper
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is kde1d?

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

Read the full kde1d trajectory →

What is r-owidapi?

The R client for Our World in Data found its search had been reading a tenth of the catalog.

owidapi is a small R client for Our World in Data, covering chart data retrieval, metadata, the full chart catalog, and search over it, with experimental Shiny output helpers. It is three releases old and the most recent one is almost entirely repair: the catalog function was silently truncating at 1000 rows because of a Datasette row cap, which meant search had been operating on a fraction of what exists.

Read the full r-owidapi trajectory →

kde1d vs r-owidapi: editorial side-by-side

K
kde1d
ANALYTICS
0.0

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

◆ Current state

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

◆ Where it's heading

The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.

◆ Prediction

With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.

R
r-owidapi
ANALYTICS
2.5

The R client for Our World in Data found its search had been reading a tenth of the catalog.

◆ Current state

owidapi is a small R client for Our World in Data, covering chart data retrieval, metadata, the full chart catalog, and search over it, with experimental Shiny output helpers. It is three releases old and the most recent one is almost entirely repair: the catalog function was silently truncating at 1000 rows because of a Datasette row cap, which meant search had been operating on a fraction of what exists.

◆ Where it's heading

Development is about making a thin wrapper trustworthy against an upstream that moves without notice. The truncation fix pages through the catalog properly; a separate fix stops the function breaking when Our World in Data dropped a column, by parsing typed columns only when present. Tests moved to mocked responses, with a small live suite retained purely to detect schema drift and skipped on CRAN — a sensible design for a package whose main risk is that the API changes shape rather than that the code is wrong. The user-facing surface has not grown since the initial release; the work is in defending it.

◆ Prediction

On this pattern the next release is likelier to be another upstream-compatibility fix than new functionality, with the schema-drift tests the mechanism that surfaces it.

Alternatives to kde1d and r-owidapi

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 kde1d or r-owidapi.

See all kde1d alternatives → · See all r-owidapi alternatives →

Recent activity from kde1d and r-owidapi

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

  1. 20d agor-owidapiCatalog was silently capped at 1000 charts; now paged in full
  2. 1y agor-owidapiRequest logic consolidated, with graceful catalog errors
  3. 1y agokde1dkde1d 1.1.1
  4. 1y agor-owidapiFirst release: data, metadata, catalog and search
  5. 1y agokde1dZero-inflated mixtures and a new standalone C++ API
  6. 4y agokde1dBit-wise Boolean operations removed
  7. 5y agokde1ddkde1d() invisible output fixed
  8. 5y agokde1dValgrind false positive silenced
  9. 6y agokde1dqrng dependency dropped; undefined behaviour fixed

Frequently asked questions

What is the difference between kde1d and r-owidapi?

Both compete on the same themes — r-package — within Analytics. r-owidapi is currently shipping more aggressively (velocity 2.5 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 kde1d better than r-owidapi?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. r-owidapi is currently shipping more aggressively (velocity 2.5 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 kde1d?

Top kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.

What are the best alternatives to r-owidapi?

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