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r-owidapi alternatives

The best r-owidapi alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 17, 2026

Looking for the best alternatives to r-owidapi? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, r-owidapi shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About 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.

Velocity 2.5 · Last update 47m ago

Read the full r-owidapi trajectory →

Top 12 alternatives to r-owidapi

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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r-owidapi vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
r-owidapi (baseline)2.50open-dataour-world-in-datar-package
glmbayes6.31bayesian-statisticsgeneralized-linear-modelsopenclOpenCL split out to nmathopencl; insight and bayestestR integration
lstar5.00single-cell-genomicszarrwasmlstar 0.2.0
trendseries3.81time-serieseconometricsr-packageDecomposition becomes a first-class operation, five methods deep
qtl22.50qtl-mappingstatistical-geneticsbioinformaticsA genome scan that takes your own likelihood function
quanteda2.50text-analysisnatural-language-processingr-packageCRAN v4.0
moderndive2.50statistics-educationwebrregression
PurpleAir0.00air-qualitysensor-datar-package
piecepackr0.00board-gamesgraphicsr-package
e2tree0.00explainable-aiensemble-methodsdecision-treesA significance-tested measure of explanation fidelity
discretefdr0.00multiple-testingfalse-discovery-ratediscrete-statistics
contentanalysis0.00text-analysisbibliometricsscientific-writingSentence-level rhetorical move classification arrives
relialearnr0.00reliability-engineeringr-packageeducation

The 12 best r-owidapi alternatives, in depth

1. glmbayes · velocity 6.3

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain.

Over the last 30 days glmbayes shipped 1 meaningful update vs r-owidapi's 0, most recently “OpenCL split out to nmathopencl; insight and bayestestR integration”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, glmbayes focuses on bayesian statistics, generalized linear models and opencl.

Over the last 30 days glmbayes has been shipping faster than r-owidapi — a point in its favour if release momentum matters to you.

2. lstar · velocity 5.0

A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.

Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “lstar 0.2.0”.

Where r-owidapi leans on open data, our world in data and r package, lstar focuses on single cell genomics, zarr and wasm.

lstar and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. trendseries · velocity 3.8

A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.

Over the last 30 days trendseries shipped 1 meaningful update vs r-owidapi's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, trendseries focuses on time series, econometrics and r package.

Over the last 30 days trendseries has been shipping faster than r-owidapi — a point in its favour if release momentum matters to you.

4. qtl2 · velocity 2.5

The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.

Where r-owidapi leans on open data, our world in data and r package, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.

qtl2 and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. quanteda · velocity 2.5

Text analysis in R keeps optimising its token internals — and builds a path out to torch.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “CRAN v4.0”.

Where r-owidapi leans on open data, our world in data and r package, quanteda focuses on text analysis, natural language processing and r package.

quanteda and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. moderndive · velocity 2.5

The ModernDive teaching package learns to render inside the browser that runs its own textbook.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, moderndive focuses on statistics education, webr and regression.

moderndive and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. PurpleAir · velocity 0.0

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

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, PurpleAir focuses on air quality, sensor data and r package.

PurpleAir and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. piecepackr · velocity 0.0

A board game graphics package runs one of the most disciplined deprecation cycles in R.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, piecepackr focuses on board games, graphics and r package.

piecepackr and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. e2tree · velocity 0.0

The explainable-ensemble-tree package now measures whether its own explanations are faithful.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “A significance-tested measure of explanation fidelity”.

Where r-owidapi leans on open data, our world in data and r package, e2tree focuses on explainable ai, ensemble methods and decision trees.

e2tree and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. discretefdr · velocity 0.0

The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, discretefdr focuses on multiple testing, false discovery rate and discrete statistics.

discretefdr and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. contentanalysis · velocity 0.0

A scientific-text analysis package moved from counting citations to classifying argument structure.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sentence-level rhetorical move classification arrives”.

Where r-owidapi leans on open data, our world in data and r package, contentanalysis focuses on text analysis, bibliometrics and scientific writing.

contentanalysis and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. relialearnr · velocity 0.0

The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where r-owidapi leans on open data, our world in data and r package, relialearnr focuses on reliability engineering, r package and education.

relialearnr and r-owidapi have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to r-owidapi?

The top r-owidapi alternatives we currently track in analytics tools are glmbayes, lstar, trendseries, qtl2, quanteda, ranked by recent ship velocity.

How is this list of r-owidapi alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare r-owidapi directly with one of these alternatives?

Yes — every card has a "Compare with r-owidapi" link to a side-by-side /compare page.