← Back to home
Comparison · Analytics

refsplitr vs sparsevctrs

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

refsplitr vs sparsevctrs: at a glance

Featurerefsplitrsparsevctrs
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesbibliometrics, author-disambiguation, georeferencing, ropenscisparse-data, tidymodels, altrep, numerical-computing
Last editorial update2h ago47m ago
WebsiteVisit →Visit →

What is refsplitr?

Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.

refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.

Read the full refsplitr trajectory →

What is sparsevctrs?

Sparse vectors stopped being a storage trick and became something you can do arithmetic on

sparsevctrs supplies sparse vectors that live inside ordinary data frames and tibbles, which is what lets tidymodels carry wide, mostly-zero feature matrices without densifying them. Through 0.2.0 and 0.3.0 the package built out a computation layer on top of that storage — first summary statistics, then scalar and element-wise arithmetic — and everything since has been correctness work at the C level.

Read the full sparsevctrs trajectory →

refsplitr vs sparsevctrs: editorial side-by-side

R
refsplitr
ANALYTICS
5.0

Author disambiguation for bibliometrics, still grinding on the hard part: which names are the same person.

◆ Current state

refsplitr parses Web of Science reference records into tidy data and tries to resolve which author strings belong to the same researcher, then georeferences their institutional addresses for network and map visualizations. The active work is squarely on the disambiguation core: 1.2.3 continues refining the author grouping algorithm and 1.2.1 adjusted ORCID ID matching. Earlier, 1.2.0 replaced the address parsing algorithm and changed the default georeferencing option for author institutions.

◆ Where it's heading

Development has narrowed to the two operations that determine whether the output is usable — grouping author name variants and resolving addresses to coordinates. Everything else has been shedding: the maptools dependency was removed once that package was deprecated, and visualization changes are mostly about surfacing records the pipeline could not resolve, as with plot_net_country() returning fixable_countries so users can correct and rerun. Release notes are terse and defer to NEWS, so the changelog itself carries little detail.

◆ Prediction

Expect further incremental passes on author grouping and ORCID matching rather than new outputs; that algorithm is the package's accuracy ceiling and the last several releases have all touched it.

S
sparsevctrs
ANALYTICS
0.0

Sparse vectors stopped being a storage trick and became something you can do arithmetic on

◆ Current state

sparsevctrs supplies sparse vectors that live inside ordinary data frames and tibbles, which is what lets tidymodels carry wide, mostly-zero feature matrices without densifying them. Through 0.2.0 and 0.3.0 the package built out a computation layer on top of that storage — first summary statistics, then scalar and element-wise arithmetic — and everything since has been correctness work at the C level.

◆ Where it's heading

The release pattern splits cleanly at 0.3.0. Before it, new functions arrive in batches; after it, five consecutive releases are bug fixes, and the bugs are the kind that come with hand-written sparse kernels: a stack imbalance when sparse_multiplication() returns all zeros, undefined behaviour in multiplication, type errors in sparse_is_na(), coercion failures on NA input. That is the expected cost of an ALTREP-backed numerical layer, and the fixes are landing steadily.

◆ Prediction

With the arithmetic surface in place and the recent releases all narrow fixes, the next one is more likely another correctness patch than a new function family. The R devel fix in 0.3.5 suggests upcoming R releases are the current source of breakage.

Alternatives to refsplitr and sparsevctrs

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 refsplitr or sparsevctrs.

See all refsplitr alternatives → · See all sparsevctrs alternatives →

Recent activity from refsplitr and sparsevctrs

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

  1. 28d agorefsplitrFurther refinement of the author grouping algorithm
  2. 29d agorefsplitrMinor fixes and ORCID matching edits
  3. 8mo agosparsevctrsSparse character vector fix for R devel
  4. 1y agosparsevctrsStack imbalance in sparse multiplication fixed
  5. 1y agosparsevctrsSparse matrix coercion no longer errors on NA input
  6. 1y agorefsplitrNew address parsing algorithm, changed georeferencing default
  7. 1y agosparsevctrssparsity() fixed for classed numeric vectors
  8. 1y agosparsevctrsUndefined behaviour in sparse multiplication fixed
  9. 1y agosparsevctrsScalar and element-wise arithmetic for sparse vectors
  10. 2y agorefsplitrUnresolved countries surfaced, maptools dependency dropped
  11. 6y agorefsplitrrOpenSci release v0.9.0

Frequently asked questions

What is the difference between refsplitr and sparsevctrs?

They serve adjacent needs but don't currently overlap on shipped themes. refsplitr is currently shipping more aggressively (velocity 5.0 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 refsplitr better than sparsevctrs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. refsplitr is currently shipping more aggressively (velocity 5.0 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 refsplitr?

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

What are the best alternatives to sparsevctrs?

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