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fillpattern vs hoopr

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

fillpattern vs hoopr: at a glance

Featurefillpatternhoopr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, accessibility, graphicssports-data, basketball, api-client, httr2
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is fillpattern?

Pattern fills for ggplot2, hardened against the ways users write sizes

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

Read the full fillpattern trajectory →

What is hoopr?

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

Read the full hoopr trajectory →

fillpattern vs hoopr: editorial side-by-side

F
fillpattern
ANALYTICS
0.0

Pattern fills for ggplot2, hardened against the ways users write sizes

◆ Current state

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

◆ Where it's heading

Development is slow and entirely reactive to how the string-based size interface fails. The pattern across releases is the same: a user hits an edge — very small fill areas in 1.0.2, malformed unit strings in 1.0.3 — and the fix is either a graceful fallback or a clearer error. Leaning on R's newer graphics engine rather than reimplementing pattern rendering keeps the package small at the cost of raising its version floor.

◆ Prediction

Expect further releases to stay in the same register: parsing and validation fixes for the size and unit interface, with the pattern set itself unlikely to change.

H
hoopr
ANALYTICS
0.0

hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems

◆ Current state

hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.

◆ Where it's heading

The package's history is two distinct eras. Through 2021-2023 it grew by endpoint accretion — ESPN stat functions, G-League coverage, the NBA live and boxscore V3 families, on-court players in play-by-play — expanding what could be pulled. The recent work is consolidation instead: one HTTP pipeline, one messaging library, data served from the shared sportsdataverse-data releases rather than per-package repositories. The centre of gravity has moved from adding endpoints to making the plumbing survive its dependencies.

◆ Prediction

With the HTTP layer unified behind shared helpers, expect the sibling sportsdataverse packages to follow the same httr2 migration, and hoopR's own next releases to resume endpoint work now that requests run through one pipeline.

Alternatives to fillpattern and hoopr

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 fillpattern or hoopr.

See all fillpattern alternatives → · See all hoopr alternatives →

Recent activity from fillpattern and hoopr

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

  1. 4mo agohooprhoopR 3.0.0 moves every API backend to httr2
  2. 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
  3. 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
  4. 2y agofillpatternfillpattern 1.0.1
  5. 2y agohooprData loaders repoint to sportsdataverse-data; NBA live endpoints
  6. 4y agohooprESPN stat functions and G-League coverage added
  7. 4y agohooprCRAN release with documented return shapes
  8. 4y agohooprhoopR 1.4.4
  9. 4y agohooprhoopR 1.4.3

Frequently asked questions

What is the difference between fillpattern and hoopr?

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

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

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

What are the best alternatives to hoopr?

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