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fillpattern vs treasury

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

Shared themes:r-package

fillpattern vs treasury: at a glance

Featurefillpatterntreasury
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, accessibility, graphicstreasury-rates, fixed-income, r-package, api-wrapper
Last editorial update1h ago3h 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 treasury?

A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.

treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.

Read the full treasury trajectory →

fillpattern vs treasury: 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.

T
treasury
ANALYTICS
0.0

A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.

◆ Current state

treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.

◆ Where it's heading

Endpoint coverage looks essentially complete, so the work has moved to the metadata a downstream analyst needs to join and audit results — cusip and maturity_date on bill quotes, the feed's updated_at stamp, and the extrapolation factor behind 2002-2006 long-term rate estimates. Error handling is tightening in the same direction: an out-of-range month now fails with a message instead of quietly returning nothing. That is the profile of a wrapper moving from coverage to correctness, where the remaining bugs are the subtle ones that only surface in other people's locales.

◆ Prediction

Expect further column-level enrichment and input validation on the endpoints already covered rather than new data sources, since the structural pieces — data.table returns and caching — are already in place.

Alternatives to fillpattern and treasury

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 treasury.

See all fillpattern alternatives → · See all treasury alternatives →

Recent activity from fillpattern and treasury

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

  1. 1mo agotreasuryBill rates gain CUSIP and maturity date; locale bug fixed
  2. 4mo agotreasuryOptional response caching, one day by default
  3. 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
  4. 11mo agotreasuryRate functions renamed to singular for consistency
  5. 1y agotreasuryEvery function now returns a data.table
  6. 2y agotreasuryHQM, coupon-issue and breakeven inflation curves added
  7. 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
  8. 2y agofillpatternfillpattern 1.0.1

Frequently asked questions

What is the difference between fillpattern and treasury?

Both compete on the same themes — r-package — within Analytics. fillpattern and treasury 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 treasury?

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

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