gcube
gcube's recent releases are all packaging metadata, not simulation code
Comparison · Analytics
antareseditobject vs fillpattern
A side-by-side editorial comparison of antareseditobject and fillpattern — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
antareseditobject vs fillpattern: at a glance
What is antareseditobject?
The write half of the Antares R toolchain, hitting 1.0 by tracking the simulator rather than stabilizing
antaresEditObject is the counterpart to antaresRead: it creates, edits and deletes Antares Simulator studies on disk or through the Antares Web API. Releases 0.9.0 through 0.9.3 each absorbed a simulator version — new short-term storage properties, dynamic cluster groups, changed time series dimensions, removed settings. Version 1.0.0 arrived in February 2026 carrying district endpoints and a dependency cut on antaresRead, and 1.0.1 followed with performance work on zip handling and job polling.
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.
antareseditobject vs fillpattern: editorial side-by-side
antareseditobject
0.0ANALYTICS
The write half of the Antares R toolchain, hitting 1.0 by tracking the simulator rather than stabilizing
◆ Current state
antaresEditObject is the counterpart to antaresRead: it creates, edits and deletes Antares Simulator studies on disk or through the Antares Web API. Releases 0.9.0 through 0.9.3 each absorbed a simulator version — new short-term storage properties, dynamic cluster groups, changed time series dimensions, removed settings. Version 1.0.0 arrived in February 2026 carrying district endpoints and a dependency cut on antaresRead, and 1.0.1 followed with performance work on zip handling and job polling.
◆ Where it's heading
Two things separate this package from its read-only sibling. It is actively reducing coupling — 1.0.0 removed the binding-constraint dependency on antaresRead, and createBindingConstraintBulk() now reads study links and clusters once instead of repeatedly. And it is tuning for Antares Web as a remote service rather than a local file format: polling job status every 300 seconds instead of every second is a concession to a shared server, not a local workflow.
◆ Prediction
Expect continued alignment with each Antares Simulator release, with further API-mode optimizations as remote study editing rather than disk editing becomes the primary path.
fillpattern
0.0ANALYTICS
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.
Alternatives to antareseditobject and fillpattern
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 antareseditobject or fillpattern.
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
rollama
rollama turns a local-LLM wrapper into an instrument for reproducible annotation
See all antareseditobject alternatives → · See all fillpattern alternatives →
Recent activity from antareseditobject and fillpattern
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoantareseditobjectFaster zip handling and 300s job polling for Antares Web
- 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
- 6mo agoantareseditobject1.0.0 adds district editing and drops the antaresRead dependency
- 8mo agoantareseditobjectAntares 9.3 support: dynamic cluster groups and new storage properties
- 10mo agoantareseditobjectAntares 9.2 support: new shedding policy and storage penalties
- 1y agoantareseditobjectAntares v9 study format plus binding-constraint fixes
- 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
- 2y agofillpatternfillpattern 1.0.1
Frequently asked questions
What is the difference between antareseditobject and fillpattern?
Both compete on the same themes — r-package — within Analytics. antareseditobject and fillpattern 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 antareseditobject better than fillpattern?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. antareseditobject and fillpattern 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 antareseditobject?
Top antareseditobject alternatives in Analytics are ranked by recent ship velocity. Browse the "antareseditobject alternatives" section above for the current picks, or visit /alternatives/antareseditobject for the full list with editorial commentary on each.
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.