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Comparison · Analytics

edibble vs hubVis

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

Shared themes:r-package

edibble vs hubVis: at a glance

FeatureedibblehubVis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexperimental-design, grammar-of-design, reproducibility, simulationforecast-visualization, hubverse, r-package, ggplot2
Last editorial update30m ago43m ago
WebsiteVisit →Visit →

What is edibble?

A grammar for experimental design that learned to compose designs and track its own provenance.

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

Read the full edibble trajectory →

What is hubVis?

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

Read the full hubVis trajectory →

edibble vs hubVis: editorial side-by-side

E
edibble
ANALYTICS
0.0

A grammar for experimental design that learned to compose designs and track its own provenance.

◆ Current state

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

◆ Where it's heading

Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.

◆ Prediction

Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.

H
hubVis
ANALYTICS
0.0

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

◆ Current state

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

◆ Where it's heading

The pattern across all four releases is narrow and reactive: a legend construction fix, a palette assignment fix, and most recently a compatibility change for ggplot2 4.0.0 written to keep working with earlier versions too. Two of the three fixes concern colour and legend handling, which suggests palette assignment is the fragile part of the codebase. As a thin layer over ggplot2 inside a larger stack, the package's release triggers come from below it rather than from its own roadmap.

◆ Prediction

Expect continued single-issue patches driven by upstream ggplot2 changes and by whatever the sibling hubverse packages emit, rather than new plot types.

Alternatives to edibble and hubVis

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 edibble or hubVis.

See all edibble alternatives → · See all hubVis alternatives →

Recent activity from edibble and hubVis

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

  1. 11mo agohubVisCompatibility fix for ggplot2 4.0.0
  2. 1y agohubVisPalette creation fixed for colour parameters
  3. 1y agoedibbleBetter handling of designs built from existing data
  4. 1y agohubVisLegend built after plot so all traces appear
  5. 1y agohubVisStable release brings group parameter to interactive plots
  6. 2y agoedibbleedibble 1.1.0
  7. 2y agoedibbleInternals rebuilt on a command-tracking Provenance object
  8. 3y agoedibbleS3 consistency and citation modernised
  9. 3y agoedibbleRd files fixed for HTML5 compatibility
  10. 4y agoedibbleInitial release

Frequently asked questions

What is the difference between edibble and hubVis?

Both compete on the same themes — r-package — within Analytics. edibble and hubVis 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 edibble better than hubVis?

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

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

What are the best alternatives to hubVis?

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