← Back to home
Comparison · Analytics

Holistics vs hubPredEvalsData

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

Shared themes:dashboards

Holistics vs hubPredEvalsData: at a glance

FeatureHolisticshubPredEvalsData
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesbusiness-intelligence, ai-governance, analytics-as-code, access-controlforecast-evaluation, hubverse, configuration, dashboards
Last editorial update1d ago2d ago
WebsiteVisit →Visit →

What is Holistics?

Holistics is adding governance to the AI layer it spent the summer building.

Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.

Read the full Holistics trajectory →

What is hubPredEvalsData?

The pipeline turning hub forecasts into dashboard-ready evaluation data.

hubPredEvalsData generates the scored evaluation data that hubverse prediction dashboards read, driven by a predevals-config.yml and scoring through hubEvals underneath. It is the youngest package in this part of the stack and the fastest-moving in configuration terms, having already passed a breaking 1.0.0 and a schema-versioned feature addition. Its output contract is a scores.csv file consumed downstream, which shapes what its releases care about.

Read the full hubPredEvalsData trajectory →

Holistics vs hubPredEvalsData: editorial side-by-side

Holistics logo
Holistics
ANALYTICS
5.0

Holistics is adding governance to the AI layer it spent the summer building.

◆ Current state

Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.

◆ Where it's heading

The AI work has moved through a recognizable sequence: capability first with chart suggestions, then observability with AI Chat Insights for admins, and now access control with an AI-specific user attribute. Alongside it, Holistics keeps pulling presentation into AML - custom charts, theme palettes, currency formats - so the things analysts used to click are versioned as code. File history is the join between the two threads, giving every dashboard, model, and dataset its own restorable timeline.

◆ Prediction

With capability, visibility, and access control now in place for the AI layer, the next step is likely audit or policy depth - logging what the assistant answered against which data - rather than new AI surfaces.

H0.0

The pipeline turning hub forecasts into dashboard-ready evaluation data.

◆ Current state

hubPredEvalsData generates the scored evaluation data that hubverse prediction dashboards read, driven by a predevals-config.yml and scoring through hubEvals underneath. It is the youngest package in this part of the stack and the fastest-moving in configuration terms, having already passed a breaking 1.0.0 and a schema-versioned feature addition. Its output contract is a scores.csv file consumed downstream, which shapes what its releases care about.

◆ Where it's heading

Each release widens what the config file can express — round selection, then scale transformations with per-target overrides, then target labelling pulled from the hub's own task metadata. The pattern is consistent: capability that already exists in hubEvals gets a declarative surface here so hub maintainers configure it rather than write code. Recent attention to byte-stable output ordering shows the file is being treated as a reproducible artifact, not just a report.

◆ Prediction

Expect the config schema to keep absorbing hubEvals capabilities as declarative options, with continued attention to making scores.csv reproducible and diffable between runs.

Alternatives to Holistics and hubPredEvalsData

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 Holistics or hubPredEvalsData.

See all Holistics alternatives → · See all hubPredEvalsData alternatives →

Recent activity from Holistics and hubPredEvalsData

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

  1. 2d agoHolisticsAI user attribute restricts AI access to sensitive data
  2. 16d agoHolisticsCustom currency and unit formats, per field
  3. 19d agoHolisticsFile history: per-file version timeline and restore
  4. 22d agoHolisticsCustom charts become AML code with GUI authoring
  5. 23d agoHolisticsColor palettes can be assigned at the theme level
  6. 27d agoHolisticsDate-range presets and typed shorthands
  7. 1mo agohubPredEvalsDataTarget names pulled from hub metadata; scores.csv made byte-stable
  8. 2mo agohubPredEvalsDataVersioned target data with an as_of column no longer fails scoring
  9. 2mo agohubPredEvalsDataScale transformations become configurable per target
  10. 4mo agohubPredEvalsDataMulti-round hub support via a required rounds_idx property (breaking)

Frequently asked questions

What is the difference between Holistics and hubPredEvalsData?

Both compete on the same themes — dashboards — within Analytics. Holistics 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 Holistics better than hubPredEvalsData?

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

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

What are the best alternatives to hubPredEvalsData?

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