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Comparison · Analytics

Deequ vs Plausible

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

Deequ vs Plausible: at a glance

FeatureDeequPlausible
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesdata-quality, spark, dqdl, jvm-libraryweb-analytics, privacy-first, ai-traffic, funnels
Last editorial update13h ago28d ago
WebsiteVisit →Visit →

What is Deequ?

Deequ ships GitHub tags whose release notes are one commit message long

Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.

Read the full Deequ trajectory →

What is Plausible?

Plausible keeps its minimalist dashboard but quietly grows teeth for path and AI-traffic analysis

Plausible remains the privacy-first, lightweight alternative to heavyweight web analytics, but its recent releases show it filling in the analytical depth it once deliberately lacked. Funnels, user journeys, full-URL breakdowns and chart annotations have all landed in the last few months without cluttering the core dashboard. The product is proving you can add behavioral analysis without becoming Google Analytics.

Read the full Plausible trajectory →

Deequ vs Plausible: editorial side-by-side

D
Deequ
ANALYTICS
0.0

Deequ ships GitHub tags whose release notes are one commit message long

◆ Current state

Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.

◆ Where it's heading

The visible work points in one direction — making check results programmatically consumable rather than just readable. A typed outcome API and a rule language binding are what you build when Deequ is being called from a pipeline that reacts to the result, not from a notebook where a human reads it. The column-pruning override added alongside the Range analyzer suggests the same attention on the cost side, keeping analyzers from scanning columns they do not reference.

◆ Prediction

The entries are too thin to support a confident read of what comes next; the only clear pattern is that each change will ship separately against Spark 3.5 and Spark 4.0, so the version skew between those branches will keep widening.

Plausible logo
Plausible
ANALYTICS
5.0

Plausible keeps its minimalist dashboard but quietly grows teeth for path and AI-traffic analysis

◆ Current state

Plausible remains the privacy-first, lightweight alternative to heavyweight web analytics, but its recent releases show it filling in the analytical depth it once deliberately lacked. Funnels, user journeys, full-URL breakdowns and chart annotations have all landed in the last few months without cluttering the core dashboard. The product is proving you can add behavioral analysis without becoming Google Analytics.

◆ Where it's heading

The arc is clear: Plausible is moving from single-number dashboards toward path- and behavior-level analysis, while treating AI assistants as a distinct, named traffic source. Each release is additive and self-contained, which fits its no-bloat positioning. The bet is that privacy-conscious teams still want funnels and journeys, just presented simply.

◆ Prediction

Expect Plausible to keep deepening the AI Assistants channel breakdown and to extend journey/funnel analysis with more segmentation, since those are the two threads it has pulled hardest on recently.

Alternatives to Deequ and Plausible

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 Deequ or Plausible.

See all Deequ alternatives → · See all Plausible alternatives →

Recent activity from Deequ and Plausible

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

  1. 29d agoPlausibleAdd notes to your traffic chart with annotations
  2. 1mo agoPlausibleSee full URLs in Page reports
  3. 2mo agoPlausibleNew AI Assistants channel
  4. 2mo agoPlausibleUser journeys is here!
  5. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  6. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  7. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  8. 4mo agoPlausibleStrict order funnels for precise path analysis
  9. 4mo agoPlausibleYou can now make your funnels strict.
  10. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump

Frequently asked questions

What is the difference between Deequ and Plausible?

They serve adjacent needs but don't currently overlap on shipped themes. Plausible 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 Deequ better than Plausible?

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

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

What are the best alternatives to Plausible?

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