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Deequ vs OR-Tools

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

Deequ vs OR-Tools: at a glance

FeatureDeequOR-Tools
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, spark, dqdl, jvm-libraryconstraint-programming, optimization, cp-sat, routing
Last editorial update2h ago3h 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 OR-Tools?

Google's solver suite where nearly every release note is really about CP-SAT.

OR-Tools bundles constraint programming, linear solvers, routing, and graph algorithms, but the release notes make the priority obvious: CP-SAT gets the most substantive changes in every version, particularly its no_overlap_2d propagation, presolve, and cut management. Around that core, the work is platform and dependency maintenance — new Linux distro support, Python and Java version cycling, and bumping the bundled Coin-OR, HiGHS, SCIP, and abseil versions. Note that these entries carry batch-stamped crawl dates; the newest actual release here is v9.12 from early 2025.

Read the full OR-Tools trajectory →

Deequ vs OR-Tools: 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.

O
OR-Tools
ANALYTICS
0.0

Google's solver suite where nearly every release note is really about CP-SAT.

◆ Current state

OR-Tools bundles constraint programming, linear solvers, routing, and graph algorithms, but the release notes make the priority obvious: CP-SAT gets the most substantive changes in every version, particularly its no_overlap_2d propagation, presolve, and cut management. Around that core, the work is platform and dependency maintenance — new Linux distro support, Python and Java version cycling, and bumping the bundled Coin-OR, HiGHS, SCIP, and abseil versions. Note that these entries carry batch-stamped crawl dates; the newest actual release here is v9.12 from early 2025.

◆ Where it's heading

The suite is consolidating on fewer, better-maintained components: old graph classes were removed outright, MathOpt got a deep rework and shipped in the Python wheel, and the Python API was rewritten to PEP 8 naming. Build-level changes point the same direction — dependencies split into separate shared libraries, Windows output moved to DLLs.

◆ Prediction

CP-SAT scheduling and 2D packing propagation should keep absorbing the bulk of the effort; the entries show no other component receiving comparable sustained investment.

Alternatives to Deequ and OR-Tools

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 OR-Tools.

See all Deequ alternatives → · See all OR-Tools alternatives →

Recent activity from Deequ and OR-Tools

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

  1. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  2. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  3. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  4. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
  5. 1y agoOR-ToolsDependencies split into shared libraries, Python 3.13 support, CP-SAT hint preservation
  6. 1y agoOR-ToolsAlmaLinux and Rocky Linux 9 support, experimental set_cover Python binding
  7. 1y agoOR-ToolsCP-SAT core search and presolve improvements, absl::Span migration
  8. 1y agoOR-ToolsPython API rewritten to PEP 8 naming; MathOpt ships in the Python wheel
  9. 1y agoOR-ToolsModelBuilder gains indicator constraints and hinting; MathOpt deep rework
  10. 3y agoOR-ToolsGraph library reworked, pandas support in the Python model builder

Frequently asked questions

What is the difference between Deequ and OR-Tools?

They serve adjacent needs but don't currently overlap on shipped themes. Deequ and OR-Tools 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 Deequ better than OR-Tools?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deequ and OR-Tools 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 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 OR-Tools?

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