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Comparison · Analytics

Datawrapper vs OpenHouse

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

Datawrapper vs OpenHouse: at a glance

FeatureDatawrapperOpenHouse
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesdata-visualization, charting, publishing, newsroom-toolsdata lakehouse, iceberg, table catalog, views
Last editorial update1mo ago1d ago
WebsiteVisit →Visit →

What is Datawrapper?

Datawrapper ships frequent targeted fixes with pattern fills added to range highlights as the only new capability in recent weeks.

Datawrapper's changelog reflects a maintenance-heavy cadence: most recent releases are single-line bug fixes addressing rendering issues in SVG export, map projections, and the PowerPoint add-in. The August 12 addition of pattern support for range highlights is the only new capability in the visible window.

Read the full Datawrapper trajectory →

What is OpenHouse?

OpenHouse locks down its column-defaults capability flag as default values near completion.

OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.

Read the full OpenHouse trajectory →

Datawrapper vs OpenHouse: editorial side-by-side

D
Datawrapper
ANALYTICS
5.0

Datawrapper ships frequent targeted fixes with pattern fills added to range highlights as the only new capability in recent weeks.

◆ Current state

Datawrapper's changelog reflects a maintenance-heavy cadence: most recent releases are single-line bug fixes addressing rendering issues in SVG export, map projections, and the PowerPoint add-in. The August 12 addition of pattern support for range highlights is the only new capability in the visible window.

◆ Where it's heading

The fix-heavy cadence suggests the team is stabilizing existing chart types rather than adding new ones. The PowerPoint add-in and SVG export are receiving polish, indicating enterprise distribution workflows are a current focus. Pattern fills for range highlights are a subtle signal toward richer chart annotation tooling.

◆ Prediction

Datawrapper will continue incremental fixes across its chart library with occasional feature additions; the pattern support for range highlights suggests annotation and visual emphasis tooling is the current design priority, likely extending to other chart types.

O
OpenHouse
ANALYTICS
5.0

OpenHouse locks down its column-defaults capability flag as default values near completion.

◆ Current state

OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.

◆ Where it's heading

LinkedIn's table catalog is moving business rules into the commit itself, so defaults, property rules and commit policies all reject the same way with clear 400s. Views and column default values are being built in parallel, and both are now past plumbing into user-facing guards. The team favors small, reversible steps.

◆ Prediction

Expect column default values and the Views client API to become usable end to end within the next few builds, with more PreCommitCheck rules registered by the tables service.

Alternatives to Datawrapper and OpenHouse

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 Datawrapper or OpenHouse.

See all Datawrapper alternatives → · See all OpenHouse alternatives →

Recent activity from Datawrapper and OpenHouse

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

  1. 1d agoOpenHousev0.5.543: Add integration tests for snapshot expiration with refs (#492)
  2. 1d agoOpenHousev0.5.542: column-default checks enforced in doCommit
  3. 1d agoOpenHousev0.5.541: [default values] Gate tables on capabilities the client declares (#848)
  4. 2d agoOpenHousev0.5.540: Spark integration test for column initial defaults
  5. 3d agoOpenHousev0.5.539: column-defaults capability property made immutable
  6. 4d agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
  7. 1mo agoDatawrapperPowerPoint add-in: settings input display fix
  8. 2mo agoDatawrapperSVG export: remove duplicate text layer behind stroked labels
  9. 2mo agoDatawrapperLocator maps: fix duplicate area marker geometry in globe projection
  10. 2mo agoDatawrapperRange highlights now support fill patterns
  11. 2mo agoDatawrapperLine chart color picker fix for single-line custom colors
  12. 2mo agoDatawrapperMap data table: region picker fills cell on selection

Frequently asked questions

What is the difference between Datawrapper and OpenHouse?

They serve adjacent needs but don't currently overlap on shipped themes. Datawrapper and OpenHouse are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 Datawrapper better than OpenHouse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Datawrapper and OpenHouse are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 Datawrapper?

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

What are the best alternatives to OpenHouse?

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