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Comparison · Infra & APIs
testdat vs tidyaudit
A side-by-side editorial comparison of testdat and tidyaudit — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:data-validationdata-quality
testdat vs tidyaudit: at a glance
What is testdat?
Unit testing for datasets, built on testthat and now bending to its next release.
testdat applies the testthat idiom to data rather than code: expectations that assert properties of a data frame, run as a suite, with results exportable to Excel. Recent releases have been about correctness and upstream compatibility. Expectations are now constructed via new_expectation() ahead of testthat 3.3.0, and expect_base() errors on a missing variable instead of silently passing.
What is tidyaudit?
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.
testdat vs tidyaudit: editorial side-by-side
testdat
0.0INFRA · APIS
Unit testing for datasets, built on testthat and now bending to its next release.
◆ Current state
testdat applies the testthat idiom to data rather than code: expectations that assert properties of a data frame, run as a suite, with results exportable to Excel. Recent releases have been about correctness and upstream compatibility. Expectations are now constructed via new_expectation() ahead of testthat 3.3.0, and expect_base() errors on a missing variable instead of silently passing.
◆ Where it's heading
The package reached its shape early and has spent the years since sanding it. The design decisions worth noting are all in the past: the move to tidyselect at 0.3.0, the test data pipe at 0.4.0, and the failure messages at 0.4.1 that name which variable failed rather than just reporting a count. Since then activity is sparse and reactive, tracking testthat and R-devel. The two 0.4.3 and 0.4.4 tags arriving ninety minutes apart on the same day is the signature of a release caught by an upstream deadline.
◆ Prediction
The immediate work is finishing the testthat 3.3.0 adaptation. Beyond that the notes give no evidence of new expectation families; the package looks maintained rather than developed.
tidyaudit
0.0INFRA · APIS
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
◆ Current state
tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.
◆ Where it's heading
The arc is from inspection to artifact. The first release made the trail something you print and read; 0.2.0 made it something you can hand to someone else or feed to another program, with the HTML export deliberately requiring no server and no Shiny. Reporting has been refined in the same direction, with a tabular changes block showing from-and-to values with row, column, and NA deltas. The remaining work in the window is defensive — a factor-handling path rebuilt because R-devel tightened what as.data.frame.table() accepts in row names.
◆ Prediction
With serialization and a standalone export in place, the natural next step is making trails comparable across runs rather than only across steps within one, though nothing in the entries commits to it yet.
Alternatives to testdat and tidyaudit
Other Infra & APIs 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 testdat or tidyaudit.
Okta
Okta's developer blog is a Cross App Access campaign, now diluted by advocacy-team storytelling.
tealeaves
A leaf-temperature model that finished its job in 2020 and has stayed finished
Infisical
A credential platform assembled two or three pull requests at a time, never a headline
SigNoz
Search without knowing the field — SigNoz keeps lowering the cost of not knowing your schema
nmfspalette
A NOAA Fisheries colour palette that ships when the branding guide changes
See all testdat alternatives → · See all tidyaudit alternatives →
Recent activity from testdat and tidyaudit
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agotidyauditFactor auditing fixed against a stricter R-devel
- 4mo agotidyauditTrails export to standalone HTML and machine-readable formats
- 5mo agotidyauditFirst release: pipeline audit trails for tidyverse ⚡
- 9mo agotestdatExpectations rebuilt on new_expectation() for testthat 3.3.0
- 9mo agotestdatexpect_base() errors on a missing variable instead of passing
- 2y agotestdatGrouped data frames ungrouped before testing
- 3y agotestdatFailure messages name the failing variable; expect_depends() added
- 4y agotestdatTest data pipe lets expectations sit inline in a chain
- 4y agotestdatCRAN release moves variable selection to tidyselect ⚡
Frequently asked questions
What is the difference between testdat and tidyaudit?
Both compete on the same themes — data-validation, data-quality — within Infra & APIs. testdat and tidyaudit 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 testdat better than tidyaudit?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. testdat and tidyaudit 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to testdat?
Top testdat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "testdat alternatives" section above for the current picks, or visit /alternatives/testdat for the full list with editorial commentary on each.
What are the best alternatives to tidyaudit?
Top tidyaudit alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyaudit alternatives" section above for the current picks, or visit /alternatives/tidyaudit for the full list with editorial commentary on each.