← Back to home
Comparison · Infra & APIs

testdat vs volcalc

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

testdat vs volcalc: at a glance

Featuretestdatvolcalc
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-validation, unit-testing, testthat, tidyselectcheminformatics, volatility, simpol, smiles
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

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.

Read the full testdat trajectory →

What is volcalc?

Rebuilt itself around SMILES and .mol input, then made the chemistry configurable

volcalc estimates the volatility of chemical compounds from their structure, implementing the SIMPOL.1 group-contribution method and the Meredith et al. variant. Version 2.0.0 severed the package from KEGG: calc_vol() takes .mol file paths or SMILES strings directly, is vectorized over multiple compounds, and the group-contribution maths was split into its own simpol1() function. Work since has been chemistry accuracy and configurability — the full set of SIMPOL.1 functional groups, volatility thresholds for clean atmosphere, polluted atmosphere or soil, user-supplied temperature, and a validate option returning NA when structure parsing looks suspect.

Read the full volcalc trajectory →

testdat vs volcalc: editorial side-by-side

T
testdat
INFRA · APIS
0.0

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.

V
volcalc
INFRA · APIS
0.0

Rebuilt itself around SMILES and .mol input, then made the chemistry configurable

◆ Current state

volcalc estimates the volatility of chemical compounds from their structure, implementing the SIMPOL.1 group-contribution method and the Meredith et al. variant. Version 2.0.0 severed the package from KEGG: calc_vol() takes .mol file paths or SMILES strings directly, is vectorized over multiple compounds, and the group-contribution maths was split into its own simpol1() function. Work since has been chemistry accuracy and configurability — the full set of SIMPOL.1 functional groups, volatility thresholds for clean atmosphere, polluted atmosphere or soil, user-supplied temperature, and a validate option returning NA when structure parsing looks suspect.

◆ Where it's heading

The arc runs from a script tied to one database toward a general structure-to-volatility tool. Dropping KEGG from the core in 2.0.0, then removing KEGGREST as a dependency entirely in 2.2.0, took the package from volatility for KEGG compounds to volatility for any structure a user can supply. The accompanying manuscript published in 2023, and the changelog since has been careful about coefficient double-counting — amines and amides have each been corrected — which suggests the group definitions are the part under active scrutiny.

◆ Prediction

The smarts_simpol1 dataset added in 2.2.0 documents how functional groups are defined, pointing toward further estimation methods alongside SIMPOL.1 and Meredith; splitting simpol1() out in 2.0.0 was stated to be groundwork for exactly that.

Alternatives to testdat and volcalc

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 volcalc.

See all testdat alternatives → · See all volcalc alternatives →

Recent activity from testdat and volcalc

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

  1. 9mo agotestdatExpectations rebuilt on new_expectation() for testthat 3.3.0
  2. 9mo agotestdatexpect_base() errors on a missing variable instead of passing
  3. 1y agovolcalcParsing validation, user-supplied temperature, KEGGREST dropped
  4. 2y agovolcalcAuthorship and citation updates
  5. 2y agovolcalcSMILES input, environment-specific thresholds, missing functional groups
  6. 2y agovolcalcRebuilt around .mol and SMILES input; SIMPOL.1 split into simpol1()
  7. 2y agotestdatGrouped data frames ungrouped before testing
  8. 3y agovolcalcAmines group removed to stop double-counting with primary amines
  9. 3y agovolcalcbug fix: standard temperature
  10. 3y agotestdatFailure messages name the failing variable; expect_depends() added
  11. 4y agotestdatTest data pipe lets expectations sit inline in a chain
  12. 4y agotestdatCRAN release moves variable selection to tidyselect

Frequently asked questions

What is the difference between testdat and volcalc?

They serve adjacent needs but don't currently overlap on shipped themes. testdat and volcalc 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 volcalc?

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

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