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Comparison · Infra & APIs

ddml vs Verdaccio

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

ddml vs Verdaccio: at a glance

FeatureddmlVerdaccio
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themescausal-inference, machine-learning, econometrics, stackingnpm-registry, prereleases, dependency-consolidation, toolchain
Last editorial update8h ago48m ago
WebsiteVisit →Visit →

What is ddml?

Double machine learning in R keeps adding estimands and the inference to go with them.

ddml implements double and debiased machine learning estimators, with a stacking layer so the nuisance functions can be fit by an ensemble rather than a single learner. The estimand list has grown from partially linear models to average treatment effects, treatment effects on the treated, and local average treatment effects, and 0.3.0 added one-way clustered inference. The most recent release is maintenance: xgboost syntax, glmnet binomial predictions, weights in the flexible partially linear IV estimator.

Read the full ddml trajectory →

What is Verdaccio?

Verdaccio's 7.0 line is subtraction — forks dropped, toolchain swapped, tags mostly empty

The next-7 prerelease line is short and almost entirely maintenance. Its one substantive release adopted @verdaccio/server and deleted the local api, web, and storage forks, leaving a thin Storage wrapper behind only to keep callback-based storage plugins working. Everything since has been dependency retargeting, a lint and format toolchain swap, and a tag whose body reads 'chore: trigger release'.

Read the full Verdaccio trajectory →

ddml vs Verdaccio: editorial side-by-side

D
ddml
INFRA · APIS
0.0

Double machine learning in R keeps adding estimands and the inference to go with them.

◆ Current state

ddml implements double and debiased machine learning estimators, with a stacking layer so the nuisance functions can be fit by an ensemble rather than a single learner. The estimand list has grown from partially linear models to average treatment effects, treatment effects on the treated, and local average treatment effects, and 0.3.0 added one-way clustered inference. The most recent release is maintenance: xgboost syntax, glmnet binomial predictions, weights in the flexible partially linear IV estimator.

◆ Where it's heading

Two lines of work run in parallel. One extends what can be estimated, the other makes the estimates trustworthy under real data conditions, and the second is where the recent effort has gone: clustered standard errors, propensity score trimming, higher default fold counts, corrected ATE and LATE scores. Raising sample_folds and cv_folds to ten is a small change with a clear intent, trading compute for stability.

◆ Prediction

Clustered inference arrived one-way; two-way and multi-way clustering are the obvious continuation. The stacking layer is also accumulating edge-case handling, so expect more work on degenerate ensemble weights.

V
Verdaccio
INFRA · APIS
2.5

Verdaccio's 7.0 line is subtraction — forks dropped, toolchain swapped, tags mostly empty

◆ Current state

The next-7 prerelease line is short and almost entirely maintenance. Its one substantive release adopted @verdaccio/server and deleted the local api, web, and storage forks, leaving a thin Storage wrapper behind only to keep callback-based storage plugins working. Everything since has been dependency retargeting, a lint and format toolchain swap, and a tag whose body reads 'chore: trigger release'.

◆ Where it's heading

This is consolidation ahead of a major: the project is collapsing code it had been carrying in-tree back onto shared packages and standardising tooling around oxlint and oxfmt. The remaining compatibility shim is the visible unfinished business — it exists purely for legacy plugins, and it is the last thing standing between this line and a clean server dependency.

◆ Prediction

Removing the legacy storage wrapper is the decision this line is heading toward, and it breaks callback-based storage plugins when it lands, so expect it to arrive with the 7.0.0 final rather than in another next tag. Until then the prerelease stream will keep producing tags with no user-visible content.

Alternatives to ddml and Verdaccio

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 ddml or Verdaccio.

See all ddml alternatives → · See all Verdaccio alternatives →

Recent activity from ddml and Verdaccio

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

  1. 1d agoVerdaccioVerdaccio 7.0.0-next-7.24 is an empty release-trigger tag
  2. 1mo agoVerdaccio7.0.0-next-7.23: oxlint and oxfmt replace eslint and prettier
  3. 2mo agoVerdaccio7.0.0-next-7.22: dependencies moved to the next-9 tag
  4. 2mo agoVerdaccio7.0.0-next-7.21: local api, web and storage forks dropped
  5. 8mo agoddmlFixes for weighted FPLIV, binomial glmnet and empty stacking weights
  6. 1y agoddmlOne-way clustered inference and higher default fold counts
  7. 2y agoddmlPropensity score trimming added across the treatment effect estimators
  8. 2y agoddmlFixes permuted residuals returned by crossval
  9. 2y agoddmlATT and LATE estimators join the supported estimands

Frequently asked questions

What is the difference between ddml and Verdaccio?

They serve adjacent needs but don't currently overlap on shipped themes. Verdaccio is currently shipping more aggressively (velocity 2.5 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 ddml better than Verdaccio?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Verdaccio is currently shipping more aggressively (velocity 2.5 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ddml?

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

What are the best alternatives to Verdaccio?

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