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Comparison · Infra & APIs

ddml vs onemap

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

ddml vs onemap: at a glance

Featureddmlonemap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescausal-inference, machine-learning, econometrics, stackinggenetic-mapping, linkage-analysis, genotyping-by-sequencing, mappoly
Last editorial update2h ago58m 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 onemap?

A genetic-mapping mainstay that now points new users toward MAPpoly at load time

OneMap constructs genetic linkage maps for experimental crosses, and its 3.x line turned it into a hub in a wider mapping toolchain: export functions for VIEWpoly and QTLpoly, summary and interactive ordering functions adapted from MAPpoly, and retention of reference and alternative allele information from imported VCFs. The most recent release, 3.2.0 in January 2025, adds an announcement about MAPpoly to the README and the package load message, fixes a subscript-out-of-bounds warning in rf_2pts and refreshes vignettes and tests.

Read the full onemap trajectory →

ddml vs onemap: 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.

O
onemap
INFRA · APIS
0.0

A genetic-mapping mainstay that now points new users toward MAPpoly at load time

◆ Current state

OneMap constructs genetic linkage maps for experimental crosses, and its 3.x line turned it into a hub in a wider mapping toolchain: export functions for VIEWpoly and QTLpoly, summary and interactive ordering functions adapted from MAPpoly, and retention of reference and alternative allele information from imported VCFs. The most recent release, 3.2.0 in January 2025, adds an announcement about MAPpoly to the README and the package load message, fixes a subscript-out-of-bounds warning in rf_2pts and refreshes vignettes and tests.

◆ Where it's heading

Versions 3.0.0 and 3.1.0 were driven by a benchmarking preprint on genotyping-by-sequencing best practice, and their content follows directly: marker filtering from two-point estimates, memory reduction after filtering, and optimisation of find_bins and map_avoid_unlinked. What has happened since is signposting rather than capability — a package that spent two releases integrating with MAPpoly now tells users about it every time it loads. The pre-3.0 tags are backfilled, with versions 2.3 through 2.7 sharing a single August 2021 timestamp, so their order carries no information.

◆ Prediction

The load-message announcement suggests attention is flowing toward the MAPpoly side of the toolchain; expect maintenance and compatibility releases here rather than new mapping algorithms.

Alternatives to ddml and onemap

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 onemap.

See all ddml alternatives → · See all onemap alternatives →

Recent activity from ddml and onemap

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

  1. 8mo agoddmlFixes for weighted FPLIV, binomial glmnet and empty stacking weights
  2. 1y agoonemapMAPpoly announcement added to README and load message
  3. 1y agoddmlOne-way clustered inference and higher default fold counts
  4. 2y agoddmlPropensity score trimming added across the treatment effect estimators
  5. 2y agoddmlFixes permuted residuals returned by crossval
  6. 2y agoddmlATT and LATE estimators join the supported estimands
  7. 3y agoonemapExports to VIEWpoly and QTLpoly; marker ordering and map summaries
  8. 3y agoonemapTwo-point marker filtering and memory reduction
  9. 4y agoonemapPSOCK and FORK parallelization choice; vcfR as an import
  10. 5y agoonemaphmm=FALSE option for ordering algorithms
  11. 5y agoonemapMDSMap dependency removed

Frequently asked questions

What is the difference between ddml and onemap?

They serve adjacent needs but don't currently overlap on shipped themes. ddml and onemap 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 ddml better than onemap?

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

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