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hdnom vs ichimoku

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

hdnom vs ichimoku: at a glance

Featurehdnomichimoku
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themessurvival analysis, r, regularization, nomogramsfinancial-charting, technical-analysis, dependency-reduction, oanda
Last editorial update1h ago47m ago
WebsiteVisit →Visit →

What is hdnom?

hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to

hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.

Read the full hdnom trajectory →

What is ichimoku?

A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.

ichimoku implements Ichimoku Kinko Hyo cloud charts, strategy backtesting and an OANDA data interface for R. Recent releases are almost entirely plumbing: 1.5.7 drops RcppSimdJson in favor of secretbase for JSON parsing, following earlier releases that moved hashing to secretbase and raised the nanonext and mirai floors. The charting and strategy surface has been stable since the 1.5.0 line.

Read the full ichimoku trajectory →

hdnom vs ichimoku: editorial side-by-side

H
hdnom
ANALYTICS
5.0

hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to

◆ Current state

hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.

◆ Where it's heading

The releases track two upstream pressures with no feature work of its own. glmnet is the larger one: its 4.1-9 change to how Cox cross-validation errors are normalized made lambda.1se select null models far more often, forcing hdnom to expose a rule argument and switch its examples to lambda.min. R-devel is the other, producing a steady trickle of strict-headers, deprecated-symbol and check-note fixes. The pattern is consistent — absorb the upstream change, default to whatever preserves existing behaviour, let users opt into the new one.

◆ Prediction

The cox.ties default is explicitly pinned to "breslow" to silence glmnet's migration warning, which is a deferral rather than a decision; expect a future release to flip that default to "efron" once glmnet completes the transition.

I
ichimoku
ANALYTICS
0.0

A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.

◆ Current state

ichimoku implements Ichimoku Kinko Hyo cloud charts, strategy backtesting and an OANDA data interface for R. Recent releases are almost entirely plumbing: 1.5.7 drops RcppSimdJson in favor of secretbase for JSON parsing, following earlier releases that moved hashing to secretbase and raised the nanonext and mirai floors. The charting and strategy surface has been stable since the 1.5.0 line.

◆ Where it's heading

The visible arc is consolidation onto the maintainer's own package family — secretbase for hashing and now JSON, nanonext and mirai for concurrency — which steadily removes third-party and Rcpp-based dependencies from the install chain. Feature work is sporadic and narrow when it comes: a faster POSIXct formatter exported as a utility, a multi-session option for the Shiny app, and a fix for asymmetric strategies that failed to emit a final entry signal.

◆ Prediction

Expect further dependency consolidation as the sibling packages gain capabilities, with ichimoku adopting them shortly after release rather than shipping new charting features.

Alternatives to hdnom and ichimoku

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 hdnom or ichimoku.

See all hdnom alternatives → · See all ichimoku alternatives →

Recent activity from hdnom and ichimoku

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

  1. 18d agohdnomhdnom 6.2.1
  2. 18d agohdnomhdnom 6.2.0 pins Cox tie handling ahead of glmnet's migration
  3. 2mo agoichimokuJSON parsing moves from RcppSimdJson to secretbase
  4. 1y agohdnomhdnom 6.1.0 exposes lambda selection after a glmnet normalization change
  5. 1y agoichimokuFaster POSIXct formatting exported as a utility
  6. 1y agoichimokuMultiple concurrent sessions in the OANDA Shiny app
  7. 1y agohdnomhdnom 6.0.4
  8. 1y agoichimokuAsymmetric strategies now emit their final entry signal
  9. 2y agoichimokusecretbase floor raised to 1.0.0
  10. 2y agoichimokuArchive verification reverts to SHA256
  11. 2y agohdnomhdnom 6.0.3
  12. 3y agohdnomhdnom 6.0.2

Frequently asked questions

What is the difference between hdnom and ichimoku?

They serve adjacent needs but don't currently overlap on shipped themes. hdnom is currently shipping more aggressively (velocity 5.0 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 hdnom better than ichimoku?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hdnom is currently shipping more aggressively (velocity 5.0 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 Analytics products to evaluate alongside.

What are the best alternatives to hdnom?

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

What are the best alternatives to ichimoku?

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