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collapse vs ichimoku

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

collapse vs ichimoku: at a glance

Featurecollapseichimoku
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsfinancial-charting, technical-analysis, dependency-reduction, oanda
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is collapse?

collapse got a JSS paper and a 7x fmean speedup in the same release.

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

Read the full collapse 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 →

collapse vs ichimoku: editorial side-by-side

C
collapse
ANALYTICS
0.0

collapse got a JSS paper and a 7x fmean speedup in the same release.

◆ Current state

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

◆ Where it's heading

The package is consolidating institutionally as much as technically. The repository moved to the fastverse organization with multiple people granted access, the Journal of Statistical Software paper landed as the primary citation, and documentation now includes an AI-generated interactive layer. Technically the focus is the hashing and grouping core — the decision to treat -0 and 0 as equal across funique(), group(), fmatch(), fmode() and their derivatives was made in sync with an equivalent change in Rcpp, and accepted a measured 3% cost to get it. The last release with breaking changes sits outside this six-entry window.

◆ Prediction

Expect further targeted performance work on the grouped statistical functions and continued small correctness fixes; the governance move to fastverse suggests contribution volume rather than direction is what the maintainer is managing.

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 collapse 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 collapse or ichimoku.

See all collapse alternatives → · See all ichimoku alternatives →

Recent activity from collapse and ichimoku

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

  1. 2mo agoichimokuJSON parsing moves from RcppSimdJson to secretbase
  2. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  3. 7mo agocollapseNegative zero now hashes equal to zero across the package
  4. 8mo agocollapsecollap() no longer double-aggregates external weights
  5. 9mo agocollapseCustom unlist() preserves attributes
  6. 0y agocollapseAssorted bug fixes
  7. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
  8. 1y agoichimokuFaster POSIXct formatting exported as a utility
  9. 1y agoichimokuMultiple concurrent sessions in the OANDA Shiny app
  10. 1y agoichimokuAsymmetric strategies now emit their final entry signal
  11. 2y agoichimokusecretbase floor raised to 1.0.0
  12. 2y agoichimokuArchive verification reverts to SHA256

Frequently asked questions

What is the difference between collapse and ichimoku?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collapse and ichimoku 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 Analytics products to evaluate alongside.

What are the best alternatives to collapse?

Top collapse alternatives in Analytics are ranked by recent ship velocity. Browse the "collapse alternatives" section above for the current picks, or visit /alternatives/collapse-r 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.