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mirai vs mlr3cmprsk

A side-by-side editorial comparison of mirai and mlr3cmprsk — release velocity, themes, recent moves, and the top alternatives to consider.

mirai vs mlr3cmprsk: at a glance

Featuremiraimlr3cmprsk
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesparallel-computing, async, backpressure, shinymlr3, competing-risks, survival-analysis, machine-learning
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is mirai?

mirai removed its dispatcher process and added memory backpressure to the queue.

The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.

Read the full mirai trajectory →

What is mlr3cmprsk?

Competing risks arrive in mlr3, going from a non-parametric baseline to Fine-Gray regression in seven weeks.

mlr3cmprsk extends mlr3 to competing-risks analysis: learners predicting cumulative incidence functions, plus measures to score them. It appeared in February 2026 and reached 0.0.5 by April, adding a Fine-Gray learner and a Brier score along the way. The version numbers say pre-release; the cadence says active build-out.

Read the full mlr3cmprsk trajectory →

mirai vs mlr3cmprsk: editorial side-by-side

M
mirai
ANALYTICS
2.5

mirai removed its dispatcher process and added memory backpressure to the queue.

◆ Current state

The async evaluation framework releases roughly monthly and moves fast at the architecture level. In 2.7.0 the dispatcher stopped being a separate process and became a thread, after its loop had already been rewritten in C inside nanonext one release earlier. The same release added an opt-in memory budget for queued task payloads and try_mirai(), which returns NULL immediately rather than blocking when that budget is exhausted.

◆ Where it's heading

Two threads of work run together: cutting overhead out of the task path — thread-based dispatcher, in-process transport for synchronous daemons, lower per-element dispatch cost in mirai_map() — and making the framework safe to embed in an event loop, where blocking the host R thread is not acceptable. Deployment reach is growing too, with http_config() launching remote daemons over HTTP APIs and auto-configuring for Posit Workbench. Each release pins a minimum nanonext version, so the two packages advance as one unit.

◆ Prediction

With backpressure in place but opt-in, the open question these notes leave is whether a default memory budget arrives; continued overhead reduction and Shiny-facing non-blocking paths are the safer bet.

M
mlr3cmprsk
ANALYTICS
0.0

Competing risks arrive in mlr3, going from a non-parametric baseline to Fine-Gray regression in seven weeks.

◆ Current state

mlr3cmprsk extends mlr3 to competing-risks analysis: learners predicting cumulative incidence functions, plus measures to score them. It appeared in February 2026 and reached 0.0.5 by April, adding a Fine-Gray learner and a Brier score along the way. The version numbers say pre-release; the cadence says active build-out.

◆ Where it's heading

The package assembled a working evaluation stack fast. It started with the Aalen-Johansen estimator as a non-parametric baseline, added Fine-Gray as a regression alternative, then filled in the scoring side with an AUC refactor and a fixed-time Brier score. Development has run in lockstep with survdistr and mlr3extralearners, which picked up the dependency at 1.5.2.

◆ Prediction

The visible gaps are more learners — cause-specific Cox and boosting variants — and the tuning and pipeline integration the rest of mlr3 expects; the measure side currently looks further along than the model side.

Alternatives to mirai and mlr3cmprsk

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 mirai or mlr3cmprsk.

See all mirai alternatives → · See all mlr3cmprsk alternatives →

Recent activity from mirai and mlr3cmprsk

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

  1. 25d agomiraiMap collection and daemon lifecycle fixes
  2. 2mo agomiraiAgent skill ships in-package; HTTP headers take over auth
  3. 3mo agomiraiDispatcher becomes a thread, and the queue gains a memory budget
  4. 4mo agomlr3cmprskBrier score for competing risks and an AUC refactor
  5. 4mo agomlr3cmprskFine-Gray learner brings regression modelling to competing risks
  6. 4mo agomlr3cmprskAalen-Johansen learner gains standard mlr3 properties
  7. 4mo agomlr3cmprskCIF interpolation pulled from survdistr
  8. 5mo agomiraiParallel RNG seeding leaves experimental status
  9. 5mo agomlr3cmprskFirst release on mlr-org.r-universe
  10. 6mo agomiraiRemote daemons over HTTP, and a C dispatcher loop
  11. 8mo agomiraiTelemetry span timing and daemon-switch fix

Frequently asked questions

What is the difference between mirai and mlr3cmprsk?

They serve adjacent needs but don't currently overlap on shipped themes. mirai 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 mirai better than mlr3cmprsk?

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

What are the best alternatives to mirai?

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

What are the best alternatives to mlr3cmprsk?

Top mlr3cmprsk alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3cmprsk alternatives" section above for the current picks, or visit /alternatives/mlr3cmprsk for the full list with editorial commentary on each.