TLF-Library
The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.
Comparison · Analytics
fastml vs vecvec
A side-by-side editorial comparison of fastml and vecvec — release velocity, themes, recent moves, and the top alternatives to consider.
fastml vs vecvec: at a glance
What is fastml?
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.
What is vecvec?
A vector-of-vectors class swapped its object system mid-flight and came out faster.
vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.
fastml vs vecvec: editorial side-by-side
fastml
0.0ANALYTICS
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
◆ Current state
A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.
◆ Where it's heading
The package is moving from convenience wrapper to something that has to be defensible statistically. Nested cross-validation, fold-wise rather than up-front imputation, and explicit leakage checks are all corrections to the shortcuts that make AutoML easy and its scores optimistic. Survival adds a third task type alongside classification and regression, and it arrived with its own metrics rather than being bolted onto the existing ones. Note the entry body is cut off at 8,000 characters, so the release is larger than what is shown.
◆ Prediction
Expect the remaining survival engines to fill in and the sandboxing of custom preprocessing to tighten, since both were still being iterated on within this same release's commit list.
vecvec
0.0ANALYTICS
A vector-of-vectors class swapped its object system mid-flight and came out faster.
◆ Current state
vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.
◆ Where it's heading
The arc runs from proving the idea to making it cheap. Early releases established constructors and vctrs dispatch; 1.0.0 rebuilt the internals on S7 with a smaller, faster representation and automatic flattening of adjacent compatible vectors; the two releases since have been about not defeating the point — an ALTREP vector flattened on construction or materialised by a print method gives back exactly the memory the class exists to save. Extensibility is the other visible thread, with custom ptype2 and cast methods now registrable and extension packages expected to subclass class_vecvec. The internal index structure is explicitly reserved for future change, so faster special-case representations look planned rather than incidental.
◆ Prediction
The reserved internal structure and the stated intent to accommodate faster variants point at specialised representations for particular vector types next; the entries do not indicate which cases are queued first.
Alternatives to fastml and vecvec
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 fastml or vecvec.
skylight
A frozen astronomical model quietly became the inner loop of its sibling's optimizer.
randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
abclass
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
See all fastml alternatives → · See all vecvec alternatives →
Recent activity from fastml and vecvec
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agovecvecExtension packages can register their own ptype and cast methods
- 1mo agovecvecALTREP vectors survive construction and printing intact
- 3mo agovecvecThe class is rebuilt on S7, with a new internal representation ⚡
- 4mo agovecvecMissing value handling fixed for is.na()
- 8mo agofastmlVersion 0.7.5 ⚡
- 11mo agovecvecArithmetic and per-vector apply arrive
- 11mo agovecvecFirst release: constructors and vctrs dispatch
- 1y agofastmlEngine-specific tuning, imbalance handling and explainability
- 1y agofastmlSingle-workflow evaluation fix
- 1y agofastmlVersion 0.5.0
Frequently asked questions
What is the difference between fastml and vecvec?
They serve adjacent needs but don't currently overlap on shipped themes. fastml and vecvec 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 fastml better than vecvec?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastml and vecvec 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 fastml?
Top fastml alternatives in Analytics are ranked by recent ship velocity. Browse the "fastml alternatives" section above for the current picks, or visit /alternatives/fastml for the full list with editorial commentary on each.
What are the best alternatives to vecvec?
Top vecvec alternatives in Analytics are ranked by recent ship velocity. Browse the "vecvec alternatives" section above for the current picks, or visit /alternatives/vecvec for the full list with editorial commentary on each.