skylight
A frozen astronomical model quietly became the inner loop of its sibling's optimizer.
Comparison · Analytics
fastml vs treasury
A side-by-side editorial comparison of fastml and treasury — release velocity, themes, recent moves, and the top alternatives to consider.
fastml vs treasury: 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 treasury?
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
fastml vs treasury: 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.
treasury
0.0ANALYTICS
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
◆ Current state
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
◆ Where it's heading
Endpoint coverage looks essentially complete, so the work has moved to the metadata a downstream analyst needs to join and audit results — cusip and maturity_date on bill quotes, the feed's updated_at stamp, and the extrapolation factor behind 2002-2006 long-term rate estimates. Error handling is tightening in the same direction: an out-of-range month now fails with a message instead of quietly returning nothing. That is the profile of a wrapper moving from coverage to correctness, where the remaining bugs are the subtle ones that only surface in other people's locales.
◆ Prediction
Expect further column-level enrichment and input validation on the endpoints already covered rather than new data sources, since the structural pieces — data.table returns and caching — are already in place.
Alternatives to fastml and treasury
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 treasury.
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.
bagyo
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all fastml alternatives → · See all treasury alternatives →
Recent activity from fastml and treasury
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotreasuryBill rates gain CUSIP and maturity date; locale bug fixed
- 4mo agotreasuryOptional response caching, one day by default
- 8mo agofastmlVersion 0.7.5 ⚡
- 11mo agotreasuryRate functions renamed to singular for consistency
- 1y agofastmlEngine-specific tuning, imbalance handling and explainability
- 1y agotreasuryEvery function now returns a data.table ⚡
- 1y agofastmlSingle-workflow evaluation fix
- 1y agofastmlVersion 0.5.0
- 2y agotreasuryHQM, coupon-issue and breakeven inflation curves added
Frequently asked questions
What is the difference between fastml and treasury?
They serve adjacent needs but don't currently overlap on shipped themes. fastml and treasury 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 treasury?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastml and treasury 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 treasury?
Top treasury alternatives in Analytics are ranked by recent ship velocity. Browse the "treasury alternatives" section above for the current picks, or visit /alternatives/treasury for the full list with editorial commentary on each.