FoRecoML
The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.
Comparison · Infra & APIs
dqcheckr vs sps
A side-by-side editorial comparison of dqcheckr and sps — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
dqcheckr vs sps: at a glance
What is dqcheckr?
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
dqcheckr runs configurable data-quality checks over files and DuckDB tables, driven by YAML dataset configs and recording results as snapshots. The 0.2.0 release added the ability to compare two historical snapshots and report per-column statistical drift, schema changes and trend charts, extending the tool from point-in-time checking into change over time. The most recent tag, 0.3.0, attacks the other friction point by generating the config itself from a sniff pass over the data.
What is sps?
sps keeps sanding down sequential Poisson sampling rather than adding to it.
The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.
dqcheckr vs sps: editorial side-by-side
dqcheckr
2.5INFRA · APIS
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
◆ Current state
dqcheckr runs configurable data-quality checks over files and DuckDB tables, driven by YAML dataset configs and recording results as snapshots. The 0.2.0 release added the ability to compare two historical snapshots and report per-column statistical drift, schema changes and trend charts, extending the tool from point-in-time checking into change over time. The most recent tag, 0.3.0, attacks the other friction point by generating the config itself from a sniff pass over the data.
◆ Where it's heading
Both moves point the same way: reduce what the operator has to write and know. Config generation removes the hand-authored YAML that gated first use, list_runs() and validate_config() make an existing setup inspectable, and the snapshot comparison turns accumulated run history into a second product surface. Check coverage keeps widening underneath — outlier detection, composite keys, row-count and file-size ceilings — and the reporting layer moved from rmarkdown to Quarto, with existing 0.1.x databases auto-migrated on first run.
◆ Prediction
Expect the generated configs and the drift reports to converge, so a sniffed config can seed thresholds from the snapshot history rather than from defaults, plus continued growth in the numbered QC check catalogue.
sps
2.5INFRA · APIS
sps keeps sanding down sequential Poisson sampling rather than adding to it.
◆ Current state
The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.
◆ Where it's heading
Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.
◆ Prediction
Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.
Alternatives to dqcheckr and sps
Other Infra & APIs 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 dqcheckr or sps.
FoReco
Forecast reconciliation with a real object model, five years after it started returning bare matrices.
wooldridge
A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.
L1centrality
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
exametrika
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
nuggets
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
See all dqcheckr alternatives → · See all sps alternatives →
Recent activity from dqcheckr and sps
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agodqcheckrConfig generation from data sniffing; run listing added
- 1mo agospsDocumentation polish; switches to tinytest and litedown
- 2mo agodqcheckrDuckDB CSV ingestion fixed for undetectable delimiters
- 2mo agodqcheckrSnapshot drift analysis arrives; reports move to Quarto ⚡
- 9mo agospsFixes extra argument handling in sps_iterator()
- 0y agospsAdds divisor_method() and a one-unit-at-a-time sampling iterator
- 1y agospsAdds an inclusion-probability vignette and faster partial sorting
- 1y agospsAutomatic tau selection for replicate weights
- 2y agospsAdds becomes_ta() for take-all stratum sample sizes
Frequently asked questions
What is the difference between dqcheckr and sps?
Both compete on the same themes — r-package — within Infra & APIs. dqcheckr and sps are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 dqcheckr better than sps?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dqcheckr and sps are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to dqcheckr?
Top dqcheckr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "dqcheckr alternatives" section above for the current picks, or visit /alternatives/dqcheckr for the full list with editorial commentary on each.
What are the best alternatives to sps?
Top sps alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sps alternatives" section above for the current picks, or visit /alternatives/sps for the full list with editorial commentary on each.