cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
enderecobr vs SSN2
A side-by-side editorial comparison of enderecobr and SSN2 — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
enderecobr vs SSN2: at a glance
What is enderecobr?
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
What is SSN2?
Stream-network spatial models learning to run on data that no longer fits in memory
SSN2 fits spatial statistical models on stream networks, where covariance follows flow-connected distance along the network rather than straight-line distance. It is the maintained successor to the original SSN package, published through JOSS in 2024, and leans on spmodel for its underlying model machinery. Recent releases have concentrated on the constraint that binds this class of model hardest: the distance matrix.
enderecobr vs SSN2: editorial side-by-side
enderecobr
0.0ANALYTICS
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
◆ Current state
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
◆ Where it's heading
Two years of releases were about control and correctness: new formato arguments letting callers choose state names or abbreviations, integers or characters for house numbers, and a run of fixes for numbers mangled by thousands separators. That work settled the semantics. With the behaviour pinned down, the Rust rewrite becomes the natural next move, and the release pairs it with new matching rules for the two messiest fields, neighbourhoods and street names.
◆ Prediction
The rewrite covers the standardisation functions specifically, so the remaining pure-R paths around them are the likely next targets, alongside continued rule additions for street and neighbourhood variants.
SSN2
0.0ANALYTICS
Stream-network spatial models learning to run on data that no longer fits in memory
◆ Current state
SSN2 fits spatial statistical models on stream networks, where covariance follows flow-connected distance along the network rather than straight-line distance. It is the maintained successor to the original SSN package, published through JOSS in 2024, and leans on spmodel for its underlying model machinery. Recent releases have concentrated on the constraint that binds this class of model hardest: the distance matrix.
◆ Where it's heading
The first year was about establishing credibility and interoperability — a JOSS review, geopackage import support, deprecation of the SSN-to-SSN2 bridge, marginal means through emmeans. The 2025 releases turn to scale, moving distance matrices onto disk via filematrix and routing estimation and prediction through the local approximation. The 0.4.0 default change is the visible consequence: the neighbourhood size rises from 100 to 200, buying accuracy now that the surrounding machinery can afford it.
◆ Prediction
With the large-data path established and its default just retuned, the next work most likely tightens that approximation further or extends it to the model classes the local argument does not yet cover.
Alternatives to enderecobr and SSN2
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 enderecobr or SSN2.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
fmtr
Rebuilding SAS's formatting layer in R, one format specification at a time
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
dcurves
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
See all enderecobr alternatives → · See all SSN2 alternatives →
Recent activity from enderecobr and SSN2
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoenderecobrStandardisation functions rewritten in Rust ⚡
- 9mo agoSSN2Local neighbourhood default doubled to 200
- 10mo agoSSN2partition_factor regression fixed, spmodel floor raised
- 0y agoSSN2On-disk distance matrices lift the large-data ceiling
- 1y agoenderecobrNamespaced calls no longer error on internal warnings
- 1y agoenderecobrHouse numbers gain output format control, thousands-separator bug fixed
- 1y agoenderecobrStates can be standardised to full names or abbreviations
- 1y agoenderecobrAuthor added to package metadata
- 1y agoenderecobrStreet-type functions added and output columns given a naming convention
- 1y agoSSN2Numeric stability fix for beta-family models
- 2y agoSSN2Geopackage import support and the JOSS review release
- 2y agoSSN2Snapshot tag marking JOSS acceptance
Frequently asked questions
What is the difference between enderecobr and SSN2?
Both compete on the same themes — r-package — within Analytics. enderecobr and SSN2 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 enderecobr better than SSN2?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. enderecobr and SSN2 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 enderecobr?
Top enderecobr alternatives in Analytics are ranked by recent ship velocity. Browse the "enderecobr alternatives" section above for the current picks, or visit /alternatives/enderecobr for the full list with editorial commentary on each.
What are the best alternatives to SSN2?
Top SSN2 alternatives in Analytics are ranked by recent ship velocity. Browse the "SSN2 alternatives" section above for the current picks, or visit /alternatives/ssn2 for the full list with editorial commentary on each.