L1centrality
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
A side-by-side editorial comparison of eratosthenes and webfakes — release velocity, themes, recent moves, and the top alternatives to consider.
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
A fake web server for tests that keeps closing the gap with the real thing.
webfakes runs a real HTTP server inside R tests so packages can exercise network code without hitting the internet. Its releases follow a consistent logic: find a class of behaviour that only the real internet could reproduce, then implement it locally. HTTPS arrived in 1.4.0; before that the httpbin clone reached full parity with the Python original, and a fake git HTTP server landed alongside CGI middleware. The most recent release, 1.5.0, is about the server's own rough edges — keep-alive timeouts, locale-independent HTTP date parsing, and trailing-slash route matching.
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
The package is moving from research code to something a non-author can run. Consolidating estimation behind one function, then wrapping every input class in a validator, are the two steps that make failures legible instead of cryptic, and the diagnostics added earlier serve the same end for the sampler itself. Nothing in the window changes the underlying model; the work is all about making it usable and its output checkable.
With inputs validated and diagnostics in place, the next release is more likely to extend the constraint or assemblage modelling than to keep reworking the interface, though the feed's three sparse tags give little to read a cadence from.
webfakes runs a real HTTP server inside R tests so packages can exercise network code without hitting the internet. Its releases follow a consistent logic: find a class of behaviour that only the real internet could reproduce, then implement it locally. HTTPS arrived in 1.4.0; before that the httpbin clone reached full parity with the Python original, and a fake git HTTP server landed alongside CGI middleware. The most recent release, 1.5.0, is about the server's own rough edges — keep-alive timeouts, locale-independent HTTP date parsing, and trailing-slash route matching.
The package is converging on being indistinguishable from a real server for test purposes, which is the only way it stays useful — every unsupported protocol feature is a piece of code someone cannot test offline. The remaining work has visibly shifted from missing endpoints to correctness details: date header parsing under unusual locales, keep-alive tuning, request body handling across content types.
Expect continued fidelity work against real-server behaviour rather than new app types, with HTTP/2 or authentication schemes the most plausible next gaps given the direction HTTPS opened. The entries do not indicate a specific planned feature.
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 eratosthenes or webfakes.
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.
See all eratosthenes alternatives → · See all webfakes alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. eratosthenes 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes 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 Infra & APIs products to evaluate alongside.
Top eratosthenes alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eratosthenes alternatives" section above for the current picks, or visit /alternatives/eratosthenes for the full list with editorial commentary on each.
Top webfakes alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "webfakes alternatives" section above for the current picks, or visit /alternatives/webfakes for the full list with editorial commentary on each.