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 KubeArmor — 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().
Every release in the feed is a candidate — the stable line is decided elsewhere.
KubeArmor's tracked feed contains only release candidates: three for 1.7.4 and one for 1.7.5, with no stable tag among them. The work divides into eBPF-level observability (DNS visibility moved from udp_sendmsg to udp_send_skb, DNS support and a verifier for kernel 6.17), platform compatibility (Ubuntu 26.04, openEuler 24.03 LTS-SP3, RHEL kernel iov handling), and supply-chain scoring — Renovate integration, workflow token permissions and provenance generation explicitly aimed at OpenSSF Scorecard numbers. Contribution is broad, with a dozen or more named authors per candidate.
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.
KubeArmor's tracked feed contains only release candidates: three for 1.7.4 and one for 1.7.5, with no stable tag among them. The work divides into eBPF-level observability (DNS visibility moved from udp_sendmsg to udp_send_skb, DNS support and a verifier for kernel 6.17), platform compatibility (Ubuntu 26.04, openEuler 24.03 LTS-SP3, RHEL kernel iov handling), and supply-chain scoring — Renovate integration, workflow token permissions and provenance generation explicitly aimed at OpenSSF Scorecard numbers. Contribution is broad, with a dozen or more named authors per candidate.
Kernel-version chase is the dominant constraint. An eBPF enforcement agent has to track kernel internals release by release, and a meaningful share of each candidate goes to keeping probes attached across new kernels and distributions rather than adding policy capability. The one genuine capability attempt in this window — TLD and subdomain enforcement — was merged and then reverted within the same release candidate, which suggests network-identity policy is being worked on and is not yet stable.
Expect TLD and subdomain enforcement to return once the regression behind the revert is resolved, and continued kernel and distribution matrix expansion. Whether 1.7.4 ever reached a stable tag is not visible in this feed.
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 KubeArmor.
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 KubeArmor alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. eratosthenes and KubeArmor 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes and KubeArmor 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.
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 KubeArmor alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "KubeArmor alternatives" section above for the current picks, or visit /alternatives/kubearmor for the full list with editorial commentary on each.