STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of fastrg and vahtian — release velocity, themes, recent moves, and the top alternatives to consider.
A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.
fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.
A provenance-first corpus tool hands its verification core to agents over MCP
vahtian freezes a set of research records into a content-hashed, date-locked corpus, verifies it is untampered, and keeps a hash-chained audit ledger. It ships in Python and R with byte-identical content hashes enforced by a golden-hash test in both suites. In five weeks it went from first release to exposing its five core operations through a local stdio MCP server and registering in the MCP Registry.
fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.
The package's development has been about semantic correctness more than speed. The 0.3.1 release moved edge-distribution arguments to the constructors and reinterpreted the mixing matrix S under Bernoulli parameterisation; 0.3.2 then flipped the meaning of X and Y in directed blockmodels so outgoing and incoming factors match the edge convention, and made block sorting conditional rather than unconditional. Both are corrections to what returned values mean, not to how fast they arrive. The 2025 release is CRAN documentation linking only.
With parameterisation settled and only a documentation release since 2023, the package reads as feature-complete for its sampling families. Nothing in the entries points to additional model types being queued.
vahtian freezes a set of research records into a content-hashed, date-locked corpus, verifies it is untampered, and keeps a hash-chained audit ledger. It ships in Python and R with byte-identical content hashes enforced by a golden-hash test in both suites. In five weeks it went from first release to exposing its five core operations through a local stdio MCP server and registering in the MCP Registry.
The direction is explicit in the project's own framing — human-first, AI-second, auditable — and the MCP server is what makes that framing operational rather than rhetorical. Rather than adding judgement, the tool is being positioned as the thing an agent calls to prove a corpus has not moved. The CiteVahti claim-source comparator, mirrored across both languages under a parity gate, extends the same idea to per-claim checking. Everything stays on the user's machine: no accounts, no telemetry.
The comparator's per-field epistemic states are the newest and least settled piece; expect the next release to extend those states or to widen the R package's distribution, which is still described as coming.
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 fastrg or vahtian.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all fastrg alternatives → · See all vahtian alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. vahtian is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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. vahtian is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top fastrg alternatives in Analytics are ranked by recent ship velocity. Browse the "fastrg alternatives" section above for the current picks, or visit /alternatives/fastrg for the full list with editorial commentary on each.
Top vahtian alternatives in Analytics are ranked by recent ship velocity. Browse the "vahtian alternatives" section above for the current picks, or visit /alternatives/vahtian for the full list with editorial commentary on each.