vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
A side-by-side editorial comparison of crandep and tidyprompt — release velocity, themes, recent moves, and the top alternatives to consider.
Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
An R prompting framework hands its provider plumbing to ellmer and inherits MCP tools
tidyprompt composes LLM prompts out of stackable 'prompt wraps' — answer_as_json(), answer_as_category(), answer_using_tools() — and validates what comes back. Its recent history is one decision: stop maintaining a provider layer. llm_provider_ellmer() arrived experimental, then became the path through which structured output, tool calling and streaming are done natively. The newest release adds dataframe and numeric extraction wraps and lets send_prompt() take an ellmer chat object directly.
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
The modelling side has settled into a family of mixtures with matching wrapper and profile-posterior functions, and has not gained a new component since mid-2024. Attention has shifted to data quality in the scraper, where two consecutive releases dealt with the same class of problem: rows that should not exist because of trailing commas in CRAN's own metadata, and rows that should exist but did not because orphan packages have no edges. For a package whose science is degree distributions, missing isolated nodes is a modelling error, not a formatting one.
Expect further hardening against CRAN metadata quirks in the harvesting functions; the mixture-model side looks feature-complete and is likely to stay quiet unless a new component model is published.
tidyprompt composes LLM prompts out of stackable 'prompt wraps' — answer_as_json(), answer_as_category(), answer_using_tools() — and validates what comes back. Its recent history is one decision: stop maintaining a provider layer. llm_provider_ellmer() arrived experimental, then became the path through which structured output, tool calling and streaming are done natively. The newest release adds dataframe and numeric extraction wraps and lets send_prompt() take an ellmer chat object directly.
Two lines run together. One is catalogue growth — every release adds a wrap for another answer shape. The other is consolidation onto ellmer, and that is where the leverage is: because ellmer tool definitions are what mcptools::mcp_tools() returns, tidyprompt gained access to Model Context Protocol servers without writing an MCP client. Its own Gemini provider is already marked superseded. Note the feed's stamps lie — 0.1.0, 0.2.0 and 0.3.0 were all published within two hours of each other in reverse version order.
The remaining first-party providers are the obvious next thing to fold in: the Gemini one is already superseded, and the Ollama and OpenAI providers carry the same duplicated plumbing. Expect the wrap catalogue to keep growing on top of an increasingly ellmer-only base.
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 crandep or tidyprompt.
A genomics workhorse whose visible release feed stops dead in mid-2020.
The R phone-number package stopped only parsing numbers and started asking them where they are.
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
A new R localization package that reached CRAN and immediately downgraded itself to experimental.
An R client for HERE's location APIs, shaped almost entirely by what the vendor exposes next.
See all crandep alternatives → · See all tidyprompt alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. crandep and tidyprompt 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crandep and tidyprompt 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 Infra & APIs products to evaluate alongside.
Top crandep alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "crandep alternatives" section above for the current picks, or visit /alternatives/crandep for the full list with editorial commentary on each.
Top tidyprompt alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyprompt alternatives" section above for the current picks, or visit /alternatives/tidyprompt for the full list with editorial commentary on each.