distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
A side-by-side editorial comparison of INBOmd and Plotly — release velocity, themes, recent moves, and the top alternatives to consider.
Institutional report templates where a missing metadata field watermarks the whole document.
INBOmd supplies R Markdown output formats — PDF, gitbook, EPUB — carrying the house style and colophon requirements of INBO, the Flemish nature and forest research institute. Its distinguishing design decision is enforcement by embarrassment: an incomplete colophon stamps a watermark across every page until the required fields are filled in. Recent releases are small corrections, with the substantive template work sitting several years back.
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
INBOmd supplies R Markdown output formats — PDF, gitbook, EPUB — carrying the house style and colophon requirements of INBO, the Flemish nature and forest research institute. Its distinguishing design decision is enforcement by embarrassment: an incomplete colophon stamps a watermark across every page until the required fields are filled in. Recent releases are small corrections, with the substantive template work sitting several years back.
The package has settled into maintenance around a stable feature set, with recent activity split between watermark and colophon edge cases and keeping in step with its siblings — it picked up the new citeme dependency within days of checklist splitting that package out. The open work is the long tail of citation rendering across three output formats, where subtitles, colophon fields and DOIs each surface separately. Nothing here suggests new output formats are planned.
Expect continued small fixes to colophon and citation rendering across the three output formats, and dependency updates tracking the checklist and citeme packages it sits alongside.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
The Cloud releases are assembling the standard pieces of a hosting business in order — identity first (domain verification, explicitly framed as the step before SSO), then billing (viewer seats, then metered compute credits), and now production-grade serving (custom domains, automatic certificate renewal). Studio is being hardened as the authoring front end that feeds it: Universal Deployment pushed beyond Dash apps, credentials saved once and reused, a Winget channel to widen Windows installs, and in v0.0.86 a rebuilt session engine plus automatic retries so agent runs survive expired tokens. The two tracks converge on one funnel — author in Studio, deploy to Cloud, pay by compute consumed.
The Domain Verification entry names SSO as the next step and places it in the Enterprise tier, so single sign-on is the most likely Cloud release next. Studio should hold its one-to-two-week cadence, with the newly added app thumbnails pointing toward more work on browsing and organizing generated apps.
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 INBOmd or Plotly.
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio ships through release branches, and the notes are commit messages
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics keeps fencing in the AI layer it spent the summer building.
See all INBOmd alternatives → · See all Plotly alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Plotly is currently shipping more aggressively (velocity 6.3 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. Plotly is currently shipping more aggressively (velocity 6.3 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 INBOmd alternatives in Analytics are ranked by recent ship velocity. Browse the "INBOmd alternatives" section above for the current picks, or visit /alternatives/inbomd for the full list with editorial commentary on each.
Top Plotly alternatives in Analytics are ranked by recent ship velocity. Browse the "Plotly alternatives" section above for the current picks, or visit /alternatives/plotly for the full list with editorial commentary on each.