distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
A side-by-side editorial comparison of mev and NocoDB — release velocity, themes, recent moves, and the top alternatives to consider.
An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.
mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.
Interfaces gets the permissions layer it needed, one release after launching.
NocoDB ships monthly, and the last two releases are a launch and its follow-through. 2026.08.0 introduced Interfaces, custom app surfaces built over a base; 2026.08.1 gives that layer what it was missing — per-dashboard visibility and editing permissions, field edit permissions enforced on interface pages, team-granted access, and page reordering. Alongside it the grid gains realtime presence with per-collaborator colours and jump-to-cursor, folders for grouping tables and views, up to three frozen fields, and nested records in List View.
mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.
The package is consolidating into a reference implementation of the extreme-value literature rather than a collection of one-off routines. Sixteen threshold-selection methods now share standardised arguments and their own plot and print methods with automatic selection, which is the tell: the goal is comparability across methods, not just availability. Dependency reduction runs alongside, with distribution functions written in-package to drop evd and Rsolnp replacing nloptr in earlier releases.
Version 2.1 continued adding threshold-selection routines within the new naming scheme, so the next release most likely follows the same pattern — more estimators fitted to the established prefixes, plus fixes to the 2.0 renaming. The entries give no sign of a further structural change.
NocoDB ships monthly, and the last two releases are a launch and its follow-through. 2026.08.0 introduced Interfaces, custom app surfaces built over a base; 2026.08.1 gives that layer what it was missing — per-dashboard visibility and editing permissions, field edit permissions enforced on interface pages, team-granted access, and page reordering. Alongside it the grid gains realtime presence with per-collaborator colours and jump-to-cursor, folders for grouping tables and views, up to three frozen fields, and nested records in List View.
The pattern is consistent: NocoDB launches a surface, then spends the next release making it governable and usable at team scale. Presence and folders are collaboration parity rather than new direction — the directional bet was Interfaces, and this release is that bet being made safe for the eighty people who only need to approve something. The permission system is now the same one across tables, fields, dashboards, and interface pages, which is the consolidation that makes the app layer sellable.
Write-back actions and embedding are the remaining pieces app builders expect from Interfaces, and the availability tables in each release suggest they land on the paid tier.
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 mev or NocoDB.
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.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. NocoDB 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. NocoDB 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 mev alternatives in Analytics are ranked by recent ship velocity. Browse the "mev alternatives" section above for the current picks, or visit /alternatives/mev for the full list with editorial commentary on each.
Top NocoDB alternatives in Analytics are ranked by recent ship velocity. Browse the "NocoDB alternatives" section above for the current picks, or visit /alternatives/nocodb for the full list with editorial commentary on each.