dowhy
DoWhy adds one estimation method a year and keeps its identification edge.
A side-by-side editorial comparison of Grafana Mimir and statsmodels — release velocity, themes, recent moves, and the top alternatives to consider.
Mimir's feed is mostly Helm automation; the real work is inside the query engine.
The apparent cadence is misleading — five of the last seven entries are bot-generated weekly Helm chart releases carrying no functional change. The substantive item is the 3.2 release candidate, which collects 693 PRs from 61 authors and concentrates on Mimir Query Engine optimizations, PromQL function coverage, and native histogram handling.
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
The apparent cadence is misleading — five of the last seven entries are bot-generated weekly Helm chart releases carrying no functional change. The substantive item is the 3.2 release candidate, which collects 693 PRs from 61 authors and concentrates on Mimir Query Engine optimizations, PromQL function coverage, and native histogram handling.
MQE is where the engineering is going: added support for histogram_quantiles, a native histogram trim operation, and a rename of the experimental duration-arithmetic helpers to min_of and max_of. The chart pipeline runs on its own weekly schedule and says nothing about product direction, so read this feed by ignoring roughly two-thirds of it.
With 3.2.0-rc.0 out, a 3.2.0 general release is the near-certain next step, followed by a mimir-distributed chart release once the weekly train picks up the new version.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
The library is being kept alive rather than developed: each release answers a break introduced upstream, and the interval between them is set by the NumPy, SciPy and pandas release calendars rather than by anything statsmodels is building. Two consecutive releases whose stated purpose was restoring the ability to import the package is the sharpest available signal about maintainer bandwidth. The 0.15 line remains a dev tag with no visible progress toward a release.
The next release is most likely another compatibility patch triggered by a NumPy, SciPy or pandas major, and nothing in these entries indicates 0.15 is close.
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 Grafana Mimir or statsmodels.
DoWhy adds one estimation method a year and keeps its identification edge.
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all Grafana Mimir alternatives → · See all statsmodels alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Grafana Mimir is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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. Grafana Mimir is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Grafana Mimir alternatives in Analytics are ranked by recent ship velocity. Browse the "Grafana Mimir alternatives" section above for the current picks, or visit /alternatives/grafana-mimir for the full list with editorial commentary on each.
Top statsmodels alternatives in Analytics are ranked by recent ship velocity. Browse the "statsmodels alternatives" section above for the current picks, or visit /alternatives/statsmodels for the full list with editorial commentary on each.