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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of ggdemetra and OpenObserve — release velocity, themes, recent moves, and the top alternatives to consider.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
After the 836-commit 0.92 release, OpenObserve is quietly moving its MCP server into the free tier
OpenObserve is in the settle-down phase after v0.92.0, the largest release the project has shipped, which added synthetic monitoring, Workflows v1, an expanded AI observability set, per-group and per-series alerting with SLOs, and moved Vortex and the MCP server into open source. The v0.92.1 patch that followed is small but pointed: the MCP Server setup page now renders on the OSS build, and an alerts bug where the HAVING clause was typed from the column rather than the aggregate is fixed. The 0.91 line continues to receive backported fixes in parallel.
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
The package has been steadily completing its coverage of the seasonal adjustment output surface: component extractors and autoplot methods in 0.2.3, SI ratio plotting in 0.2.5, then two releases of corrections to make SI ratios behave under TRAMO-SEATS jSA models and when no seasonal component is exported. Alongside that, the naming is being tidied — y_forecast() became raw(), and init_ggplot() shortened the setup boilerplate. This reads as a package approaching the edge of its intended scope and spending its effort on correctness.
Two consecutive releases fixing SI ratios under TRAMO-SEATS suggest that code path is the least settled part of the package, so further corrections there are the most likely next move. The entries give no indication of new model families or plot types being planned.
OpenObserve is in the settle-down phase after v0.92.0, the largest release the project has shipped, which added synthetic monitoring, Workflows v1, an expanded AI observability set, per-group and per-series alerting with SLOs, and moved Vortex and the MCP server into open source. The v0.92.1 patch that followed is small but pointed: the MCP Server setup page now renders on the OSS build, and an alerts bug where the HAVING clause was typed from the column rather than the aggregate is fixed. The 0.91 line continues to receive backported fixes in parallel.
The MCP thread is the one to watch. Open-sourcing the server in 0.92.0 was the architectural move; serving its setup page on the OSS build a week later is what makes it reachable without an enterprise license. That points at agent clients as a first-class consumption path rather than an enterprise upsell, which is a different distribution bet than the synthetic-monitoring and Workflows surfaces that headlined the same release. Everything else in this window is stabilization — RC backports, memtable rotation, RBAC migrations — consistent with a project digesting a release that spanned two repositories and a large-scale crate reorganization.
Expect a run of 0.92.x patches concentrated on the three new surfaces, since synthetic monitoring, Workflows and eval scheduling all shipped at once with limited production exposure. The alerts fix suggests the aggregation path is a likely source of further corrections.
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 ggdemetra or OpenObserve.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all ggdemetra alternatives → · See all OpenObserve alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. OpenObserve 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. OpenObserve 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 ggdemetra alternatives in Analytics are ranked by recent ship velocity. Browse the "ggdemetra alternatives" section above for the current picks, or visit /alternatives/ggdemetra for the full list with editorial commentary on each.
Top OpenObserve alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenObserve alternatives" section above for the current picks, or visit /alternatives/openobserve for the full list with editorial commentary on each.