qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
Dagster vs ggdemetra
A side-by-side editorial comparison of Dagster and ggdemetra — release velocity, themes, recent moves, and the top alternatives to consider.
Dagster vs ggdemetra: at a glance
What is Dagster?
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
Dagster ships a core/libraries pair on a near-weekly cadence, and the release notes read like an engineering log: a few genuinely new capabilities per version, a long bugfix tail, and steady community contributions. The current cycle is concentrated in three places — Declarative Automation, the dbt-on-Snowflake integration, and asset health reporting. Serverless and Kubernetes deployment paths get frequent hardening.
What is ggdemetra?
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.
Dagster vs ggdemetra: editorial side-by-side
Dagster
6.3ANALYTICS
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
◆ Current state
Dagster ships a core/libraries pair on a near-weekly cadence, and the release notes read like an engineering log: a few genuinely new capabilities per version, a long bugfix tail, and steady community contributions. The current cycle is concentrated in three places — Declarative Automation, the dbt-on-Snowflake integration, and asset health reporting. Serverless and Kubernetes deployment paths get frequent hardening.
◆ Where it's heading
Declarative Automation is expanding past its original asset scope: it can now launch entire jobs from a condition, with its own evaluation history tab. In parallel, the component model is becoming the packaging unit for integrations, with SnowflakeDbtProjectComponent moving from preview toward parity with DbtCloudComponent via versioned state storage. Asset health is being made more honest — failures pending an automatic retry now warn rather than report degraded, so alerts stop crying wolf.
◆ Prediction
Declarative Automation for jobs is the clearest candidate to graduate from preview, and SnowflakeDbtProjectComponent is following the same preview-to-parity path. Expect the component surface to keep absorbing integrations that were previously bespoke code.
ggdemetra
0.0ANALYTICS
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to Dagster and ggdemetra
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 Dagster or ggdemetra.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all Dagster alternatives → · See all ggdemetra alternatives →
Recent activity from Dagster and ggdemetra
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDagsterPartition-level retry warnings and defs_state for the Snowflake dbt component
- 8d agoDagsterRetry-pending failures now warn instead of degrading
- 16d agoDagsterDeclarative Automation can now launch jobs (preview) ⚡
- 23d agoDagsterSnowflake dbt component preview and MCP server docs
- 1mo agoDagsterServerless I/O manager 401 and 400 errors fixed
- 1mo agoDagsterInstall-time protobuf version conflict fixed
- 2y agoggdemetrasiratio() fix when TRAMO-SEATS exports no seasonal component
- 2y agoggdemetraraw() replaces y_forecast(); new init_ggplot() helper
- 2y agoggdemetraRe-tagged moments later as 0.2.7
- 3y agoggdemetraSI ratio plotting functions land
- 5y agoggdemetrats2df() conversion helper and geom_outlier date fix
- 6y agoggdemetrageom_arima no longer recomputes the model
Frequently asked questions
What is the difference between Dagster and ggdemetra?
They serve adjacent needs but don't currently overlap on shipped themes. Dagster 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.
Is Dagster better than ggdemetra?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster 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.
What are the best alternatives to Dagster?
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.
What are the best alternatives to ggdemetra?
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.