← Back to home
Comparison · Analytics

Dagster vs filtro

A side-by-side editorial comparison of Dagster and filtro — release velocity, themes, recent moves, and the top alternatives to consider.

Dagster vs filtro: at a glance

FeatureDagsterfiltro
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesdata-orchestration, declarative-automation, dbt, asset-healthfeature selection, tidymodels, s7, filter methods
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

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.

Read the full Dagster trajectory →

What is filtro?

filtro moves to S7 and multiplies its feature-scoring methods in a single release.

filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.

Read the full filtro trajectory →

Dagster vs filtro: editorial side-by-side

D
Dagster
ANALYTICS
6.3

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.

F
filtro
ANALYTICS
0.0

filtro moves to S7 and multiplies its feature-scoring methods in a single release.

◆ Current state

filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.

◆ Where it's heading

The package is being built out on two axes at once — the catalogue of scores, and the machinery for choosing between them. The desirability functions are the more telling half, since they assume users will filter on several criteria rather than one. Adopting S7 while still pre-1.0 suggests the object model is being settled before the API is frozen.

◆ Prediction

Expect more scoring methods on the same S7 interface and a 1.0 release once the score and ranking APIs stop moving; the ranking helpers' naming is the most likely thing to change first.

Alternatives to Dagster and filtro

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 filtro.

See all Dagster alternatives → · See all filtro alternatives →

Recent activity from Dagster and filtro

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 18h agoDagsterPartition-level retry warnings and defs_state for the Snowflake dbt component
  2. 7d agoDagsterRetry-pending failures now warn instead of degrading
  3. 15d agoDagsterDeclarative Automation can now launch jobs (preview)
  4. 22d agoDagsterSnowflake dbt component preview and MCP server docs
  5. 29d agoDagsterServerless I/O manager 401 and 400 errors fixed
  6. 1mo agoDagsterInstall-time protobuf version conflict fixed
  7. 11mo agofiltroFive new filter scores and the move to S7
  8. 11mo agofiltroDevelopment build: score transformation handling

Frequently asked questions

What is the difference between Dagster and filtro?

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 filtro?

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 filtro?

Top filtro alternatives in Analytics are ranked by recent ship velocity. Browse the "filtro alternatives" section above for the current picks, or visit /alternatives/filtro-r for the full list with editorial commentary on each.