{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/2"}],"enrichment":{"capability":"dbt-state is a dbt plugin that caches model execution results and skips redundant runs, reducing build time by reusing prior outputs.","skillfed_tags":["dbt-plugin","data-pipeline-optimization","caching"],"use_cases":["Accelerate CI/CD pipelines by skipping model rebuilds when upstream data hasn't changed.","Reduce cloud data warehouse costs by avoiding redundant SQL execution on unchanged models.","Speed up local development iteration by caching intermediate model results across dbt runs.","Enable incremental dbt workflows where only affected downstream models are recomputed after source updates.","Optimize scheduled dbt jobs by detecting and skipping models with no new input data."],"what_it_does":"dbt-state is a plugin for dbt that accelerates data transformation pipelines by caching model execution results and skipping runs that would produce identical outputs. It integrates into the dbt ecosystem and uses prior run state to determine which models need to execute, reducing redundant computation and shortening build times.\n\nThe plugin depends on dbt-core and a suite of supporting libraries including protobuf for serialization, grpcio for communication, and query-cache utilities for state management. It is actively maintained and requires Python 3.9 or later. The Apache 2.0 license permits use in commercial and proprietary projects.","worth_installing":"Yes, if you run dbt pipelines frequently and want to reduce execution time and compute costs. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Verify dbt-core compatibility and review how caching integrates with your workflow before deploying to production."},"id":"dbt-state","links":{"html":"https://skillfed.io/packages/dbt-state","md":"https://skillfed.io/packages/dbt-state.md","pypi":"https://pypi.org/project/dbt-state/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"dbt-state","python_support":"supports_current","summary":"dbt plugin that skips redundant model executions by caching results from previous runs"},"popularity":{"monthly_downloads":679147,"position":5372,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.43.1"}