Dagster version 0.14.0 introduces a more mature software-defined asset system, allowing users to explicitly declare tables, ML models, and datasets that they want to exist, with tightly linked assets to computations that generate their contents. This enables a reconciliation-based approach to data orchestration, adds a new dimension to data observability, and helps make Python a native citizen of the Modern Data Stack. The release also includes new integrations such as Dagster-Airbyte and Dagster-Pandera, improved operational maturity with a new Dagit homepage and auto-start sensors and schedules, and various other features and improvements.