The latest recorded release of dagster-io/dagster is v1.13.27. Dagster is an orchestration platform that supports the development, operation, and observability of data assets. It is a way to declare and manage targets such as tables, datasets, machine learning models, and reports as Python functions. However, the provided materials contain no changes for v1.13.27, so what was added or fixed in this version cannot be confirmed.
The central focus of this repository is data assets and their relationships rather than individual jobs. It automates pipelines based on dependencies between assets, and supports job execution, scheduling, and observability. Lineage is metadata that shows which processes and relationships data passed through to be produced. The README explains that Dagster helps develop and maintain data assets with this lineage and observability included. The implementation language is Python and the license is Apache-2.0.
What the materials confirm is only the data-asset-centered feature scope and the release version v1.13.27. No changelog or improvement effect is given for this release, so there is no basis for judging that any specific feature was newly added. That this is a project for data pipeline orchestration is clear, but without a change record it is hard to gauge the concrete value of this version.