Portfolio concentration
71%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
29 repos
Visible snapshot
7 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (14), Unknown (8), Go (2)
Average size
41
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
71%
of the visible star count comes from this organization's top three repositories.
41
stars per repository in this same snapshot.
Python
is the most common language here, with 7 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 29 repositories.
Organization pages work best when you separate portfolio breadth from flagship concentration. In Dagster's case, the visible top three repositories account for about 71% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (14), Unknown (8), Go (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | dagster-io/dagster-open-platform Dagster Labs' open-source data platform, built with Dagster. | Python | 473 |
| 2 | dagster-io/skills A collection of AI skills for working with Dagster | Python | 199 |
| 3 | dagster-io/mdsfest-opensource-mds Demo Project for Open Source MDS | Python | 171 |
| 4 | dagster-io/awesome-dagster All things awesome related to Dagster! | 147 | |
| 5 | dagster-io/community-integrations Community supported integrations for the Dagster platform. | Python | 57 |
| 6 | dagster-io/talks | Shell | 52 |
| 7 | dagster-io/dagster-quickstart Get started with Dagster ASAP | Python | 16 |
| 8 | dagster-io/dagster-modal-demo Orchestrate Modal and OpenAI workloads with Dagster | Python | 13 |
| 9 | dagster-io/dagster_llm_finetune | Python | 12 |
| 10 | dagster-io/ebook-scaling-data-teams | Python | 10 |
| 11 | dagster-io/terraform-provider-dagsterplus [WIP] A Terraform provider for Dagster+ | Go | 7 |
| 12 | dagster-io/dagster-pipes-java Java implementation of the Dagster Pipes protocol (prototype) | Java | 6 |
| 13 | dagster-io/airlift-tutorial Tutorial code for airlift. | Python | 6 |
| 14 | dagster-io/data-mesh-demo | Python | 6 |
| 15 | dagster-io/dagster-databricks-components-demo Demonstration of using a Databricks job Component in Dagster | Python | 3 |
| 16 | dagster-io/pulumi-dagsterplus [WIP] A Pulumi provider for Dagster+ | Go | 2 |
| 17 | dagster-io/insights-quickstart-dbt-snowflake | Python | 2 |
| 18 | dagster-io/dagster-nanochat | Python | 1 |
| 19 | dagster-io/homebrew-tap | Ruby | 1 |
| 20 | dagster-io/jaffle-dashboard Example dashboard using Evidence | 1 | |
| 21 | dagster-io/dagster-spam-filter A companion repo for the Dagster tutorial found at https://dagster.io/blog/dagster-spam-filter | Python | 1 |
| 22 | dagster-io/fake-driven-testing | 0 | |
| 23 | dagster-io/dagster-erk-backing-store Backing store for erk entities for use in the dagster-io/dagster codebase | 0 | |
| 24 | dagster-io/cronerator Python package for generating vixie cron schedules using the cron rust crate | Rust | 0 |
| 25 | dagster-io/integrations-extras Community developed integrations and plugins for the Datadog Agent. | 0 | |
| 26 | dagster-io/oss-metadata-to-plus-example This example demonstrates how to replicate metadata from an existing Dagster open source instance in OSS to a new Dagster+ project. | 0 | |
| 27 | dagster-io/jaffle-platform | 0 | |
| 28 | dagster-io/basic-dbt-project A basic dbt project used for our dbt integration guide | 0 | |
| 29 | dagster-io/dagre Directed graph layout for JavaScript | JavaScript | 0 |
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.