Community¶
DataFoundry is built for teams that want data-agent workflows to be reproducible, governable, and easy to operate. The community space collects the channels and contribution paths for users, integration developers, and scenario partners.
Contact us
Report issues, ask integration questions, and propose datasource or workflow needs.
Community group
Scan the README QR code to join the community group for product and adoption discussions.
Contributing
Contribute focused fixes, documentation improvements, examples, and product feedback.
Scenario cases
Share realistic data-agent scenarios that can become reproducible demos or docs cases.
Community scope¶
The project is especially interested in practical feedback from AI infrastructure builders, data platform teams, analytics engineers, and product teams evaluating governed agent workflows.
Good community contributions usually include:
- A concrete data workflow, datasource, or analysis task.
- Reproduction steps, sample schema, screenshots, logs, or trace output.
- A clear distinction between current behavior, expected behavior, and product ideas.
- No secrets, production credentials, customer data, or private business records.
Working principles¶
DataFoundry docs and examples should make it clear which capabilities are already implemented, which workflows are experimental, and which ideas belong on the roadmap. Community discussions are most useful when they stay evidence-based and reproducible.