Skip to main content

Velarium IR to Spark-like schemas — scaffold

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

granitus

PyPI version License: MIT

Role in Velarium: IR → Spark-like schemas — lower Velarium IR into columnar / distributed schema definitions (e.g. Spark StructType or similar) for data pipelines.

PyPI pypi.org/project/granitus (scaffold)
Repository github.com/eddiethedean/velarium
Python 3.10+ (when implemented)
Status Scaffold — no emitter yet
Related velarium on PyPI — IR contract; velotype on PyPI — parallel .pyi backend

Planned use cases

  • ETL and big-data jobs that need types aligned with Python stubs and JSON IR
  • Columnar systems that benefit from a single IR → schema mapping

See also

License

MIT — see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

granitus-0.7.0.tar.gz (2.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

granitus-0.7.0-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file granitus-0.7.0.tar.gz.

File metadata

  • Download URL: granitus-0.7.0.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for granitus-0.7.0.tar.gz
Algorithm Hash digest
SHA256 372d75a1bf21030b7e52c02fce1e7b56da0ac11f379b5a530863918cbace6dcf
MD5 59db913244579d121c8e13eb13c3230a
BLAKE2b-256 6e85fe3e615059f87778505ef32fa79fd24c9fda792227507d869a0b55af5268

See more details on using hashes here.

File details

Details for the file granitus-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: granitus-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 2.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for granitus-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6bc5bcb5898c132a7acce09b14c2362c263b05bf9eb3264253db199a583388ad
MD5 9598262710bba370f1d1ced9eb84d988
BLAKE2b-256 15561d7a8d4b391f2a9bbdc672fbedd7452a48ca57ae650a1d72eb980295553e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page