Skip to main content

Observation Sequence Diagnostics for DART

Project description

License codecov PyPI version Code style: black

pyDARTdiags

pyDARTdiags is a Python library for observation space diagnostics for the Data Assimilation Research Testbed (DART).

pyDARTdiags is under initial development, so please use caution. The MATLAB observation space diagnostics are available through DART.

pyDARTdiags can be installed through pip: https://pypi.org/project/pydartdiags/
Documentation : https://ncar.github.io/pyDARTdiags/

Contributing

Contributions are welcome! If you have a feature request, bug report, or a suggestion, please open an issue on our GitHub repository. Please read our Contributors Guide if you would like to contribute to pyDARTdiags.

License

pyDARTdiags is released under the Apache License 2.0. For more details, see the LICENSE file in the root directory of this source tree or visit Apache License 2.0.

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

pydartdiags-0.6.5.tar.gz (40.7 kB view details)

Uploaded Source

Built Distribution

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

pydartdiags-0.6.5-py3-none-any.whl (32.0 kB view details)

Uploaded Python 3

File details

Details for the file pydartdiags-0.6.5.tar.gz.

File metadata

  • Download URL: pydartdiags-0.6.5.tar.gz
  • Upload date:
  • Size: 40.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.6

File hashes

Hashes for pydartdiags-0.6.5.tar.gz
Algorithm Hash digest
SHA256 87ba0eb196c01beea07f8c6f4ea205be114b5a27e3ecf059bcd74111943945c7
MD5 a1ef89ec432b2d21073f71f92076bb59
BLAKE2b-256 216c08b26b3f64280f2abddc03c133d5c2fed874f2be2649472603154c77db15

See more details on using hashes here.

File details

Details for the file pydartdiags-0.6.5-py3-none-any.whl.

File metadata

  • Download URL: pydartdiags-0.6.5-py3-none-any.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.6

File hashes

Hashes for pydartdiags-0.6.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4abef657d8eb4c1ace1f14bb91db1b0d3cb83bb757850c54d9791405acc813bc
MD5 af48cc953cd3a1bcb9ff78b4036afa49
BLAKE2b-256 757cb8366871a04ba32511f7c424ffb2629efed4eb75555bf01eef36bb09ccef

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