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-0.6.4.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-0.6.4-py3-none-any.whl (32.0 kB view details)

Uploaded Python 3

File details

Details for the file pydartdiags-0.6.4.tar.gz.

File metadata

  • Download URL: pydartdiags-0.6.4.tar.gz
  • Upload date:
  • Size: 40.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pydartdiags-0.6.4.tar.gz
Algorithm Hash digest
SHA256 86df30673190b7fd844fc0c34e094d787a93995e6aa50a9187ea28dce26d023e
MD5 c243729f1431460fdef57efec2c3efb9
BLAKE2b-256 1dcc957caa9f2978013f16e1903cb7200cfa82f4046a76079a9a06279c5c8cf9

See more details on using hashes here.

File details

Details for the file pydartdiags-0.6.4-py3-none-any.whl.

File metadata

  • Download URL: pydartdiags-0.6.4-py3-none-any.whl
  • Upload date:
  • Size: 32.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pydartdiags-0.6.4-py3-none-any.whl
Algorithm Hash digest
SHA256 8afc7f16efe12035ca0e4088c174630843b1b7657ef13d574ac35b680a93588b
MD5 720aaf00e2c0b6c1520da720fca503bb
BLAKE2b-256 1ff079966ea8044ca64a09905b3b40afaf52c70906c7d9e22b4bdba3e7107994

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