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-0.5.0.tar.gz (28.2 kB view details)

Uploaded Source

Built Distribution

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

pydartdiags-0.5.0-py3-none-any.whl (24.4 kB view details)

Uploaded Python 3

File details

Details for the file pydartdiags-0.5.0.tar.gz.

File metadata

  • Download URL: pydartdiags-0.5.0.tar.gz
  • Upload date:
  • Size: 28.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.6

File hashes

Hashes for pydartdiags-0.5.0.tar.gz
Algorithm Hash digest
SHA256 5481e21aecc36422f2b90cd643b0b7f0ff217fede1432cc6e6e3fec4179a49d9
MD5 32d38becfd5b7cdc9d4b626fad3f05f5
BLAKE2b-256 e7af7f920b795079e83dfd6c04c1008080cb5079ebabb15a56b24d61a444a185

See more details on using hashes here.

File details

Details for the file pydartdiags-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: pydartdiags-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 24.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.6

File hashes

Hashes for pydartdiags-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d526eb9e9008340a126effb92eb04934201e989e11fb2f33ea758bc2b0f794aa
MD5 c7213fc2336cdfeb89c82c5f9158e24b
BLAKE2b-256 ae4a1ab2ec8f349c3995201f20aa6c326290efbb75bc569a4b87c62056d6a761

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