hatyan is a tidal analysis and prediction tool of Rijkswaterstaat

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arthurvd from gravatar.com arthurvd Avatar for mydeltares from gravatar.com mydeltares Avatar for priscavdsluis from gravatar.com priscavdsluis Avatar for veenstrajelmer from gravatar.com veenstrajelmer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (GNU Lesser General Public License v3 (LGPLv3))
  • Author: Jelmer Veenstra
  • Tags hatyan, tidal analysis, tidal prediction
  • Requires: Python >=3.8
Classifiers

Project description

codecov pytest-hmcenv pytest-py38 pytest-py39 pytest-py310 pytest-py311 sigrid-publish pypi-upload Supported versions Quality Gate Status Binder DOI

hatyan

A Python package for harmonic tidal analysis and prediction, based on the FORTRAN version and developed for Rijkswaterstaat. Hatyan contains the methods to derive water level extremes (high and low waters) and several other water level indicators (Kenmerkende Waarden). Furthermore, hatyan provides easier access to Rijkswaterstaat data via their data distribution layer (DataDistributieLaag, DDL).

Information

  • install with pip install hatyan -U
  • online documentation with contributing guide, tutorials/examples, API reference and a convenient search box.
  • docs folder with background information
  • Bug or feature request? Create a GitHub issue

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arthurvd from gravatar.com arthurvd Avatar for mydeltares from gravatar.com mydeltares Avatar for priscavdsluis from gravatar.com priscavdsluis Avatar for veenstrajelmer from gravatar.com veenstrajelmer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (GNU Lesser General Public License v3 (LGPLv3))
  • Author: Jelmer Veenstra
  • Tags hatyan, tidal analysis, tidal prediction
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

2.9.0

2.8.0

This version

2.7.0

2.6.0

2.5.64

2.5.59

2.5.49

2.5.42

2.5.36

2.5.31

2.5.0

2.3.0

Download files

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

Source Distribution

hatyan-2.7.0.tar.gz (118.2 kB view details)

Uploaded Source

Built Distribution

hatyan-2.7.0-py3-none-any.whl (124.9 kB view details)

Uploaded Python 3

File details

Details for the file hatyan-2.7.0.tar.gz.

File metadata

  • Download URL: hatyan-2.7.0.tar.gz
  • Upload date:
  • Size: 118.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for hatyan-2.7.0.tar.gz
Algorithm Hash digest
SHA256 e50e8595c1374e33d1651822622e355bf7c9ed463d73a53448d337aa2cf1c22d
MD5 0bad66b0c0e0cb32a3695bf4b88caf62
BLAKE2b-256 34afff1cf9027994e4989e1687cfeaff3349b4ee6fc83c3971a000860ccb1a1a

See more details on using hashes here.

File details

Details for the file hatyan-2.7.0-py3-none-any.whl.

File metadata

  • Download URL: hatyan-2.7.0-py3-none-any.whl
  • Upload date:
  • Size: 124.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for hatyan-2.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 409c530d7abf01a2894942da4d08508d125d7a4e82b4e17bd102f6c7e9d7075e
MD5 d3a4447aa2a9b26ff48398419b174bf8
BLAKE2b-256 96d114daf7043e3578e93128ddb4899fdeef325ef8e5b62721d3fcd56c167f1d

See more details on using hashes here.

Supported by

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