No project description provided
Project description
Ensemble Tools 
This package provides core functionality to Python-based tools developed within the framework of Waves to Weather - Transregional Collaborative Research Project (SFB/TRR165).
Shared functionality includes:
- Clustering (
enstools.clustering) - Interpolation (
enstools.interpolation) - Reading and Writing data (
enstools.io) - Retrieval of open data (
enstools.opendata) - Post-processing (
enstools.post) - Scores (
enstools.scores)
Installation
pip is the easiest way to install enstools along with all dependencies.
pip install enstools
Documentation
Explore our documentation.
Acknowledgment and license
Ensemble Tools (enstools) is a collaborative development within
Waves to Weather (SFB/TRR165) coordinated by the subproject
Z2 and funded by the
German Research Foundation (DFG).
A full list of code contributors can CONTRIBUTORS.md.
The code is released under an Apache-2.0 licence.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file enstools-2025.5.0.tar.gz.
File metadata
- Download URL: enstools-2025.5.0.tar.gz
- Upload date:
- Size: 103.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
54f50e6f0c20d7b29841348e7914e1787f094e1316088583be857fabf8b827fb
|
|
| MD5 |
8fe2d4717240088982b1cc929f0bf84b
|
|
| BLAKE2b-256 |
d2d26d84f71bbd1feaf78c7e810380f864820264c186cb11406643f724e3053e
|
File details
Details for the file enstools-2025.5.0-py3-none-any.whl.
File metadata
- Download URL: enstools-2025.5.0-py3-none-any.whl
- Upload date:
- Size: 128.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
14f3b452ce6fcff9b845de44e33f840c6065efee0689660d893680782842a48a
|
|
| MD5 |
17533acdbffe1d4b77480db81c00d005
|
|
| BLAKE2b-256 |
908bb31a8044ff81cc83af28bea5e61bed2806a9626bd5f6889d9ac2f7595900
|