Stage-based scientific workflows using freud
Project description
Introduction
flowws-freud is an in-development set of modules to create reusable
pipelines for scientific simulations using
freud.
flowws-freud is being developed in conjunction with
flowws and
flowws-analysis. See their
documentation for an overview of how to use the modules found here and
other useful modules for analysis and visualization of simulation
data, respectively.
Installation
Install flowws-freud from PyPI:
pip install flowws-freud
Alternatively, install from source:
pip install git+https://github.com/klarh/flowws-freud.git#egg=flowws-freud
Examples
Consult the
flowws-examples project
for examples using flowws-freud modules.
API Documentation
Browse more detailed documentation online or build the sphinx documentation from source:
git clone https://github.com/klarh/flowws-freud
cd flowws-freud/doc
pip install -r requirements.txt
make html
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 flowws-freud-0.3.0.tar.gz.
File metadata
- Download URL: flowws-freud-0.3.0.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
449322aaac12abb105371809199b39a0e5d51a5a31ea8449d035bbd6e2281f2b
|
|
| MD5 |
0baaee0a21c3edbcf6bfc59b0524c239
|
|
| BLAKE2b-256 |
1044729fd1bd7491c988ce8861ea239881933085a4605043f364801461a7c949
|
File details
Details for the file flowws_freud-0.3.0-py3-none-any.whl.
File metadata
- Download URL: flowws_freud-0.3.0-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
17c89c3d72a31b5e26f41984e80b867adff4adf9f393ca69804294860c6c6921
|
|
| MD5 |
c0aa2622067475cd1ccc599f21829f8d
|
|
| BLAKE2b-256 |
081011d6bd15c3cc6d15152eefafca5455d69b4114fa6ca3b430668d2fb1bd0a
|