A package providing mappings of the research software sustainability space.
Project description
Resosuma
resosuma (short for research software sustainability map) is a package for Python 3 which provides a data model (directed graph) for activities in the research software sustainability space (“the space”).
In the graph, actors (i.e., entities that act within the space) and actees (i.e., entities which are acted on) are represented as nodes, and actions are represented as edges.
Currently, a resosuma model can be instantiated by reading the data from 3-column CSV, where the first column is the actor of an action, the second column is the action itself, and the third column is the actee of the action.
Requirements
resosuma requires Python 3 (tested against 3.4, 3.5, 3.6).
Installation
Install resosuma with pip:
pip install resosuma
Usage
To instantiate a resosuma model of type ActivityGraph, you can call:
from resosuma.graph.activitygraph import ActivityGraph graph = ActivityGraph() graph.read_csv(csvpath)
Once the model is instantiated, you can inspect it via:
graph.get_activities() graph.get_nodes()
Scripts
visualize.py visualizes the model via graphviz.:
usage: visualize.py [-h] csv_file output {svg,pdf,png} positional arguments: csv_file The path of the input CSV file output The path of the output file {svg,pdf,png} The output format optional arguments: -h, --help show the help message and exit
How to cite
The metadata necessary for citing resosuma can be found in the CITATION.cff file.
Contribute
This project welcomes contributions. Please suggest features and report bugs via issues.
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
File details
Details for the file resosuma-0.2.0.tar.gz
.
File metadata
- Download URL: resosuma-0.2.0.tar.gz
- Upload date:
- Size: 9.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b50c711f8127e0b43c4b241a0b6e1ce1054a52f762ee2ce7f7ebcb2055cf75d |
|
MD5 | 492df7700eb8f2e3d1de552b50621677 |
|
BLAKE2b-256 | 839e156c910d1d40d3aaf4660b1afd2260a103b2a616b90205cfdda2bd590dd0 |
File details
Details for the file resosuma-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: resosuma-0.2.0-py3-none-any.whl
- Upload date:
- Size: 8.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8e6eafa459f8c14b411409bc28429c3ae957b2c6d1a175357f275e6551c4aec3 |
|
MD5 | 7490f9492e49927e5c3586931092dbab |
|
BLAKE2b-256 | 10df2da5333de1f52c8d707d9d5888be613c9b49ebbd79ce7a30f0bce18f966a |