hmis
hmis: A python tool to visualize and analyze HMIS data - Published in JOSS (2017)
Science Score: 95.0%
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○CITATION.cff file
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Found 1 DOI reference(s) in JOSS metadata -
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2 of 4 committers (50.0%) from academic institutions -
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Published in Journal of Open Source Software
Repository
A set of Python tools to parse files from a standard dump of HMIS (Homeless Management Information System) data and do some simple analysis and visualization.
Basic Info
- Host: GitHub
- Owner: mattbellis
- License: mit
- Language: Python
- Default Branch: master
- Size: 2.53 MB
Statistics
- Stars: 3
- Watchers: 4
- Forks: 2
- Open Issues: 2
- Releases: 2
Metadata Files
README.md
hmis
A set of Python tools to parse files from a standard dump of HMIS (Homeless Management Information System) data and do some simple analysis and visualization.
hmis is written in python and developed by Sara Mahar (now at the University of San Francisco) and Matthew Bellis at Siena College.
More complete documentation can be found at readthedocs.
Requirements
- Python 2.7, 3.5, or 3.6
- NumPy >= 1.11.2
- Plotly >= 2.0.0
- Pandas >= 0.19.1
- Folium >= 0.3.0
- Geopy >= 1.10.0
Install
Install the latest version from Github.
git clone git@github.com:mattbellis/hmis.git
cd hmis
python setup.py install
Usage
This repository also contains a Jupyter Notebook where you can see some examples of the visualizations and analysis features of hmis-python.
Basic example
``` import hmis
If you are running this from the hmis directory (not hmis/hmis),
Python 3.5+
people = hmis.readdictionaryfile('testdata/hmistest_data.pkl')
or
Python 2.7
people = hmis.readdictionaryfile('testdata/hmistestdatapy27.pkl')
subset = hmis.selectbyage(people,lo=10,hi=50)
hmis.pretty_print(subset)
```
Owner
- Name: Matt Bellis
- Login: mattbellis
- Kind: user
- Website: http://www.mattbellis.com
- Repositories: 65
- Profile: https://github.com/mattbellis
JOSS Publication
hmis: A python tool to visualize and analyze HMIS data
Tags
python hmis homelessness homeless continuum of care open source data visualization data scienceGitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| saramahar | s****a@s****u | 72 |
| Matt Bellis | m****s@g****m | 38 |
| Matt Bellis | m****s@s****u | 13 |
| Alex Hanna | a****a@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 20
- Total pull requests: 1
- Average time to close issues: about 2 months
- Average time to close pull requests: about 2 hours
- Total issue authors: 3
- Total pull request authors: 1
- Average comments per issue: 1.35
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mattbellis (9)
- saramahar (7)
- alexhanna (4)
Pull Request Authors
- alexhanna (1)
