The Safe Water Project
A team of volunteers at Code for Boston who are using data modeling, data visualization and machine learning to predict, visualize, and share data about the presence of hazardous drinking and surface water contaminants in the United States.
https://github.com/codeforboston/safe-water
Category: Natural Resources
Sub Category: Water Supply and Quality
Keywords from Contributors
archived transforms measur generic animals conversion observation optimize compose projection
Last synced: about 10 hours ago
JSON representation
Repository metadata
We are using data science to analyze water quality issues.
- Host: GitHub
- URL: https://github.com/codeforboston/safe-water
- Owner: codeforboston
- License: mit
- Created: 2018-09-12T01:49:23.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T07:45:34.000Z (over 2 years ago)
- Last Synced: 2025-04-10T01:32:00.147Z (18 days ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 51.1 MB
- Stars: 42
- Watchers: 10
- Forks: 64
- Open Issues: 5
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.md
- License: LICENSE
README.md
Safe Water Project 🚰
The Safe Water Project is a team of volunteers at Code for Boston who are using data modeling, data visualization and machine learning to predict, visualize, and share data about the presence of hazardous drinking and surface water contaminants in the United States.
We are interested in collaborating with health and environmental organizations.
Representatives for nonprofit organizations and government agencies interested in our work should contact Andrew at [email protected]. Please feel free to also join our Slack channel at Code for Boston and meet the team.
Our Work
Institutional Partners
The Safe Water Project works with Boston-based community partners. These organizations have needs related to data infrastructure and data science, and we provide our expertise in assisting them.
Currently we work with the Charles River Watershed Association. We help them deploying their predictive model, visualizing and communicating their data, as well as better understanding their constituents. You can learn more about this project in the related folder.
Most volunteers work in python with pandas. Some volunteers also use R, or PHP.
Project Materials and Communications
Join Us
If you are interested in volunteering for the Safe Drinking Water Project:
-
Join the Slack. The #water channel has various pinned items that will be of use for getting started.
-
Read the docs. The
docs/
folder contains more information about the project, plus steps on how to set up the project so you can start contributing. Click here for the docs. -
Meet us on Tuesday nights. We would love to meet you! We meet alongside other Code for Boston teams every Tuesday in Kendall Square, Cambridge, MA. Sign up to attend Code for Boston events here.
Owner metadata
- Name: Code for Boston
- Login: codeforboston
- Email: [email protected]
- Kind: organization
- Description: Improving civic life and social good in Greater Boston.
- Website: https://www.codeforboston.org
- Location: Boston, MA
- Twitter: codeforboston
- Company:
- Icon url: https://avatars.githubusercontent.com/u/2533182?v=4
- Repositories: 119
- Last ynced at: 2024-04-15T11:18:18.984Z
- Profile URL: https://github.com/codeforboston
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers metadata
Last synced: 5 days ago
Total Commits: 172
Total Committers: 29
Avg Commits per committer: 5.931
Development Distribution Score (DDS): 0.866
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Daniel Reeves | x****s@g****m | 23 |
François Paupier | f****r@g****m | 20 |
François | f****y@g****m | 18 |
joshua | j****n@g****m | 16 |
Dominic Surrao | d****o@D****l | 11 |
Bhushan Choudhari | 3****i | 9 |
Lewis Staples | l****s@g****m | 9 |
anhase | a****r@g****m | 8 |
Manuel Odendahl | w****n@r****m | 7 |
Jeff Langevin | j****n@g****m | 6 |
Nicholas Jin | n****n@g****m | 6 |
dependabot[bot] | 4****] | 6 |
Ewan Stephens | E****6@g****m | 5 |
Harris Lapiroff | h****s@c****m | 4 |
Kacper Wardega | k****r@w****m | 4 |
jsecol | 4****l | 4 |
Aaron Evan-Browning | a****n@g****m | 3 |
Srihari | s****1@g****m | 2 |
Ashir Borah | a****h@b****g | 1 |
BabarBaig | B****g@o****m | 1 |
Dawn Graham | d****m@g****m | 1 |
Dominic Surrao | d****o@h****m | 1 |
SJ Choi | 5****a | 1 |
Victor Clarke | v****2@g****m | 1 |
h-clef | m****n@g****m | 1 |
kkliu5 | k****5@g****m | 1 |
laruec | c****1@g****m | 1 |
Mia | M****a@M****l | 1 |
Victor Clarke | v****e@V****l | 1 |
Committer domains:
- broadinstitute.org: 1
- wardega.com: 1
- chromamine.com: 1
- ruinwesen.com: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 45
Total pull requests: 87
Average time to close issues: 9 months
Average time to close pull requests: 6 days
Total issue authors: 7
Total pull request authors: 27
Average comments per issue: 1.11
Average comments per pull request: 0.29
Merged pull request: 75
Bot issues: 0
Bot pull requests: 15
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- de-la-viz (25)
- russmatson (8)
- dwreeves (6)
- wesen (2)
- jdseags (2)
- nicholasjin (1)
- hiclef (1)
Top Pull Request Authors
- dependabot[bot] (15)
- dsurrao (11)
- dwreeves (10)
- de-la-viz (7)
- EwanStephens (5)
- nicholasjin (5)
- LewisStaples (4)
- bhushan-choudhari (3)
- wesen (3)
- jmclellan (3)
- fpaupier (2)
- VictorClarke (2)
- harrislapiroff (2)
- srihari2761 (2)
- polanskers (1)
Top Issue Labels
- research / conceptualization (11)
- good first issue (9)
- Documentation (9)
- enhancement (6)
- question (6)
- data transformation (4)
- Design (4)
- help wanted (4)
- data viz (4)
- data exploration (4)
- SDWIS (3)
- PRIORITY (3)
- data extraction (3)
- bug (1)
- PM (1)
Top Pull Request Labels
- dependencies (15)
- python (8)
Dependencies
- ipython *
- jupyter *
- matplotlib *
- pandas *
- requests *
- sklearn *
- statsmodels *
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.3.0
- backcall ==0.2.0
- bleach ==3.3.0
- certifi ==2020.12.5
- cffi ==1.14.4
- chardet ==3.0.4
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- entrypoints ==0.3
- idna ==2.8
- importlib-metadata ==3.4.0
- ipykernel ==5.4.3
- ipython ==7.2.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.6.3
- jedi ==0.18.0
- jinja2 ==2.11.3
- joblib ==1.0.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.11
- jupyter-console ==6.2.0
- jupyter-core ==4.7.1
- jupyterlab-pygments ==0.1.2
- jupyterlab-widgets ==1.0.0
- kiwisolver ==1.3.1
- markupsafe ==1.1.1
- matplotlib ==3.0.2
- mistune ==0.8.4
- nbclient ==0.5.1
- nbconvert ==6.0.7
- nbformat ==5.1.2
- nest-asyncio ==1.5.1
- notebook ==6.2.0
- numpy ==1.20.0
- packaging ==20.9
- pandas ==0.23.4
- pandocfilters ==1.4.3
- parso ==0.8.1
- patsy ==0.5.1
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prometheus-client ==0.9.0
- prompt-toolkit ==2.0.10
- ptyprocess ==0.7.0
- pycparser ==2.20
- pygments ==2.7.4
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- python-dateutil ==2.8.1
- pytz ==2021.1
- pyzmq ==22.0.2
- qtconsole ==5.0.2
- qtpy ==1.9.0
- requests ==2.21.0
- scikit-learn ==0.24.1
- scipy ==1.6.0
- send2trash ==1.5.0
- six ==1.15.0
- sklearn ==0.0
- statsmodels ==0.9.0
- terminado ==0.9.2
- testpath ==0.4.4
- threadpoolctl ==2.1.0
- tornado ==6.1
- traitlets ==5.0.5
- typing-extensions ==3.7.4.3
- urllib3 ==1.24.3
- wcwidth ==0.2.5
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- zipp ==3.4.0
Score: 7.217443431696532