Giter Club home page Giter Club logo

Crisis Cleanup Build Status

Crisis Cleanup is a collaboration platform that connects disaster recovery organization volunteers with people who need help after a disaster. The Crisis Cleanup platform has been used to connected 631,620 volunteers from 1,704 organizations with 80,905 households in 48 states/provinces and 143 disasters in 7 countries; a new disaster every two weeks.

Crisis Cleanup works best in a collaborative environment where multiple voluntary organizations and agencies work together and coordinate efforts. Because these organizations do not take orders from one another, Crisis Cleanup is designed to facilitate Collaborative Accountability models of inter-agency interaction, rather than command-and-control operations, or or heirarchical accountability models of interaction.

This is the repository for the main Crisis Cleanup web application, a collaborative map-based coordination tool. This implementation is built with Ruby on Rails, a PostgreSQL database and run on the Heroku stack. A newer version of Crisis Cleanup is under development, written in Python and Vue.js, located at: https://github.com/CrisisCleanup/crisiscleanup-web

Contribute

Other Project Stats (As of 2020-03-22)

  • 25%: Increase in volunteer efficiency through re-engagement and elimination of time spent on travel, coordination, collaboration, and management.
  • 20,226: Households that could not have been helped without Crisis Cleanup.
  • 4.9 Million: Number of volunteer hours facilitated.
  • 1,210,000: Volunteer hours that would have otherwise been wasted in management, travel, and overhead without Crisis Cleanup.
  • $526.4 Million: Minimum total market value of services to survivors.
  • $833: Value of each cleanup volunteer to his/her community.
  • $131.6 Million: Market value of services to survivors that would have otherwise been wasted in travel, management, overhead, and standing in lines.
  • $46,929: Money Crisis Cleanup has saved survivors every single day since July 18, 2012.
  • $9,586: Average commercial value of service to each homeowner.
  • $187: Return on investment to survivors, for every $1 invested in Crisis Cleanup. How we calculate these statistics: http://blog.crisiscleanup.org/2017/10/how-we-calculate-value-of-services.html

Supporters

We thank BrowserStack for supporting Crisis Cleanup by providing live and automated browser testing tools.

Crisis Cleanup's Projects

amazon-connect-streams icon amazon-connect-streams

[OLD] Amazon Connect Streams - a browser-based contact center integration API, typically with CRM systems.

connect-rtc-js icon connect-rtc-js

[OLD] Provide softphone support to AmazonConnect customers when they choose to directly integrate with our API and not using our web app.

crisiscleanup-2 icon crisiscleanup-2

[OLD] This version of the codebase was retired on March 27, 2020. Open Source Collaborative Disaster Recovery and Cleanup

crisiscleanup-3-web icon crisiscleanup-3-web

[OLD] Crisis Cleanup Version 3 Web Application based on Vue 2. This version was launched March 27, 2020 and retired March 10, 2023 when it was superseded by a Vue 3 version.

crisiscleanup-4-web icon crisiscleanup-4-web

Current Crisis Cleanup Web Application (Version 4) based on Vue 3. This version was launched March 10, 2023.

django-saml2-auth icon django-saml2-auth

[OLD] Django SAML2 Authentication Made Easy. Easily integrate with SAML2 SSO identity providers like Okta

maintenance-site icon maintenance-site

A static site repository to display a maintenance page during production downtime

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.