Giter Club home page Giter Club logo

docs's Introduction

PastVu

GitHub package.json version Docker Image CI

PastVu is an online platform for gathering, geo-tagging, attributing and discussing retro photos. A look at the history of humanity habitat.

History

This project was started in 2009 by Ilya Varlamov and Alexey Duk. Initially it was dedicated to historical photos of Moscow (oldmos.ru). As community was growing, soon a second site for historical photos of St. Petersburg was created (oldsp.ru). In 2013 two projects were merged and migrated into global scope platform PastVu. Principal maintainer and software architect of the new platform became Pavel Klimashkin. In 2020 the project code became open source, this attracted more people to participate and contribute. Over the years, many people have uploaded, attributed and geo-located images (photographs, paintings, drawings), with support and leading by regional and global moderators and administrators team.

Technology

The project is built using JavaScript stack containing components:

  • MongoDB database and Redis for runtime data storage
  • Node.js with Express web application framework at back-end
  • Socket.IO provides realtime client-server communication
  • Pug is a template engine
  • Knockout client-side library is implementing MVVM architecture pattern
  • Leaflet is used for maps display and interaction

Other dependencies can be found at package.json and public/js/lib/.

We are using GitHub tools for CI/CD pipeline and release management.

Documentation

PastVu documentation is located at the dedicated project: https://docs.pastvu.com/en/

All development and communication for this documentation resources takes place in docs repository. We also welcome contributing to documentation, please read Improve docs for details.

Contributing

We are grateful to the PastVu users community for adding photos and discussing them, helping to identify locations, improving information accuracy, taking resposibility by moderating uploaded content.

Our contributing guidance contains more information how one can participate in the project including help with development.

We expect all project participants to follow Contributor Code of Conduct

License

  • GNU Affero General Public License (AGPL) v3 or later. See COPYING for the full license text.
  • Test database used for development setup is licensed under ODbL 1.0, geographic and adminstrative boundaries data it contains: © OpenStreetMap contributors.

docs's People

Contributors

aeifn avatar dependabot[bot] avatar kabalin avatar

Stargazers

 avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Forkers

kabalin

docs's Issues

Add references to documentation

As we have a dedicated documentation site, it is a time to refer to it where applicable.

App:

App repository:

  • Review README, add information about documentation
  • Review CONTRIBUTING, refer to Contributing docs
  • Decide if we need repo Wiki functionality at all. It can be disabled completely in repo settings or modified to contain the link to documentation. Leaving this for @paul-k-pastvu to decide.

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.