Comparte Ride was a carpooling platform developed on 2016 as an alternative for Mexico City inhabitants during an air pollution alert where the car usage was restricted and over 1.1 million cars were banned from the streets.
During the environmental contingency a lot of people opted for carpooling within their own communities but most of the information about rides being shared was lost. As an immediate solution, some friends and I decided to build a very simple website (using Django) to gather and display information about this rides. The platform quickly got some attention:
- Public TV interview
- Press articles: El Financiero, Univision, El Universal, UNO TV
- After-math website: inventivehack.com/comparte-ride
We believe Comparte Ride's popularity grew so fast because of the fact that groups where private and that the only way to join a group was by getting invited by someone that was already a member.
I instructed an advanced course of Django at Platzi where the main goal was to learn how to professionally build a REST API. I choose this project because at the moment I was planning the course a bunch of people reached out to Comparte Ride's inactive social networks asking what happened to the project, and since it was also a very simple project I thought it was a nice idea that developers from around the globe learned to build an API around it.
I stopped working for this project after the course finished. You can review the code up to the course progress in the releases section, it is labeled as Deployment-bundle.. You can also check the deployment guide here.
To start working on this project I highly recommend you to check pydanny's Django Cookiecutter documentation on how to get this project up and running locally. If you don't want to do so, just run:
docker-compose -f local.yml build
docker-compose -f local.yml up
I'll be happily accepting pull requests from anyone, and if you are a Platzi student I HIGHLY ENCOURAGE YOU TO CONTRIBUTE!
This that are missing right now:
- Add tests and coverage implementations
- Remove weak Token Authorization system
- Implement more async and periodic tasks to improve the rating system
- A UI!
Suggestions are welcome!
If this project get enough attention and participation, I'll be happy to host it (the UI is required.)
Please stick to the LICENSE, you can read a TL;DR here.
Again, this is a project I liked a lot and I will love to see it live again. Feel free to modify, distribute, use privately, etc (READ THE LICENSE) as you please just include the Copyright and the LICENSE.
- Pablo Trinidad | CS Student at UNAM's Faculty of Science | [email protected]