Skip to main content

High Performance solving suite for the Pickup and Delivery Problem and its related extensions.

Project description



PyPI Documentation Travis (.org) branch Codecov GitHub GitHub stars


High Performance solving suite for the Pickup and Delivery Problem and its related extensions.

IMPORTANT: This project is still under its early stage of development. So it's not recommended yet to use on real world projects.

This library has been inspired (and created) by a Final Degree Project, which you can read at:

Getting Started


  • python>=3.7


pip install jinete

Here is a simple example about how to run jinete to solve a HashCode 2018 Online Qualification instance.

import jinete as jit

file_path = './res/datasets/hashcode/'

solver = jit.Solver(
        'file_path': file_path,
        'formatter_cls': jit.HashCodeLoaderFormatter
result = solver.solve()
# ...


You can find the documentation at:


First of all, you need to create a virtualenv:

python -m venv venv
source venv/bin/activate

Then install the library and all its extra dependencies (with the all option):

pip intall -e .[all]

To run code style checks you can simply type:


To perform the tests with coverage you can need to type:

coverage run -m unittest discover tests


This project is licensed under MIT license.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jinete-0.1.0.tar.gz (53.7 kB view hashes)

Uploaded Source

Built Distribution

jinete-0.1.0-py3-none-any.whl (130.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page