Pokemon API and Analytics Platform using Python, Flask and MongoDB

Overview

My vision for this project is to have a data analysis platform that uses Pokemon data. So far it just has an API for getting Pokemon data. The long term goal is to have a more complete platform containing statistics, visualization, and machine learning applications about the series.

API Reference

Get Pokemon

Returns an specific Pokemon by either its national id or name

GET pokemon/api/v1.0/pokemon/{national_id}

GET pokemon/api/v1.0/pokemon/{name}

Each Pokemon has the following fields:

• name
• national_id
• primary_type
• secondary_type
• height
• weight
• region
• base_experience
• catch_rate
• hp
• attack
• special_attack
• defense
• special_defense
• speed
• total
• hp_ev
• attack_ev
• special_attack_ev
• defense_ev
• special_defense_ev
• speed_ev
• egg_groups
• male_ratio
• egg_cycles
• female_ratio
• base_happiness

Get national Pokedex

Returns the national Pokedex (718 Pokemon) in JSON format.

GET /pokemon/api/v1.0/pokedex

Get regional Pokedex

Returns the Pokedex of a specific region (Kanto, Johto, Hoenn, Sinnoh, Unova and Kalos).

GET /pokemon/api/v1.0/pokedex/{region}

Notes

This is a work in progress. I will be adding new features to the API, and to the platform in general in the future. A development version of the app is found here.