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acsplit

Split accounts in rocketmap

darkdays

defenitelynotpogoicons

entropy

Pokemon GO account generator

equals.js

Simple item to check if two values are equal

goldenstar

The best Pokemon GO Desktop Scanner!

ibuckshot5.github.io

Web design projects

icemap

A useful .NET map for Pokemon GO

jungis-source-code

Self Explanatory, Jungis source code

mass-proxy-checker

Mass proxy checker for RocketMap and Monocle

monocle

PoGo mapper and notifier

mrmime

new-version-forced

Bot to notify of forced versions for Pokemon GO

noodletools

Noodle Tools API

omastar

The Advanced Pokemon GO API

outlined-artificial

pgoapi

Unofficial PokemonGO API in Python

pgoapi-cpp

Pokemon GO API in C++

pgscout

Scan for Pokemon stats. See my blog for news on my Pokémon GO related development:

pikaccount

A mass POGO account creator... again...

pogo-sprites

Sprites for Pokemon GO

pogo_decoded_by_apktool

pokemon go 0.57 decoded

pogo_source_from_jadx

pokemon go 0.57 decoded

pogobuf

:rocket: pogobuf, a Pokémon Go Client Library for node.js. Install: npm i pogobuf-vnext

pogodecodedbyapktool

pgo 0.57.2

pogolib

A community-driven PokémonGo API Library written in C#.

pogomap-jsons

JSON for Pogomap

pokealarm

PokeAlarm is a third party extension for RocketMap that allows you to receive external notifications via the service of your choice

pokedata

In this project you will scrape as much data as you can get about the *actual* sightings of Pokemons. As it turns out, players all around the world started reporting sightings of Pokemons and are logging them into a central repository (i.e. a database). We want to get this data so we can train our machine learning models. You will of course need to come up with other data sources not only for sightings but also for other relevant details that can be used later on as features for our machine learning algorithm (see Project B). Additional features could be air temperature during the given timestamp of sighting, location close to water, buildings or parks. Consult with Pokemon Go expert if you have such around you and come up with as many features as possible that describe a place, time and name of a sighted Pokemon. Another feature that you will implement is a twitter listener: You will use the twitter streaming API (https://dev.twitter.com/streaming/public) to listen on a specific topic (for example, the #foundPokemon hashtag). When a new tweet with that hashtag is written, an event will be fired in your application checking the details of the tweet, e.g. location, user, time stamp. Additionally, you will try to parse formatted text from the tweets to construct a new “seen” record that consequently will be added to the database. Some of the attributes of the record will be the Pokemon's name, location and the time stamp. Additional data sources (here is one: https://pkmngowiki.com/wiki/Pok%C3%A9mon) will also need to be integrated to give us more information about Pokemons e.g. what they are, what’s their relationship, what they can transform into, which attacks they can perform etc.

pokegoapi-java

Pokemon Go API