Browse Smalltalk Packages

ServiceVM

The Service VM is intended to provide example code for creating and using a separate "Service VM" for offloading work that in a Squeak/Pharo Seaside application, you would have forked of a thread to do the work

GitHub pharo 2 stars MIT

sma-examples

https://github.com/onierstrasz/sma-examples

Demo examples for the Software Modeling and Analysis course

GitHub 2 stars

smalltodo-example

https://github.com/pharo-spec/smalltodo-example

GitHub 2 stars

SqueakByExample-english-olpc

https://github.com/SquareBracketAssociates/SqueakByExample-english-olpc

OLPC specific variant of Squeak By Example

GitHub squeak 2 stars NOASSERTION

SqueakByExample-german

https://github.com/SquareBracketAssociates/SqueakByExample-german

German translation of Squeak By Example

GitHub squeak 2 stars NOASSERTION

teaching-image

https://github.com/hpi-swa-lab/teaching-image

A repository for scripts to build a teaching image

GitHub 2 stars

viz

https://github.com/pharo-ai/viz

Machine-Learning Visualization API for Pharo

GitHub pharo 2 stars MIT

aoc2021-smalltalk

https://github.com/tatut/aoc2021-smalltalk

Some Advent of Code 2021 learning using Smalltalk

GitHub 1 stars

automata-example

https://github.com/mikefilonov/automata-example

An example of Automata framework driving a Seaside/REST application.

GitHub 1 stars

bloc-tests

https://github.com/darth-cheney/bloc-tests

Examples built using Pharo's new Bloc graphics system

GitHub pharo 1 stars

DDD-pharo-ai-exercises

https://github.com/jordanmontt/DDD-pharo-ai-exercises

Debugger-Driven-Developement exercises for implementing AI algorithms in Pharo

GitHub pharo 1 stars GPL-3.0

dsl-pharo

https://github.com/AymericJak/dsl-pharo

D&D - course no. 2

GitHub pharo 1 stars

EarthTutorial

https://github.com/Ducasse/EarthTutorial

A little tutorial to have fun with Pharo

GitHub pharo 1 stars

example-spec-books

https://github.com/estebanlm/example-spec-books

GitHub 1 stars

gaussian-mixture-model

https://github.com/pharo-ai/gaussian-mixture-model

Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). Can be used for classification

GitHub pharo 1 stars MIT