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An electronic simulation library written in pure Python

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What is BinPy?

BinPy is a digital electronics simulation library with a bunch of digital devices ( and a few experimental analog devices ) and tools / algorithms under its hood. BinPy is aimed towards students, helping them learn about digital logic in an interactive way. Being an open source project makes it easier for one to get an indepth understanding of the the underlying concepts by glossing at the source.

BinPy focusses on the fundamentals. Everything has been written from scratch such as gates, logical operations, etc.

Our future goals include a GUI tool to help easily build simple digital circuts and the implementation of the core using SPICE or equivalent tools for precise simulations.

How to use

Here's an example of SR latch constructed from a pair of cross-coupled NOR gates

[ Image of SR Latch taken from Wikipedia ]

SR latch | Source: Wikipedia =200px

[ BinPy Code to Simulate an SR Latch ]

from __future__ import print_function
from BinPy import *

Connector to connect output of second NOR gate with input of first NOR gate

con1 = Connector()

Connector to connect output of first NOR gate with input of second NOR gate

con2 = Connector()

R = 0 # Reset input for the SR-Latch S = 0 # Set input for the SR-Lacth

NOR1 = NOR(con1, R) # First NOR gate NOR1.setOutput(con2) # Set output for NOR gate

NOR2 = NOR(con2, S) # Second NOR gate NOR2.setOutput(con1) # Set output for NOR gate

NOR1.setInput(1, 1) NOR2.setInput(1, 0) # Set state print('Q: ', NOR2.output(), '\t', 'Q': ', NOR1.output())

NOR1.setInput(1, 0) NOR2.setInput(1, 1) # Reset state print('Q: ', NOR2.output(), '\t', 'Q': ', NOR1.output())

NOR1.setInput(1, 0) NOR2.setInput(1, 0) # Hold state print('Q: ', NOR2.output(), '\t', 'Q': ', NOR1.output())

NOR1.setInput(1, 1) NOR2.setInput(1, 1) # Invalid state print('Q: ', NOR2.output(), '\t', 'Q': ', NOR1.output())


Q:  1   Q':  0
Q:  0   Q':  1
Q:  0   Q':  1
Q:  0   Q':  0  #Invalid State

Operations, Combinatonal Logic and Algorithms

from BinPy import *


operator = Operations() operator.ADD(1011,11) operator.SUB(1011,11) operator.COMP('0011',1) #Second argument chooses betweem 1's or 2's Compliment

Combinational Logic

m = MUX(1,1,0,1) m.selectLines(0,1) print "MUX Out: ", m.output()

d = DEMUX() d.selectLines(0,1) print "DEMUX Out: ", d.output()

d = Decoder(0,1) print "Decoder Out: ", d.output()

e = Encoder(0,1,0,0) print "Encoder Out: ", e.output()

Sequential Circuits

a = DFlipFlop(1,0) print "DFlipFlop Out: ", a.output()


myIC = IC_7400() p = {1:1,2:0,4:0,5:0,7:0,10:1,9:1,13:0,12:0,14:1} myIC.setIC(p) print "IC_7400 Out: ",

myIC1 = IC_7401() p = {2:0,3:1,5:0,6:0,7:0,8:1,9:1,11:0,12:0,14:1} myIC1.setIC(p) print "IC_7401 Out: ",


Includes the Quine-McCluskey algorithm for solving K-Maps

FinalEquation = QM(['A','B']) print "Minimized Boolean Equation : " , FinalEquation.get_function(qm.solve([0,1,2],[])[1])


{'carry': 0, 'sum': [1, 1, 1, 0]}
{'carry': 1, 'difference': [1, 0, 0, 0]}
MUX Out: 1
DEMUX Out: [0, 0, 0, 0]
Decoder Out:  [0, 1, 0, 0]
Encoder Out: [0, 1]
DFlipFlop Out: [1,0]
IC_7400 Out:  {8: 0, 11: 1, 3: 1, 6: 1}
IC_7401 Out:  {1: 1, 10: 0, 4: 1, 13: 1}
Minimized Boolean Equation : ((NOT B) OR (NOT A))
BinPy also comes with a console that is a simple wrapper around the classic python console from which you can directly use the BinPy Resources.

To start it, simply issue

$ binpy
if BinPy is installed in your path.


Auto-generated documentation is available for reference at BinPy docs


Check out the BinPy Wiki page for a complete summary of BinPy, The Development workflow, Downloading and Installation guide, Tutorials, Technical References and Much more.



Install with pip

PIP and setuptools
sudo apt-get install python-pip
sudo pip install --upgrade setuptools
sudo pip install
IPython Notebook
sudo pip install --upgrade ipython[all]
PIP and setuptools
sudo apt-get install python3-pip
sudo pip3 install --upgrade setuptools
sudo pip3 install
IPython Notebook
sudo pip3 install --upgrade ipython[all]
Tool to ensure your contributions pass the
sudo pip install --upgrade autopep8

Install BinPy using git

sudo apt-get install git setuptools
git clone
cd BinPy/
sudo python install
sudo apt-get install git python3-pip
sudo pip3 install --upgrade setuptools
git clone
cd BinPy/
sudo python3 install

Future Work

  • Introduction of all ICs
  • Introduction of problem solving algorithms
  • Addition of Microprocessors and Analog Devices
  • Graphical representation of the circuit

Visit our roadmap and ideas page in Wiki to know more.

Contribute to BinPy

For a detailed summary of all the coding guidelines and development workflow, visit our Wiki page.


  • It is expected that your code must follow pep8 standards. To conform to the same please install

    tool following the instructions in the installation section.
  • After installation is complete. Make the necessary changes and commit your changes. After Committing your changes,

    to the BinPy root directory and issue the following command

autopep8 -r -i -a -a -v .

To learn more about the

tool visit here.
  • Ensure that all the tests pass by running

    nosetests; nosetests3
  • To check for the pep8 indentation status issue the following command

pep8 ./ --ignore=E501

If all the tests pass successfully push your repo to the origin/branch and send us a Pull Request. We'll be happy to review the same and merge it with our codebase.

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