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Free Python QTO - QuantityTakeoff

The free tool QuantityTakeoff allows you to group elements from Revit and IFC models (in BIMJSON-CSV format) with just a few filters and find the required volume values for the grouped elements.

Open App: http://qto.bimopensource.com/

Screenshots

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QuantityTakeoff is the main tool after the design phase. Creation of such groups allows the quantity surveyor to quickly and without additional tools find the required volume values for the selected elements with the help of filters

Screenshots

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Built With

  • Dash - Main server and interactive components
  • Plotly Python - Used to create the interactive plots

Requirements

We suggest you to create a separate virtual environment running Python 3 for this app, and install all of the required dependencies there. Run in Terminal/Command Prompt:

git clone https://github.com/OpenDataBIM/QuantityTakeoff-Python.git
cd QuantityTakeoff-Python
python3 -m virtualenv venv

In UNIX system:

source venv/bin/activate

In Windows:

venv\Scripts\activate

To install all of the required packages to this environment, simply run:

pip install -r requirements.txt

and all of the required pip packages, will be installed, and the app will be able to run.

How to use this app

Run this app locally by:

python app.py

Open http://0.0.0.0:3000/ in your browser, you will see a live-updating dashboard.

OpenDataBIM

https://opendatabim.io/

BIMJSON is a format for transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. BIMJSON data – allows you to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.

OpenDataBIM - You Way to Free Tools in Construction.

Go to BIM 2.0 go to Open Source

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Quantity Takeoff with Python. Collecting groups of elements by filters

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  • Python 69.0%
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