Build a Data Pipeline
Maximum easy access to data

LOADing Your Data


FILTERing By Multiple Parameters


GROUPing By Multiple Parameters


PIE Chart


BAR Chart


Regular Expression in Revit and IFC


QTO Quantity TakeOff


EXCEL Data Export


PDF Document Creation


Example of using basic functions
Simultaneous processing of one or
hundreds of Revit and IFC projects
Ready-made Pipelines to automate your tasks

5000 projects in IFC and RVT format | OpenDataBIM
With the help of crawlers, the scripts went through sites with free models and collected all the projects in IFC and Revit formats. A total of 4,596 IFC files and 6,471 Revit files were collected

Checking the quality of Revit and IFC projects
With the help of a table describing the parameters in the category to be checked and with the help of Pipelines from OpenDataBIM – we check the projects in Revit and IFC formats. We automatically generate a PDF document, which contains the basic information about the parameters and categories to be checked.

Example of data processing from Revit and IFC
To work with data in Jupyter Notebook, we first need to load the project dataset obtained during conversion (in this case, it is the rac_basic_sampe.rvt project)

Creating a QTO table by rules from an Excel file
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources
Processing structured data is hundreds of times
easier and faster than in openBIM and closedBIM
