Optimize BIM Data Management with Speckle, Pandas, and Streamlit 📈 (BIM Data Management)

Greetings! I am an Architect and BIM Manager with a passion for BIM development and implementation. In this post, I aim to shed light on how we can maximize the potential of Building Information Modeling (BIM) by leveraging powerful tools such as Speckle, Pandas, and Streamlit. :office:
Building Information Modeling (BIM) generates vast amounts of data for a project. :office: However, these data are often underutilized due to a lack of suitable tools for easy processing and analysis. :exploding_head:

:repeat_one: Extract data from Revit, Rhino, and more using speckle
:panda_face: Utilize pandas for cleaning and processing
:globe_with_meridians: Interactive visual analysis using streamlit and plotly :bar_chart:
:bookmark_tabs: Export to excel format for sharing

The combination of these opensource tools allows for easy exploitation of rich BIM data, speeding up analyses, optimizing construction project data management :building_construction:, and creating high-quality deliverables for clients. :100: While ensuring data confidentiality :lock: