bim-validation-report

BIM model export validation checks tabular data exports against rules for required properties, naming conventions, and classification codes. A Python validation engine processes CSV, JSON, or Excel inputs to produce structured reports with severity-categorized issues and summary statistics.

BIM execution plan compliance checks can be automated by validating tabular model exports against configurable default and custom rules. This automates pre-issue quality assurance checks, catching missing properties, naming inconsistencies, and classification gaps before model handoff or audit.

BIM data quality report generation accepts CSV, JSON, and Excel input files. The validation engine processes these tabular exports and outputs structured JSON reports, with optional XLSX export available for generating structured issue lists for team collaboration.

Excel audit reports from BIM model validation are generated by running the Python validation engine on tabular exports. It produces optional XLSX output files containing severity-categorized issue lists and summary statistics suitable for dashboard ingestion or design team distribution.

Openpyxl supports exporting BIM validation issues to Excel by enabling the optional XLSX output generation. The validation engine uses this dependency to write structured issue lists and summary statistics from CSV, JSON, or Excel inputs into formatted Excel reports.

Checking BIM geometry values and classification codes in bulk is done by validating tabular model exports against configurable data quality rules. The engine checks basic geometric values like bounding boxes and volumes, alongside classification fields, generating structured reports with categorized issues.