SBML Online Validator

The SBML Online Validator analyzes SBML models to detect structural and semantic issues that would impede simulation or interpretation. It targets computational biologists, model developers, and data scientists who prepare models for analysis, publication, or pipeline integration. The tool supports SBML Levels 1–3 and is suitable for ongoing model curation and repository ingestion. It accepts SBML as text or file input and returns a detailed report for immediate remediation.\n\nCore validation logic includes schema conformance, required element presence, and cross-reference integrity. It performs unit and compartment checks and can apply package-specific validations when present. The result is a ranked list of errors and warnings with precise locations to guide fixes. The validator is deterministic, ensuring reproducible results for identical inputs, which is essential for version control and CI workflows.\n\nThe tool outputs a structured, machine-readable report suitable for automation, in addition to human-readable summaries. It does not modify models or execute simulations; it strictly analyzes and reports. Typical use cases include pre-submission checks, continuous validation in model repositories, and quality control in collaborative projects.\n\nIndustry-standard alignment includes SBML Levels 1–3 and commonly used packages, with careful handling of locale-independent numeric formats. The validator aims to minimize ambiguity in model validation outcomes and provides clear guidance for remediation, making it valuable to researchers, educators, and software engineers integrating SBML validation into pipelines.