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ChartArena is a comprehensive bilingual benchmark for chart parsing that evaluates models across eight chart families and three visual scenarios (digital, printed, hand-drawn), using a human-agent annotation pipeline and format-agnostic evaluation. Evaluations of 26 MLLMs reveal that while proprietary models lead overall, open-source models are catching up, and diagrammatic structures and hand-drawn scenarios remain challenging.