TriEval is a new resource-efficient evaluation pipeline for large language models (LLMs) that assesses bias, toxicity, and truthfulness simultaneously, making it accessible for researchers with limited computational resources. Its open-source release aims to enhance the safety and fairness of LLMs in various applications, highlighting differences between open- and closed-source models.