The paper introduces BIOGEME, a free software package designed for estimating a wide range of discrete choice models, particularly focusing on Generalized Extreme Value (GEV) models. The package is developed by Michel Bierlaire at EPFL and is available for both Linux and Windows. BIOGEME uses state-of-the-art optimization algorithms to estimate parameters in various models, including Multinomial Logit (MNL), Nested Logit (NL), Cross-Nested Logit (CNL), and Network GEV (NGEV) models. The software supports maximum likelihood estimation and allows users to impose constraints on parameters. The paper also provides a detailed tutorial on how to use BIOGEME, including input file specifications and examples. Future developments aim to enhance the package with support for more complex models, such as Mixed GEV models. The appendix includes derivatives used in the log-likelihood estimation for different models.The paper introduces BIOGEME, a free software package designed for estimating a wide range of discrete choice models, particularly focusing on Generalized Extreme Value (GEV) models. The package is developed by Michel Bierlaire at EPFL and is available for both Linux and Windows. BIOGEME uses state-of-the-art optimization algorithms to estimate parameters in various models, including Multinomial Logit (MNL), Nested Logit (NL), Cross-Nested Logit (CNL), and Network GEV (NGEV) models. The software supports maximum likelihood estimation and allows users to impose constraints on parameters. The paper also provides a detailed tutorial on how to use BIOGEME, including input file specifications and examples. Future developments aim to enhance the package with support for more complex models, such as Mixed GEV models. The appendix includes derivatives used in the log-likelihood estimation for different models.