Functional traits are phenotypic characteristic of an organism that (in)directly influence its performance or fitness in its environment. These traits are typically related to how an organism interacts with its surrounding environment, acquires resources, and responds to ecological challenges. Functional traits include behavioral, morphological, phenological, and physiological traits (BMPP traits) that affect an organism’s growth, reproduction, survival, or competitive ability. Functional traits are valuable pieces of information for aquaculture research and management. They allow understanding or predicting the interactions and suitability of species in a farming environment, in order to improve the efficiency and sustainability of a production. For instance, estimating the feasibility and efficiency of combining new species using an approach based on functional traits is a useful tool for promoting polyculture practices that aim to farm species with complementary resource uses and minimal competition between resources. Similarly, the analysis of functional traits makes it possible to predict the consequences of modifications to the culture environment, such as those triggered by climate change, on species production. Overall, the functional trait approach can limit time-consuming and costly bioassays to evaluate alternative scenarios for aquaculture development. It is therefore essential to compile species trait datasets with broad taxonomic coverage in species groups important for aquaculture, such as fish, to foster applied developments through meta-analyses based on big data. Although fish traits have been the focus of an abundant research, an overview of broad-scale insights is poorly available because useful datasets are scattered over several decades of literature in many languages. Datasets of fish functional trait are thus difficult to access and often unpractical to achieve meta-analyses without a time-consuming extensive review. Already available large-scale compilations include trait information for many fish species but not as detailed as required for aquaculture purpose. In this context, we develop TOFF (i.e. Traits OF Fish), a database focused on functional fish traits that aims to bring together behavioral, morphological, phenological and physiological traits always coupled with environmental measures in a single, open-access repository. TOFF hosts data from published experimental and field studies. It already gathers data on 241 traits for 248 species extracted from 547 publications and present a collaborative platform. Further development of TOFF requires the foundation of a community of users and data providers. This community is open to all stakeholders in the aquaculture industry and research. Our ultimate goal is to provide a comprehensive and accessible data resource to facilitate progress in aquaculture development.