As biotechnological and biomedical research are increasingly fed by the insights arising from computation, the conversation about good practices in computational biology becomes more and more prominent. An increasing body of literature has addressed practices for shareable, reproducible, and sustainable computational research, from high-level principles for data and software stewardship to deep dives into version control or software automation. However, implementing these practices relies on incorporating the right tools into our daily routines, considering the type, scope, and stage of the research project. Here we provide a compendium of relevant tools for computational biology research, emphasizing their time and place within a continuum that traverses personal, collaborative, and community practices. This compendium will serve as a starting point and guide to help navigate the ongoing influx of tools and how to best incorporate them into a computational biologist's working routine, enabling reproducible biomedical and biotechnological research in the long term.