Ecological niche models are being increasingly used to analyze the potential distributions of species, the effect of climate change, biological invasions, and other biogeography questions. A myriad of methods and workflows exist for ENM; some common steps are common to most of them, but there must be flexibility depending on the research question. Moreover, reporting the methodology and decision-making should give robustness to the conclusions. With the recent emphasis on reproducibility, a new set of practices, such as metadata recording, script-based applications, version control, and software version awareness can be included to the general workflows to ensure transparency. Here, we present modleR, an R package that implements such a reproducibility workflow for Ecological Niche Modeling. We also propose some guidelines for writing reproducible R code in ecology workflows in general. We shall present the generalities of ENM workflows and the challenges for writing workflows that are adequate for general use (flexibility) but do not leave behind some key steps for reproducibility. The package is available: https://model-r.github.io/modleR/ (1) ¡liibre! Laboratório Independente de Informática da Biodiversidade e Reprodutibilidade em Ecologia (2) Instituto Internacional para a Sustentabilidade, Rio de Janeiro, Brasil. (3) Instituto Superior Antonio Ruiz de Montoya (ISARM). Posadas, Misiones, (4) Instituto Misionero de Biodiversidad (IMiBio). Puerto Iguazú, Misiones, Argentina Track – Education & research Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required.