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It is an integral method for modeling and simulating complex systems, such as socio-economic problems. Since agent-based models are not described by simple and concise mathematical equations, the code that generates them is typically complicated, large, and slow. Here we present Agents.jl, a Julia-based software that provides an ABM analysis platform with minimal code complexity. We compare our software with some of the most popular ABM software in other programming languages. We find that Agents.jl is not only the most performant but also the least complicated software, providing the same (and sometimes more) features as the competitors with less input required from the user. Agents.jl also integrates excellently with the entire Julia ecosystem, including interactive applications, differential equations, parameter optimization, and so on. This removes any \u201cextensions library\u201d requirement from Agents.jl, which is paramount in many other tools.<\/jats:p>","DOI":"10.1177\/00375497211068820","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T01:15:46Z","timestamp":1641431746000},"page":"1019-1031","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":55,"title":["Agents.jl: a performant and feature-full agent-based modeling software of minimal code complexity"],"prefix":"10.1177","volume":"100","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6427-2385","authenticated-orcid":false,"given":"George","family":"Datseris","sequence":"first","affiliation":[{"name":"Max Planck Institute for Meteorology, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali R.","family":"Vahdati","sequence":"additional","affiliation":[{"name":"Department of Anthropology, University of Z\u00fcrich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy C.","family":"DuBois","sequence":"additional","affiliation":[{"name":"Stockholm Resilience Centre, Stockholm University, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,1,5]]},"reference":[{"key":"bibr1-00375497211068820","doi-asserted-by":"publisher","DOI":"10.1007\/3-7908-1721-X_7"},{"key":"bibr2-00375497211068820","unstructured":"Politopoulos I. Review and analysis of agent-based models in biology. 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