Background　and　objective:　Magnetoencephalography　(MEG)　is　an　advanced　magnetic　source　imaging　technology　that　measures　the　magnetic　fields　produced　by　neural　activities.　It　has　been　extensively　used　in　scientific　research　and　clinical　diagnosis　due　to　its　high　temporal　and　spatial　resolution.　Considering　the　special　nature　of　MEG　data,　it　needs　to　perform　a　series　of　processes　and　analysis　to　obtain　valuable　information.　Therefore,　the　identification　of　data　processing　is　a　key　point　of　MEG　studies.　At　present,　the　software　for　MEG　analysis　such　as　FieldTrip　has　no　Graphic　User　Interface　(GUI)　and　users　must　write　their　own　script　to　perform　concrete　analysis.　It　brings　the　difficulties　to　researchers　like　the　doctors　without　experience　in　programming　or　newcomers　to　MEG.　Thus,　an　open-sourced　software-EasyMEG　was　developed.　It　has　friendly　interface　with　highly　functions-integration.　Methods:　The　functions　of　EasyMEG　are　developed　based　on　MATLAB　language　to　ensure　the　consistency　of　the　user　interface　under　different　operating　systems.　EasyMEG　is　a　highly　integrated　software　that　contains　a　set　of　functions　for　preprocessing,　time-lock　analysis,　time-frequency　analysis,　source　analysis,　and　plotting.　EasyMEG　provides　a　friendly　GUI　and　allows　users　to　complete　analyses　through　a　simple　and　clean　interface.　Results:　This　toolbox　has　been　released　as　an　open-source　software　on　GitHub　under　the　GNU　General　Public　License:　https://tonywu2018.github.io/EasyMEG/.　Conclusions:　We　hope　to　improve　this　toolbox　by　the　power　of　community　and　wish　to　make　EasyMEG　a　simple　and　powerful　toolbox　for　further　MEG　studies.　(C)　2019　Published　by　Elsevier　B.V.