 Metabat 2 is a powerful and efficient metagenome binning tool that eliminates the need for manual parameter tuning. It is based on an adaptive binning algorithm which allows it to automatically adjust parameters to maximize accuracy while minimizing runtime. This makes it ideal for use with large datasets and assemblies of low quality. Additionally, Metabat 2 is optimized for high performance and memory efficiency, allowing it to complete binning tasks quickly and efficiently. Compared to other metagenome binning tools, Metabat 2 outperforms them in terms of accuracy and runtime. Therefore, we strongly recommend the community adopts Metabat 2 as their preferred metagenome binning tool. This article was authored by Dong-Wan Di-Kong, Fong-Li, Edward Curtin, and others.