Continued improvements in computational power have enabled the running of molecular dynamics simulations of increasingly complex nature, necessitating a corresponding evolution of analysis workflows to handle and extract features from the simulation data. MDAnalysis (https://www.mdanalysis.org) is a free open-source Python library for molecular simulations analysis, with support for over 40 file formats covering most popular simulation packages. It allows users to read, write and manipulate trajectories or individual structures, offers a variety of common analysis methods such as RMSD and hydrogen bonding, and is easily extensible to match individual needs. Here, we present the core aspects of MDAnalysis and how it can be leveraged to explore simulation data. We focus on recent and ongoing improvements to handle the evolving landscape of molecular simulations, including larger datasets and more diverse analysis needs. In particular, we recently introduced a “converter” framework to enable direct conversion of data between MDAnalysis and other popular simulation and analysis packages (such as ParmEd and RDKit), without the need for intermediate files - addressing the common challenge of interoperability. We will also present our upcoming “MDAKit” system, which will simplify/streamline the creation and maintenance of packages built with MDAnalysis to empower scientists to develop features, encouraging new contributions and broadening the scope of MDAnalysis. MDAKits may include analysis and trajectory manipulation, such as our new tools for membrane curvature and solvation analysis.