In this paper we introduce and showcase the jHRMS toolbox with its functionalities and capabilities. The implemented algorithms have generally been optimized and tested for small molecules (i.e., ≤1000 Da), providing a broad general application range. The toolbox provides numerous NTA HRMS data processing workflows for a variety of data types, including MS1 only data, DDA, parallel reaction monitoring (PRM), DIA, sequential windowed acquisition of all theoretical fragment (SWATH), and multi-collision analysis. The jHRMS toolbox is designed to be highly modular with the ease-of-use through a graphical user interface, while maintaining the complete freedom to add processing workflows and functionalities. To enable this, the toolbox is fully open-access, open-source, and functional on windows, MacOS, and Linux systems. It has been written in the programming language Julia, which is known for the balance between ease of use for data processing and its similar computing performance of low-level languages like C, making it highly suitable for processing HRMS data. Additionally, the toolbox comes with numerous post-processing visualization options and built-in trend and statistical analysis.