On the other hand, commercial software generally limits the user with the options provided by the program and can only process vendor specific data formats. Moreover, the closed source code makes it difficult to understand what happens with the data in case there is, for example, loss of information (i.e., reduced subspace). This leaves only a few options nonvendor, open-source, and open-access software options: InSpectra, 21 MS-Dial, MZmine, patRoon, and OpenMS. One of the data processing limitations in these software packages is the heavy focus on DDA. Where only a part of the MS1 information is further fragmented in MS2. Often focusing on either known precursor masses of interest or intense peaks. Meanwhile, for NTA, DIA is a valuable approach as this focuses more on the unknown compounds. Here all MS1 signals are further fragmented to obtain fragmentation information. While the selfadjusting feature detection algorithm (SAFD) and CompCreate for componentization are implemented in InSpectra, this platform lacks visualization options, a front-end, and the possibility to process highly confidential data as it needs to be uploaded. Meanwhile, SAFD and CompCreate enable the possibility to perform feature detection on both centroided and profile data and componentization on various MS1 and MS2 data types, of which the latter is specifically valuable with DIA data types.