It can load up to 11 times faster than Excel. Modern CSV comes with a read-only mode that loads large files quickly and with a small memory footprint just a fraction of the file size. You can also manually hide whichever rows or columns you want. The filters use a powerful syntax that is clearly described in the filter query. The sort feature uses stable sort so the order of other columns is preserved as much as possible. Note that tensorflow is required for using certain Keras 3 features: certain preprocessing layers as well as tf.data pipelines. To use keras, you should also install the backend of choice: tensorflow, jax, or torch. The find/replace feature has options for searching with regular expressions, highlighting matches, limiting search to a range of cells, or previewing replace operations before you perform them. Note that Keras 2 remains available as the tf-keras package. Modern CSV has powerful features for finding and arranging your CSV data. You can call any command with a keyboard shortcut which you can customize. Furthermore, most commands work on multiple rows, columns, or cells at once. If you need to move a column, duplicate a row, split cells, convert date/time formats, or any number of other operations, you can do so with a single command. Modern CSV makes it easy to quickly edit your files.

It makes up for the weaknesses of spreadsheet programs in handling CSV files while incorporating the strengths of the best text editors. Modern CSV is a tabular file editor/viewer with advanced editing features and large file handling.