Comma Chameleon

CSVs, short for comma-separated values, are files that have been used for quite a while now for storing tabular data, numbers and letters in ordinary text form, separated with distinct characters.

In order to help you manage and get the best out of CSV files, you will most definitely need to work with a CSV editor, like the funky-named, Comma Chameleon.

You can get started with Electron-based application quite quickly by just unzipping the package and running the utility via its provided executable file.

Once you start working on a new CSV file or you load an already existing one, you are bound to discover the overall simplicity of the app.

It should not take too long to fully get to grips with the app's basic features which, truth be told, are not that many. Simply said, with the help of Comma Chameleon, you can add and remove rows and columns.

The app also provides you with the possibility to quickly validate your CSV files and see if they are thoroughly readable using the integrated CSVlint-engine, as well as to export your CSV projects as datapackages.

Another neat and worth mentioning feature is Comma Chameleon's ability to export your projects directly to GitHub. Of course, you will be met by a pop-up window that prompts you to sing in using your official GitHub credentials.

These features should and might be enough for the average user, which is exactly for whom this app is intended for but more experienced users will surely want something more feature-packed.

For example, the utility does not enable you to change the separator, merge columns or rows, search and replace values or even remove duplicate entries and, going even further, it does not come with support for direct editing on remote servers via FTP connections.

This said, Comma Chameleon is a streamlined and useful piece of software that packs the right amount of features to make it both user-friendly and reasonably competent.

Last but not least, since it's built with the help of Electron, it has another ace up its sleeve, namely it can be run just as efficiently on all the major operating systems out there - Windows, macOS and Linux.