CSV, JSON, Excel, Calc simple file viewer (v 0.1.4) - Ubuntu 24.04
- Ubuntu 24.04 CSV (.csv), JSON (.json), Excel (.xlsx, .xls), OpenDocument Spreadsheet Calc (.ods) simple file viewer
* Version : 0.1.4
* Release date : 2026-03-23 [Y-M-D]
This is an older version for Ubuntu. For the latest version, please refer to the link below.
- Debian package version(.deb) / Portable version
(v 0.2.3) http://dasom.net/462 or https://gangserver.tistory.com/462
* If you need the last version for Windows, please refer to the link below.
- NSIS installer version / Portable version
(v 0.2.3) http://dasom.net/461 or https://gangserver.tistory.com/461
This is a csv, json, excel and (LibreOffice/OpenOffice) calc file viewer developed using (pandas + PyQt5 + pyinstaller).
Due to the 20MB file size limit, the attachments have been split into tar.gz files
(FileViewer.tar.gzaa, FileViewer.tar.gzab, FileViewer.tar.gzac, FileViewer.tar.gzad).
After downloading, launch Terminal, navigate to the downloaded folder, and then execute the following tar.gz unpacking command. The FileViewer executable file will be created. Run this file.
$ cat FileViewer.tar.gz* | tar xvzf -
Please check if the FileViewer file has execute permissions.
If it does not have execute permissions, please add them.
$ chmod u+x FileViewer
[ Run ]
$ ./FileViewer
[ Running screen ]
* The first line of data is used as the column header name.
* Currently, this program only processes (can be viewed) data from the first sheet of Excel/Calc files.
FileViewer (v 0.1.4) file sha256 hash value :
4087354bd9db1accde4b66c64a9ffd45807908347ac690efaf52e219035724ad
* To check the SHA256 hash of a file in Ubuntu,
use the Terminal command sha256sum <file_path>
$ sha256sum FileViewer
4087354bd9db1accde4b66c64a9ffd45807908347ac690efaf52e219035724ad FileViewer
[ Development environment ]
python : 3.12.x
pandas : 3.0.1
openpyxl : 3.1.5
xlrd : 2.0.2
odfpy : 1.4.1
python-calamine : 0.6.2
PyQt5 : 5.15.11
pyinstaller : 6.19.0
[ Update information ]
0.1.4 (2026-03-23 [Y-M-D])
- Added a view feature using a URL
- Add JSON data type