| https://www.linkedin.com/in/zulfian-s-kom-0b60a015b | |
| GitLab | https://gitlab.com/zulfian1732 |
| GitHub | https://github.com/zulfian1732 |
| Youtube | https://www.youtube.com/@JollpiTextEditor |
@jirigronroos Thanks again for the feedback and for opening the issue.
I’ve replied on GitLab with some details about the design approach — Munquet keeps headers transparent and lets users edit them explicitly before conversion.
Happy to continue the discussion there!
Munquet 0.2.1 just landed on Flathub 🚀
Fixed a small race condition when canceling a conversion — turns out the process could finish right before you clicked “Yes” 😅
Two lines later… all good.
https://flathub.org/en/apps/io.gitlab.zulfian1732.munquet
#Flatpak #GTK4 #OpenSource #Parquet #DataScience #Linux #Python #PyArrow
Munquet 0.2.0 is now available on Flathub 🎉
✨ Display real host paths via XDG Portal
🛠 Introduced a .Devel Flatpak manifest for development builds
Continuing to improve the Linux desktop data workflow 🚀
https://flathub.org/en/apps/io.gitlab.zulfian1732.munquet
#Flathub #Flatpak #XDGPortal #GTK4 #OpenSource #Parquet #Python #DataScience
Munquet is now officially on Flathub 🎉
A native Linux app to convert datasets into Apache Parquet using PyArrow backend. Perfect for data science workflows, analytics, and anyone needing fast local conversions.
Get it here: https://flathub.org/en/apps/io.gitlab.zulfian1732.munquet
@gnome @xfce @kde @GTK @linux @flathub
#apache #pyarrow #datascience #parquet #csv #OpenSource #Python #GNOME #GTK4 #Adwaita
🚀 Munquet — Convert, merge, rename & validate tabular data into Parquet, fully offline & batch-ready.
GitLab: https://gitlab.com/zulfian1732/munquet
Featured in: @severo 's Awesome Parquet: https://github.com/severo/awesome-parquet 🙏
🚀 Sneak peek Munquet!
Convert, merge, rename, and validate tabular data safely into Parquet. Works offline, with batch processing and progress feedback.
GitLab repo:
https://gitlab.com/zulfian1732/munquet
Flathub release coming soon!
#Python #GTK4 #GNOME #PyArrow #Parquet #DataScience #Libadwaita
Working on Flathub metadata today.
Learned that if categories and keywords are already defined in the desktop file, there’s no need to define them again in metainfo, as they would override the desktop values.
