Compare commits

..
6 Commits
Author SHA1 Message Date
dimpogkas 2f1ff5259d Update README.md 2026-07-12 17:54:22 +03:00
dimpogkas 30e2645e69 Update README.md 2026-07-12 17:28:39 +03:00
dimpogkas df5de21605 Update README.md 2026-07-12 16:26:46 +03:00
dimpogkas bf95c42ffc Update README.md 2026-07-12 16:25:25 +03:00
dimpogkas 9b518f29bf Merge 2026-07-12 15:44:16 +03:00
dimpogkas a69890a014 Adding requirements 2026-07-12 15:42:41 +03:00
2 changed files with 19 additions and 2 deletions
+7 -2
View File
@@ -65,7 +65,7 @@ Result:
Double-clicking a Month-over-Month movement displays the customers and contracts responsible for that change.
<img width="1484.66" height="735.33" alt="image" src="https://github.com/user-attachments/assets/733f61ee-4433-411c-9903-ed651f6a5b37" />
<img width="989.77" height="490.22" alt="image" src="https://github.com/user-attachments/assets/733f61ee-4433-411c-9903-ed651f6a5b37" />
Double-clicking a customer difference in the MRR Summary view displays the individual ledger entries contributing to that movement.
@@ -81,8 +81,13 @@ Provides an up-to-date view of remaining Professional Services revenue still to
<img width="719.33" height="210.66" alt="image" src="https://github.com/user-attachments/assets/849385bd-63ba-4630-9ed5-890366c91e28" />
### Technology
## Technology
- Python
- PySide6 (Qt)
- pandas
- numpy
- SQLite
## Try it out
Download from the [releases page](https://git.pogkas.com/pogky_thunder/Revenue-Analytics/releases), extract, and run main.py. Note that you may get a warning from Windows Defender to trust the executable.
To use with your own data, create reports for contracts revenue schedules, contracts billing schedules, and general ledger data (do not forget the custom fields where necessary) and replace the placeholder data.
+12
View File
@@ -0,0 +1,12 @@
et_xmlfile==2.0.0
line_profiler==5.0.2
numpy==2.4.4
openpyxl==3.1.5
pandas==3.0.2
PySide6==6.11.0
PySide6_Addons==6.11.0
PySide6_Essentials==6.11.0
python-dateutil==2.9.0.post0
shiboken6==6.11.0
six==1.17.0
typing_extensions==4.15.0