Data processor and converter for Python
Project description
Python Generator & Converter
Converter library for CSV, OpenAPI, Pandas DF, URLs using a simple Drag & Drop UI. Recommended Python Version: 3.8+ and above.
PythonGenerator & Converter -LIVE demoPythonGenerator & Converter -source code- Get Support via
Email&Discord
- Free for
students,solo-developers(hobby projects),NGOs, andeLearningactivities - Unrestricted usage requires a license (one-time payment)
Payment Link: $499 (managed byGUMROAD)
Video Presentation
The material explains how to use this conversion tool written in Python to manipulate and convert information into different formats.
The tool uses a simple UI able to convert OpenAPI descriptors, CSV, and DataFrames into Python Models definition (allows editing), Data Tables, and Charts.
Product Roadmap
| Status | Delivery | Input | Output | Info |
|---|---|---|---|---|
| DONE | Drop 1 | OpenAPI JSON |
DB Model |
DB Model(s) extraction |
| DONE | Drop 2 |
OpenAPI Yaml |
DB Model |
DB Model(s) extraction |
NA |
Drop 2 |
Swagger UI URL |
DB Model |
DB Model(s) extraction |
| --- | --- | --- | --- | --- |
| DONE | Drop 1 | CSV | DB Model |
DB Model |
| DONE | Drop 1 | CSV | DataTables |
Paginated Data View (vanilla JS) |
| DONE | Drop 1 | CSV | Charts |
Data to visualisation |
| DONE | Drop 2 |
CSV | Export (with filters) |
CSV, PDF |
NA |
Drop 2 |
CSV Remote URL (Gdrive) |
DB Model |
DB Model |
NA |
Drop 2 |
CSV Remote URL (Gdrive) |
DataTables |
Paginated Data View (vanilla JS) |
NA |
Drop 2 |
CSV Remote URL (Gdrive) |
Charts |
Data to visualisation |
NA |
Drop 2 |
CSV Remote URL (Gdrive) |
Export (with filters) |
CSV, PDF |
| --- | --- | --- | --- | --- |
| DONE | Drop 1 | Pandas DF | DB Model |
DB Model |
| DONE | Drop 1 | Pandas DF | DataTables |
Paginated Data View (vanilla JS) |
| DONE | Drop 1 | Pandas DF | Charts |
Data to visualisation |
| DONE | Drop 2 |
Pandas DF | Export (with filters) |
CSV, PDF |
| --- | --- | --- | --- | --- |
| DONE | Drop 2 |
DBMS Remote URL |
DB Model |
Models Introspection |
| DONE | Drop 2 |
DBMS Remote URL |
DataTables |
Paginated Data View (vanilla JS) |
| DONE | Drop 2 |
DBMS Remote URL |
Charts |
Data to visualisation |
| DONE | Drop 2 |
DBMS Remote URL |
Export (with filters) |
CSV, PDF |
Build from sources
Note: Recommended Python Version:
3.8+and above.PKL(Pandas DF) processing will not work with a version below3.8.
Step 1- Clone Sources from the putblic repository:
$ git clone https://github.com/app-generator/devtool-python-converter.git
$ cd devtool-python-converter
Step 2- Install modules
$ # Virtualenv modules installation (Unix based systems)
$ virtualenv env
$ source env/bin/activate
$ pip install -r requirements.txt
Step 3- Set up environment (optional)
$ (Unix/Mac) export FLASK_APP=run.py
$ (Windows) set FLASK_APP=run.py
$ (Powershell) $env:FLASK_APP = ".\run.py"
Step 4- Run theAPP
$ flask run
Python Generator & Converter - Tool provided by AppSeed.
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