`Python` Generator & Converter

Converter library for CSV, OpenAPI, Pandas DF, URLs using a simple Drag & Drop UI. Recommended Python Version: 3.8+ and above.

Python Generator & Converter - LIVE demo
Python Generator & Converter - source code
Get Support via Email & Discord

EULA License:

Free for students, solo-developers (hobby projects), NGOs, and eLearning activities
Unrestricted usage requires a license (one-time payment)
- Payment Link: $499 (managed by GUMROAD)

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 below 3.8.

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 the APP

$ flask run

Python Generator & Converter - Tool provided by AppSeed.

Metadata

Release files for python-data-converter 1.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for python-data-converter 1.0.10
File	Size	Uploaded
python-data-converter-1.0.10.tar.gz	20.8 kB	Jan 19, 2023	Details

Release files / python-data-converter-1.0.10.tar.gz

Download URL	python-data-converter-1.0.10.tar.gz
Size	20.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`8445aab8d6061a307ea7767c11920117acba8f473dfc0c8aa0d74c4b61e0481a`
BLAKE2b-256 checksum How to use checksums	`349df64043123f064f1015fc810add3aaab56b38e176ebc353044165d8eb32ae`
Upload date	Jan 19, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.4`