pydbgen | Random dataframe and database table generator | Generator Utils library

by tirthajyoti Python Version: 1.0.5 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pydbgen Summary

pydbgen is a Python library typically used in Generator, Generator Utils, Pandas applications. pydbgen has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pydbgen' or download it from GitHub, PyPI.

Random dataframe and database table generator

Support

Quality

Security

License

Reuse

Support

pydbgen has a low active ecosystem.

It has 278 star(s) with 63 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 8 have been closed. On average issues are closed in 198 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pydbgen is 1.0.5

Quality

pydbgen has 0 bugs and 0 code smells.

Security

pydbgen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pydbgen code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pydbgen is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pydbgen releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pydbgen saves you 263 person hours of effort in developing the same functionality from scratch.

It has 639 lines of code, 21 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pydbgen and discovered the below as its top functions. This is intended to give you an instant insight into pydbgen implemented functionality, and help decide if they suit your requirements.

Generate a new table
Generate random data series
Generate dataframe
Generate a license plate
Validate arguments
Generate a random phone number
Return a random city
Generate new excel dataframe

Get all kandi verified functions for this library.

pydbgen Key Features

No Key Features are available at this moment for pydbgen.

pydbgen Examples and Code Snippets

No Code Snippets are available at this moment for pydbgen.

Community Discussions

Trending Discussions on pydbgen

TypeError while using pydbgen module

QUESTION

TypeError while using pydbgen module

Asked 2020-Aug-01 at 20:54

I'm trying to use some functions from pydbgen module. Some of them work while the others keep getting me the following error:

...

ANSWER

Answered 2020-Aug-01 at 18:22

Installing Faker 2.0.5 worked for me

Source https://stackoverflow.com/questions/63208491

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pydbgen

You can install using 'pip install pydbgen' or download it from GitHub, PyPI.
You can use pydbgen like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: