flask-sqlacodegen | Automatic model code generator for SQLAlchemy with Flask | SQL Database library

by ksindi Python Version: v1.1.8 License: Non-SPDX

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

kandi X-RAY | flask-sqlacodegen Summary

flask-sqlacodegen is a Python library typically used in Database, SQL Database applications. flask-sqlacodegen has no bugs, it has no vulnerabilities, it has build file available and it has low support. However flask-sqlacodegen has a Non-SPDX License. You can download it from GitHub.

Fork of sqlacodegen by Alex Gronholm. Based off of version 1.1.6.

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Quality

Security

License

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Support

flask-sqlacodegen has a low active ecosystem.

It has 286 star(s) with 60 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 14 have been closed. On average issues are closed in 95 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of flask-sqlacodegen is v1.1.8

Quality

flask-sqlacodegen has 0 bugs and 7 code smells.

Security

flask-sqlacodegen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flask-sqlacodegen code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

flask-sqlacodegen has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

flask-sqlacodegen releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

flask-sqlacodegen saves you 251 person hours of effort in developing the same functionality from scratch.

It has 611 lines of code, 39 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Render the table
Render a column type
Render a constraint
Render a single column
Adds imports to the given collector
Add an import
Add a literal import
Add a new attribute
Convert to valid identifier
Convert a table name to a class name
Return singular noun
Make backref name for target_cls
Check if two models are a descendant of a model
Render the collected imports
Add imports to the collector
Import dialect specific
Return the sort key for a constraint
Add imports to collector

Get all kandi verified functions for this library.

flask-sqlacodegen Key Features

No Key Features are available at this moment for flask-sqlacodegen.

flask-sqlacodegen Examples and Code Snippets

No Code Snippets are available at this moment for flask-sqlacodegen.

Community Discussions

Trending Discussions on flask-sqlacodegen

flask-sqlacodegen is not recognized as an external or internal command

QUESTION

flask-sqlacodegen is not recognized as an external or internal command

Asked 2020-Jul-20 at 19:41

I'm try to run flask-sqlacodegen on my command line, but i keep getting this error:

...

ANSWER

Answered 2020-Jul-20 at 19:41

It could be that it installed it to a different directory than where your PYTHONPATH points to, i.e. the package itself is not present in .../lib/python3.x/site-packages where your PYTHONPATH points to.

You can check that like so on your cmd line for windows( apply relevant cmd for your OS)

Source https://stackoverflow.com/questions/62997158

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

Vulnerabilities

No vulnerabilities reported

Install flask-sqlacodegen

You can download it from GitHub.
You can use flask-sqlacodegen 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 .

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