pagai | Tools to suggest SQL columns for Pyrog

by arkhn Python Version: Current License: Apache-2.0

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

kandi X-RAY | pagai Summary

pagai is a Python library. pagai has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pagai build file is not available. You can download it from GitHub.

Pagai is a SQL database inspection tool implemented in Python. In particular, it is used to find joins between tables, determine column types (first name, medical code, etc) rank columns in certain contexts. This projet is tightly linked to Pyrog, which serves as its web client. A staging version of Pagai is available through its web client here:

Support

Quality

Security

License

Reuse

Support

pagai has a low active ecosystem.

It has 20 star(s) with 1 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 19 have been closed. On average issues are closed in 71 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pagai is current.

Quality

pagai has no bugs reported.

Security

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

License

pagai is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

pagai has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get a table from a resource
Get rows from a table
Run GraphQL query
Returns the schema for the given owner
Retrieve rows from the database
Get the SQLAlchemy column from the table
Creates a session scope
Get a resource by id
Check that the connection exists
Return a SQLAlchemy Table instance
Get the list of databases owned by the server
Returns the list of users owned by the database
Get the owner of a database
Create a Flask app

Get all kandi verified functions for this library.

pagai Key Features

No Key Features are available at this moment for pagai.

pagai Examples and Code Snippets

No Code Snippets are available at this moment for pagai.

Community Discussions

No Community Discussions are available at this moment for pagai.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pagai

Set up and start your virtualenv
Launch the server: FLASK_RUN_PORT=4000 FLASK_APP=pagai/app flask run
Visit http://localhost:4000/init/<database_name> to start database analysis
As for now, we're training our engine on a simplified version of the MIMIC dataset extended with firstname, name and address data. Of course, it is possible to train the model and the graph with your own database. In particular, you can provide whatever functional type you want (you could add phone in the list above for example). We'll provide shortly instructions explaining how to proceed. Feel free to contact us on Slack in you have trouble with the project.

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: