neo4j-flask | Flaskr Extended with Neo4j and Py2neo | Graph Database library

by nicolewhite Python Version: Current License: No License

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

kandi X-RAY | neo4j-flask Summary

neo4j-flask is a Python library typically used in Database, Graph Database, Neo4j applications. neo4j-flask has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Flaskr Extended with Neo4j and Py2neo.

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Quality

Security

License

Reuse

Support

neo4j-flask has a low active ecosystem.

It has 295 star(s) with 109 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 8 have been closed. On average issues are closed in 10 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of neo4j-flask is current.

Quality

neo4j-flask has 0 bugs and 0 code smells.

Security

neo4j-flask has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

neo4j-flask code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

neo4j-flask does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

neo4j-flask releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

neo4j-flask saves you 125 person hours of effort in developing the same functionality from scratch.

It has 315 lines of code, 19 functions and 11 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed neo4j-flask and discovered the below as its top functions. This is intended to give you an instant insight into neo4j-flask implemented functionality, and help decide if they suit your requirements.

Render a profile
Returns the commonality of two users
Return the most similar users who have the same tag
Get the most recent posts
Add a new post
Creates a new post
Returns the current timestamp
Generate date
Register a new user
Find a user by username
Handle login
Verify a password
Like a post
Show the most recent posts

Get all kandi verified functions for this library.

neo4j-flask Key Features

No Key Features are available at this moment for neo4j-flask.

neo4j-flask Examples and Code Snippets

No Code Snippets are available at this moment for neo4j-flask.

Community Discussions

Trending Discussions on neo4j-flask

py2neo run().data() randomly return tuples instead of list

QUESTION

py2neo run().data() randomly return tuples instead of list

Asked 2020-Jul-26 at 07:27

im using py2neo 5.0b1 in combination with flask 1.1.2 and jinja2 2.11.2 to build a small webapp.

My simple function which return the values of my cypher: Model:

...

ANSWER

Answered 2020-Jul-26 at 07:27

This cannot be. The method always returns a list, regardless of the size and shape of the result.

The most likely expansion for what you saw is suggested by the comment above: that you had a trailing comma at some point, which got removed.

Source https://stackoverflow.com/questions/63091469

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

Vulnerabilities

No vulnerabilities reported

Install neo4j-flask

You can download it from GitHub.
You can use neo4j-flask 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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