flask-Dashboard | This is the code that was used for the blog | Blog library

by yvonnegitau Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | flask-Dashboard Summary

flask-Dashboard is a Python library typically used in Web Site, Blog applications. flask-Dashboard has no bugs, it has no vulnerabilities and it has low support. However flask-Dashboard build file is not available. You can download it from GitHub.

This is the code that was used for the blog

Support

Quality

Security

License

Reuse

Support

flask-Dashboard has a low active ecosystem.

It has 59 star(s) with 57 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 38 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask-Dashboard is current.

Quality

flask-Dashboard has no bugs reported.

Security

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

License

flask-Dashboard 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

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

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

Top functions reviewed by kandi - BETA

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

Render a feature
Create a graphite plot
Show index

Get all kandi verified functions for this library.

flask-Dashboard Key Features

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

flask-Dashboard Examples and Code Snippets

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

Community Discussions

Trending Discussions on flask-Dashboard

Flask: ImportError: No module named folder.file

Location of graph plotting routes on Flask boilerplate

QUESTION

Flask: ImportError: No module named folder.file

Asked 2020-Jun-30 at 05:43

I have a flask app based on Atlantis Dashboard.

It runs just fine on Windows using the command:

flask run --host=0.0.0.0 --port=5000.

Now I'm trying to deploy it on Linux server, I cloned the project and tried to start it:

flask run
py -m app.app
waitress-serve --port=8001 run:app
Tried to change import syntax
.. another 20x trials

But can't make it work! I keep getting the error:

...

ANSWER

Answered 2020-Jun-30 at 05:43

Found the main cause, virtual env was not activated. Using this . venv/bin/activate activated the env and fixed the issue

Source https://stackoverflow.com/questions/62429037

QUESTION

Location of graph plotting routes on Flask boilerplate

Asked 2020-Feb-27 at 08:57

I just downloaded a This flask boilerplate but I have never used any of it. My intentional is to use it to create a data dashboard which should display graphs on html page. My question is where do I create my routes for plotting code or I need to create another file app.py for plotting routes? Here is how the boilerplate structure looks like:

...

ANSWER

Answered 2020-Feb-27 at 08:57

Looks like this project is using Blueprints, you should have a read here, You can add more routes as directed in the documentation.

Source https://stackoverflow.com/questions/60429372

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

Vulnerabilities

No vulnerabilities reported

Install flask-Dashboard

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