django-fabtastic | A set of Fabric and Django management commands DUO
kandi X-RAY | django-fabtastic Summary
kandi X-RAY | django-fabtastic Summary
django-fabtastic is a Python library. django-fabtastic has no vulnerabilities, it has build file available and it has low support. However django-fabtastic has 1 bugs and it has a Non-SPDX License. You can install using 'pip install django-fabtastic' or download it from GitHub, PyPI.
A set of Fabric and Django management commands DUO uses.
A set of Fabric and Django management commands DUO uses.
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Quality
Security
License
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Support
django-fabtastic has a low active ecosystem.
It has 110 star(s) with 9 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
django-fabtastic has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django-fabtastic is 1.1
Quality
django-fabtastic has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 36 code smells.
Security
django-fabtastic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-fabtastic code analysis shows 0 unresolved vulnerabilities.
There are 2 security hotspots that need review.
License
django-fabtastic 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
django-fabtastic 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.
django-fabtastic saves you 227 person hours of effort in developing the same functionality from scratch.
It has 555 lines of code, 46 functions and 35 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-fabtastic and discovered the below as its top functions. This is intended to give you an instant insight into django-fabtastic implemented functionality, and help decide if they suit your requirements.
- Deploy the worker
- Flush the local cache
- Restart gunicorn worker
- Pull from GIT
- Get the path to a database dump
- Get database settings
- Get database setting
- Restore the database
- Returns the path to the dump file
- Syncs to the remote database
- Check if the current host has the given roles
- Compare requirements to the requirements file
- Parse requirements file
- Update requirements
- Restarts the supervisord program
- Collect static media
- Updates fabtastic
- Compress static static media
- Sync static media
- Restarts the supervisord program
- Backup DB to S3
- Get remote database
- Deploy git repository
Get all kandi verified functions for this library.
django-fabtastic Key Features
No Key Features are available at this moment for django-fabtastic.
django-fabtastic Examples and Code Snippets
No Code Snippets are available at this moment for django-fabtastic.
Community Discussions
No Community Discussions are available at this moment for django-fabtastic.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-fabtastic
You can install using 'pip install django-fabtastic' or download it from GitHub, PyPI.
You can use django-fabtastic 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.
You can use django-fabtastic 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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