django-dockit | Provides a document based ORM suite modelled after Django
kandi X-RAY | django-dockit Summary
kandi X-RAY | django-dockit Summary
django-dockit is a Python library. django-dockit has no bugs, it has no vulnerabilities, it has build file available and it has low support. However django-dockit has a Non-SPDX License. You can download it from GitHub.
Provides a document based ORM suite modelled after Django's own conventions.
Provides a document based ORM suite modelled after Django's own conventions.
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Quality
Security
License
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Support
django-dockit has a low active ecosystem.
It has 29 star(s) with 8 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 13 open issues and 14 have been closed. On average issues are closed in 81 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of django-dockit is current.
Quality
django-dockit has 0 bugs and 0 code smells.
Security
django-dockit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-dockit code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-dockit 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-dockit 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.
django-dockit saves you 7802 person hours of effort in developing the same functionality from scratch.
It has 16076 lines of code, 1904 functions and 205 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-dockit and discovered the below as its top functions. This is intended to give you an instant insight into django-dockit implemented functionality, and help decide if they suit your requirements.
- Handle POST requests
- Returns the ID field name
- Return the id of the field
- Save changes to the object
- Handle a single M2M field
- Return an iterator
- Start a relational field
- Returns the list of objects to be displayed
- Create a new instance of this index
- Dispatch request
- Save the model
- Generate the index for this field
- Serialize an object
- Convert val to a primitive
- Handle a field
- Get a document by name
- Returns an indexed document query
- Returns the context data for this fragment
- Construct the default values
- Return the version number
- Register documents
- Return the string representation of the field
- Handle fk field
- Returns an object matching the query
- Returns the form class for this view
- Render a hidden input
Get all kandi verified functions for this library.
django-dockit Key Features
No Key Features are available at this moment for django-dockit.
django-dockit Examples and Code Snippets
No Code Snippets are available at this moment for django-dockit.
Community Discussions
No Community Discussions are available at this moment for django-dockit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-dockit
You can download it from GitHub.
You can use django-dockit 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-dockit 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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