django-watson | text multi-table search application
kandi X-RAY | django-watson Summary
kandi X-RAY | django-watson Summary
django-watson is a Python library. django-watson has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install django-watson' or download it from GitHub, PyPI.
[GitHub license] django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search results.
[GitHub license] django-watson is a fast multi-model full-text search plugin for Django. It is easy to install and use, and provides high quality search results.
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Quality
Security
License
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Support
django-watson has a highly active ecosystem.
It has 1100 star(s) with 129 fork(s). There are 33 watchers for this library.
It had no major release in the last 12 months.
There are 18 open issues and 196 have been closed. On average issues are closed in 183 days. There are 3 open pull requests and 0 closed requests.
It has a positive sentiment in the developer community.
The latest version of django-watson is 1.6.2
Quality
django-watson has 0 bugs and 0 code smells.
Security
django-watson has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
django-watson code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
django-watson is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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django-watson releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
django-watson saves you 917 person hours of effort in developing the same functionality from scratch.
It has 2150 lines of code, 171 functions and 31 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed django-watson and discovered the below as its top functions. This is intended to give you an instant insight into django-watson implemented functionality, and help decide if they suit your requirements.
- Return a list of registered models
- Rebuild search index for given model
- Return the live queryset
- Return a list of search engines created
- Filters the queryset
- Return a regular expression
- Filter the queryset
- Escape a query
- Escape postgres query
- Searches for a given search text
- Filter queryset
- Returns a json response
- Performs the search query
- Perform the ranking
- Filters the queryset according to the ranking
- Do the search
- Register model with Watson
- Return the meta value
- Do a search
- Called when the client has finished
- Filters the queryset based on search
- Perform a ranking based on search
- Do search
- Start search context manager
- Post save function
- Determines if the current stack is invalid
Get all kandi verified functions for this library.
django-watson Key Features
No Key Features are available at this moment for django-watson.
django-watson Examples and Code Snippets
No Code Snippets are available at this moment for django-watson.
Community Discussions
No Community Discussions are available at this moment for django-watson.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-watson
You can install using 'pip install django-watson' or download it from GitHub, PyPI.
You can use django-watson 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-watson 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
Please read the [Getting Started][] guide for more information. [Getting Started]: https://github.com/etianen/django-watson/wiki "Getting started with django-watson". Download instructions, bug reporting and links to full documentation can be found at the [main project website][]. [main project website]: http://github.com/etianen/django-watson "django-watson on GitHub". You can keep up to date with the latest announcements by joining the [django-watson discussion group][]. [django-watson discussion group]: http://groups.google.com/group/django-watson "django-watson Google Group".
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