Annif | Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums. This | Natural Language Processing library
kandi X-RAY | Annif Summary
kandi X-RAY | Annif Summary
Annif is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. Annif has no bugs, it has no vulnerabilities and it has low support. However Annif build file is not available and it has a Non-SPDX License. You can install using 'pip install Annif' or download it from GitHub, PyPI.
Annif is an automated subject indexing toolkit. It was originally created as a statistical automated indexing tool that used metadata from the Finna.fi discovery interface as a training corpus. This repo contains a rewritten production version of Annif based on the prototype. It is a work in progress, but already functional for many common tasks.
Annif is an automated subject indexing toolkit. It was originally created as a statistical automated indexing tool that used metadata from the Finna.fi discovery interface as a training corpus. This repo contains a rewritten production version of Annif based on the prototype. It is a work in progress, but already functional for many common tasks.
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Quality
Security
License
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Annif has a low active ecosystem.
It has 159 star(s) with 33 fork(s). There are 12 watchers for this library.
There were 1 major release(s) in the last 6 months.
There are 55 open issues and 246 have been closed. On average issues are closed in 123 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Annif is 1.1.0
Quality
Annif has 0 bugs and 0 code smells.
Security
Annif has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Annif code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Annif 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
Annif releases are available to install and integrate.
Deployable package is available in PyPI.
Annif has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Annif saves you 3074 person hours of effort in developing the same functionality from scratch.
It has 7795 lines of code, 736 functions and 89 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Annif and discovered the below as its top functions. This is intended to give you an instant insight into Annif implemented functionality, and help decide if they suit your requirements.
- Run an optimized optimizer .
- Compute metrics for each sample .
- Run an Eval .
- Convert a corpus into vectors .
- Prepare train data .
- Create a flask app .
- Convert candidates to feature matrix .
- Get the skos vocabulary .
- Given a source project and a corpus return a dense corpus .
- Run index on a project .
Get all kandi verified functions for this library.
Annif Key Features
No Key Features are available at this moment for Annif.
Annif Examples and Code Snippets
No Code Snippets are available at this moment for Annif.
Community Discussions
Trending Discussions on Annif
QUESTION
DateTime::__construct(): Failed to parse time string (22/03/1983) at position 0 (2): Unexpected character
Asked 2021-Mar-14 at 00:37
I'm faced a problem in my function. In this function, I want to select the collaborator where date date birth is the date now. But the problem is that I have a error like: In Creator.php line 80:
DateTime::__construct(): Failed to parse time string (22/03/1983) at position 0 (2): Unexpected character
I need help
...ANSWER
Answered 2021-Mar-11 at 16:06Because Carbon does not understand d/m/Y format. You can use :
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Annif
You will need Python 3.7+ to install Annif. The recommended way is to install Annif from PyPI into a virtual environment.
You can use Annif as a pre-built Docker container. Please see the wiki documentation for details.
A development version of Annif can be installed by cloning the GitHub repository.
Switch into the repository directory.
You can use Annif as a pre-built Docker container. Please see the wiki documentation for details.
A development version of Annif can be installed by cloning the GitHub repository.
Switch into the repository directory.
Support
Many resources are available:.
Find more information at:
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