[](https://zenodo.org/badge/latestdoi/100936800) [](https://opensource.org/licenses/Apache-2.0) [](https://quay.io/repository/natlibfi/annif) [](https://github.com/NatLibFi/Annif/actions/workflows/cicd.yml) [](https://codecov.io/gh/NatLibFi/Annif) [](https://scrutinizer-ci.com/g/NatLibFi/Annif/?branch=main) [](https://codeclimate.com/github/NatLibFi/Annif) [](https://securityscorecards.dev/viewer/?uri=github.com/NatLibFi/Annif) [](https://codebeat.co/projects/github-com-natlibfi-annif-main) [](https://github.com/NatLibFi/Annif/actions/workflows/codeql.yml) [](https://sonarcloud.io/dashboard?id=NatLibFi_Annif) [](https://annif.readthedocs.io/en/latest/index.html) [](https://github.com/psf/black) [](https://codespaces.new/NatLibFi/Annif-tutorial/tree/codespaces) Annif is an automated subject indexing toolkit. It was originally created as a statistical automated indexing tool that used metadata from the [Finna.fi](https://finna.fi) discovery interface as a training corpus. This repo contains a rewritten production version of Annif based on the [prototype](https://github.com/osma/annif). [Finto AI](https://ai.finto.fi/) is a service based on Annif; see the [source code of Finto AI](https://github.com/NatLibFi/FintoAI) and the [🤗 Hugging Face Hub collection](https://huggingface.co/collections/NatLibFi/annif-models-65b35fb98b7c508c8e8a1570) containing the models Finto AI uses. # Basic install Annif is developed and tested on Linux. If you want to run Annif on Windows or Mac OS, the recommended way is to use Docker (see below) or a Linux virtual machine. You will need Python 3.9-3.12 to install Annif. The recommended way is to install Annif from [PyPI](https://pypi.org/project/annif/) into a virtual environment. python3 -m venv annif-venv source annif-venv/bin/activate pip install annif You will also need NLTK data files: python -m nltk.downloader punkt Start up the application: annif See [Getting Started](https://github.com/NatLibFi/Annif/wiki/Getting-started) in the wiki for more details. ## Shell compeletions Annif supports tab-key completion in bash, zsh and fish shells for commands and options and project id, vocabulary id and path parameters. To enable the completion support in your current terminal session use `annif completion` command with the option according to your shell to produce the completion script and source it. For example, run source <(annif completion --bash) To enable the completion support in all new sessions first add the completion script in your home directory: annif completion --bash > ~/.annif-complete.bash Then make the script to be automatically sourced for new terminal sessions by adding the following to your `~/.bashrc` file (or in some [alternative startup file](https://www.gnu.org/software/bash/manual/html_node/Bash-Startup-Files.html)): source ~/.annif-complete.bash For details and usage for other shells see [Click documentation](https://click.palletsprojects.com/en/8.1.x/shell-completion/). # Docker install You can use Annif as a pre-built Docker container image from [quay.io/natlibfi/annif](https://quay.io/repository/natlibfi/annif) repository. Please see the [wiki documentation](https://github.com/NatLibFi/Annif/wiki/Usage-with-Docker) for details. # Development install A development version of Annif can be installed by cloning the [GitHub repository](https://github.com/NatLibFi/Annif). [Poetry](https://python-poetry.org/) is used for managing dependencies and virtual environment for the development version. See [CONTRIBUTING.md](CONTRIBUTING.md) for information on [unit tests](CONTRIBUTING.md#unit-tests), [code style](CONTRIBUTING.md#code-style), [development flow](CONTRIBUTING.md#development-flow) etc. details that are useful when participating in Annif development. ## Installation and setup Clone the repository. Switch into the repository directory. Install [pipx](https://pypa.github.io/pipx/) and Poetry if you don't have them. First pipx: python3 -m pip install --user pipx python3 -m pipx ensurepath Open a new shell, and then install Poetry: pipx install poetry Poetry can be installed also without pipx: check the [Poetry documentation](https://python-poetry.org/docs/master/#installation). Create a virtual environment and install dependencies: poetry install By default development dependencies are included. Use option `-E` to install dependencies for selected optional features (`-E "extra1 extra2"` for multiple extras), or install all of them with `--all-extras`. By default the virtual environment directory is not under the project directory, but there is a [setting for selecting this](https://python-poetry.org/docs/configuration/#virtualenvsin-project). Enter the virtual environment: poetry shell You will also need NLTK data files: python -m nltk.downloader punkt Start up the application: annif # Demo install in Codespaces Annif can be tried out in the [GitHub Codespaces](https://docs.github.com/en/codespaces). Just open a page for configuring a new codespace via the badge below, start the codespace from the green "Create codespace" button, and a terminal session will start in your browser with the contents of the [Annif-tutorial](https://github.com/NatLibFi/Annif-tutorial) repository: [](https://codespaces.new/NatLibFi/Annif-tutorial/tree/codespaces) # Getting help Many resources are available: * [Usage documentation in the wiki](https://github.com/NatLibFi/Annif/wiki) * [Annif tutorial](https://github.com/NatLibFi/Annif-tutorial) for learning to use Annif * [annif-users](https://groups.google.com/forum/#!forum/annif-users) discussion forum * [Internal API documentation](https://annif.readthedocs.io) on ReadTheDocs * [annif.org](https://annif.org) project web site # Publications / How to cite See below for some articles about Annif in peer-reviewed Open Access journals. The software itself is also archived on Zenodo and has a [citable DOI](https://doi.org/10.5281/zenodo.5654173). ## Citing the software itself See "Cite this repository" in the details of the repository. ## Annif articles

• Golub, K.; Suominen, O.; Mohammed, A.; Aagaard, H.; Osterman, O, 2024. Automated Dewey Decimal Classification of Swedish library metadata using Annif software. Journal of Documentation, in press. https://doi.org/10.1108/JD-01-2022-0026
  See BibTex

  @article{golub2024annif, title={Automated Dewey Decimal Classification of Swedish library metadata using Annif software}, author={Golub, Koraljka and Suominen, Osma and Mohammed, Ahmed Taiye and Aagaard, Harriet and Osterman, Olof}, journal={J. Doc.}, year={in press}, doi = {10.1108/JD-01-2022-0026}, url={https://www.emerald.com/insight/content/doi/10.1108/JD-01-2022-0026}, }
• Suominen, O.; Inkinen, J.; Lehtinen, M., 2022. Annif and Finto AI: Developing and Implementing Automated Subject Indexing. JLIS.It, 13(1), pp. 265–282. URL: https://www.jlis.it/index.php/jlis/article/view/437
  See BibTex

  @article{suominen2022annif, title={Annif and Finto AI: Developing and Implementing Automated Subject Indexing}, author={Suominen, Osma and Inkinen, Juho and Lehtinen, Mona}, journal={JLIS.it}, volume={13}, number={1}, pages={265--282}, year={2022}, doi = {10.4403/jlis.it-12740}, url={https://www.jlis.it/index.php/jlis/article/view/437}, }
• Suominen, O.; Koskenniemi, I, 2022. Annif Analyzer Shootout: Comparing text lemmatization methods for automated subject indexing. Code4Lib Journal, (54). URL: https://journal.code4lib.org/articles/16719
  See BibTex

  @article{suominen2022analyzer, title={Annif Analyzer Shootout: Comparing text lemmatization methods for automated subject indexing}, author={Suominen, Osma and Koskenniemi, Ilkka}, journal={Code4Lib J.}, number={54}, year={2022}, url={https://journal.code4lib.org/articles/16719}, }
• Suominen, O., 2019. Annif: DIY automated subject indexing using multiple algorithms. LIBER Quarterly, 29(1), pp.1–25. DOI: https://doi.org/10.18352/lq.10285
  See BibTex

  @article{suominen2019annif, title={Annif: DIY automated subject indexing using multiple algorithms}, author={Suominen, Osma}, journal={{LIBER} Quarterly}, volume={29}, number={1}, pages={1--25}, year={2019}, doi = {10.18352/lq.10285}, url = {https://doi.org/10.18352/lq.10285} }

# License The code in this repository is licensed under Apache License 2.0, except for the dependencies included under `annif/static/css` and `annif/static/js`, which have their own licenses, see the file headers for details. Please note that the [YAKE](https://github.com/LIAAD/yake) library is licended under [GPLv3](https://www.gnu.org/licenses/gpl-3.0.txt), while Annif is licensed under the Apache License 2.0. The licenses are compatible, but depending on legal interpretation, the terms of the GPLv3 (for example the requirement to publish corresponding source code when publishing an executable application) may be considered to apply to the whole of Annif+Yake if you decide to install the optional Yake dependency.