QLever
This repository provides a self-documenting and easy-to-use command-line tool for QLever (pronounced "Clever"), a graph database implementing the RDF and SPARQL standards. For a detailed description of what QLever is and what it can do, see here.
Documentation
View the latest documentation at https://docs.qlever.dev/quickstart.
Installation
There are native packages available for
On other platforms simply install the qlever command-line
python package using pipx/uv.
Note: QLever will be executed in a container which will come with a performance penalty.
Use with your own dataset
To use QLever with your own dataset, you need a Qleverfile, like in the
example above. The easiest way to write a Qleverfile is to get one of the
existing ones (using qlever setup-config ...) and then
change it according to your needs. Pick one for a dataset that is similar to
yours and when in doubt, pick olympics. A
reference of all options is available.
For developers
The (Python) code for the script is in the *.py files in src/qlever. The
preconfigured Qleverfiles are in src/qlever/Qleverfiles.
If you want to make changes to the script, or add new commands, do as follows:
git clone https://github.com/ad-freiburg/qlever-control
cd qlever-control
pip install -e ".[dev]"
# To also render index resource-usage plots, add the "plot" extra:
# pip install -e ".[dev,plot]"
Then you can use qlever just as if you had installed it via pip install qlever. Note that you don't have to rerun pip install -e ".[dev]" when you modify
any of the *.py files and not even when you add new commands in
src/qlever/commands. The executable created by pip simply links and refers
to the files in your working copy.
If you have bug fixes or new useful features or commands, please open a pull
request. If you have questions or suggestions, please open an issue. Files have
to be formatted and linted with ruff:
# manually
ruff format
ruff check
# runs automatically before every commit
pre-commit install
1 maintainer
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