Note
In view of the 300 stars on GitHub (Thanks !!), I have restarted support of this package in June 2026.
You can install pyDatalog from PyPI using pip:
pip install pyDatalogOr using uv:
uv add pyDatalogNote
Pre-compiled binary wheels are provided for most common platforms and Python versions. A pure Python wheel is also published on PyPI for universal compatibility. If a platform-specific wheel is not available, your package manager (like pip or micropip) will automatically install the pure Python wheel, which runs natively on WebAssembly/Pyodide, mobile environments (like Pydroid 3), and all other architectures without requiring a C compiler.
If installation is requested from source (instead of from wheels) and fails, the library will gracefully fall back to its pure-Python implementation.
The official documentation, including tutorials and API references, is available at pydatalog.readthedocs.io.
A free video course, Learn Logic Programming in Python (pyDatalog): Full Course, is also available on YouTube.
pyDatalog adds the logic programming paradigm to Python's toolbox, in a pythonic way. You can now run logic queries on databases or Python objects, and use logic clauses to define python classes. In particular, pyDatalog can be used as a query language:
- it can perform multi-database queries (from memory datastore, 11 relational databases, and noSQL database with appropriate connectors)
- it is more expressive than SQL, with a cleaner syntax;
- it facilitates re-use of SQL code snippet (e.g. for frequent joins or formula);
Datalog is a truly declarative language derived from Prolog, with strong academic foundations. It complements Python very well for:
- managing complex sets of related information (e.g. in data integration or the semantic web).
- simulating intelligent behavior (e.g. in games),
- performing recursive algorithms (e.g. in network protocol, code and graph analysis, parsing)
- solving discrete constraint problems.
Datalog excels at accelerated development: Datalog programs are often shorter than their Python equivalent, and Datalog statements can be specified in any order, as simply as formula in a spreadsheet.
pyDatalog is cited in several scientific papers !
"Very neat. Datalog rocks" - Marck Carter. He has written a nice blog entry on unit conversion with Datalog.
"Congratulations for your wonderful work done in pyDatalog project" - Karamajit Kaur, researcher in India
You are also using pyDatalog ? Let us know.