pyDatalog

[!NOTE] In view of the 300 stars on GitHub (Thanks !!), I have restarted support of this package in June 2026.

Installation

You can install pyDatalog from PyPI using pip:

pip install pyDatalog

Or using uv:

uv add pyDatalog

[!NOTE] 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.

Documentation

The official documentation, including tutorials and API references, is available at pydatalog.readthedocs.io.

Description

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 = SQL + recursivity

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.

As simple as Excel

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.

Testimonials

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.

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pyDatalog 0.22.4

pyDatalog

Installation

Documentation

Description

Datalog = SQL + recursivity

As simple as Excel

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