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
pipormicropip) 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.
1 maintainer
Release files for pyDatalog 0.22.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydatalog-0.22.4.tar.gz | 572.6 kB | Details |
Built distributions (wheels)
Total release size: 100.0 MB
Release files / pydatalog-0.22.4.tar.gz
| Download URL | pydatalog-0.22.4.tar.gz |
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| Tags | Source |
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Release files / pydatalog-0.22.4-py3-none-any.whl
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Release files / pydatalog-0.22.4-cp313-cp313-win_amd64.whl
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Release files / pydatalog-0.22.4-cp313-cp313-win32.whl
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Release files / pydatalog-0.22.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / pydatalog-0.22.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / pydatalog-0.22.4-cp311-cp311-macosx_11_0_arm64.whl
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Release files / pydatalog-0.22.4-cp310-cp310-win_amd64.whl
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Release files / pydatalog-0.22.4-cp310-cp310-win32.whl
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Release files / pydatalog-0.22.4-cp310-cp310-musllinux_1_2_x86_64.whl
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Release files / pydatalog-0.22.4-cp310-cp310-musllinux_1_2_i686.whl
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Release files / pydatalog-0.22.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / pydatalog-0.22.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / pydatalog-0.22.4-cp310-cp310-macosx_11_0_arm64.whl
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Release files / pydatalog-0.22.4-cp39-cp39-win_amd64.whl
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Release files / pydatalog-0.22.4-cp39-cp39-win32.whl
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Release files / pydatalog-0.22.4-cp39-cp39-musllinux_1_2_x86_64.whl
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Release files / pydatalog-0.22.4-cp39-cp39-musllinux_1_2_i686.whl
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Release files / pydatalog-0.22.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / pydatalog-0.22.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / pydatalog-0.22.4-cp39-cp39-macosx_11_0_arm64.whl
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Release files / pydatalog-0.22.4-cp38-cp38-win_amd64.whl
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Release files / pydatalog-0.22.4-cp38-cp38-win32.whl
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Release files / pydatalog-0.22.4-cp38-cp38-musllinux_1_2_x86_64.whl
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Release files / pydatalog-0.22.4-cp38-cp38-musllinux_1_2_i686.whl
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uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Release files / pydatalog-0.22.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | pydatalog-0.22.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 3.0 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Uploaded via |
uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Release files / pydatalog-0.22.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | pydatalog-0.22.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 3.0 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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Release files / pydatalog-0.22.4-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | pydatalog-0.22.4-cp38-cp38-macosx_11_0_arm64.whl |
|---|---|
| Size | 911.8 kB |
| Tags | CPython 3.8 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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