Show HN: AWKLog – a minimalist Datalog interpreter in Awk
For many of the projects I work on I found myself wanting to use a relational language like Datalog to generate C source from specifications, do verification during build or maintain a task database. However pulling a full blown Souffle or SWI-PL as a build dependency is always a PITA and also an overkill. So I (with the help of Claude) built awklog, a pure POSIX awk based interpreter. Copy it to your project and use during build stage or test stage with no extra dependencies. It's a semi-naive
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points · 3 votes
2026-11-02 17:15:26.567Z
cumulative since publication
Research analysis
Project record
Repository: stass/awklog. Source account: For many of the projects I work on I found myself wanting to use a relational language like Datalog to generate C source from specifications, do verification during build or maintain a task database. However pulling a full blown Souffle or SWI-PL as a build dependency is always a PITA and also an overkill. So I (with the help of Claude) built awklog, a pure POSIX awk based interpreter. Copy it to your project and use during build stage or test stage with no extra dependencies. It's a semi-naive
Observed adoption & comparisons
Source votes: 3 votes (Nov 2, 2026 UTC; cumulative since publication); previous same-scope observation: 1 (Nov 2, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “ConardLi/garden-skills” (GitHub Trending, Nov 5, 2026); “Usagi-org/ai-goofish-monitor” (GitHub Trending, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.
Next test
Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.