{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"}],"enrichment":{"capability":"Provides S-expression emulation using tuple-like objects that can be evaluated, cached, and extended with custom operators via multipledispatch.","skillfed_tags":["symbolic-computation","expression-trees","meta-programming"],"use_cases":["Build symbolic computation systems where mathematical or logical expressions are data structures that can be inspected, transformed, and evaluated.","Implement expression trees for domain-specific languages or interpreters that need to represent and evaluate nested operations.","Create meta-programming tools that treat function calls as composable, cacheable objects rather than immediate evaluations.","Extend custom node types (like AST nodes) to work with a unified operator/operand extraction and application interface.","Prototype Lisp-like or functional programming patterns in Python while maintaining tuple compatibility."],"what_it_does":"etuples provides a Python implementation of S-expressions\u2014a Lisp-like notation where code and data are both represented as nested lists\u2014using tuple-like objects. Each etuple wraps an operator (typically a callable) and its operands, and can be evaluated to produce a result. The package caches evaluation results so repeated access to the same etuple returns the same cached object, and tuple operations like slicing preserve both the etuple structure and its cached evaluation.\n\nThe package is built on multipledispatch, allowing you to extend rator (operator extraction), rands (operand extraction), and apply (operation application) to work with custom types beyond built-in etuples. This makes it useful for symbolic computation, expression trees, and meta-programming tasks where you need to manipulate and evaluate nested function calls as first-class data structures.","worth_installing":"Yes, if you need S-expression-like symbolic computation in Python. The package is lightweight, has no security vulnerabilities, and carries a permissive license. The aging maintenance status (396 days since last release) is a minor concern for a stable library, but the recent repository activity and lack of open issues suggest it is not abandoned. Install it for expression trees, symbolic manipulation, or meta-programming; skip it if you only need standard tuple operations."},"id":"etuples","links":{"html":"https://skillfed.io/packages/etuples","md":"https://skillfed.io/packages/etuples.md","pypi":"https://pypi.org/project/etuples/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-07-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"etuples","python_support":"supports_current","summary":"Python S-expression emulation using tuple-like objects."},"popularity":{"monthly_downloads":1278094,"position":4121,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.3.10"}