{"library":"snuggs","title":"Snuggs","type":"library","description":"Snuggs is a Python library that provides s-expressions for Numpy, allowing users to define and evaluate array computations using a Lisp-like syntax. It is currently at version 1.4.7 and appears to have a stable, though not frequently updated, release cadence, with the last release in September 2019.","language":"python","status":"active","last_verified":"Sat May 16","install":{"commands":["pip install snuggs"],"cli":null},"imports":["import snuggs"],"auth":{"required":false,"env_vars":[]},"links":{"homepage":null,"github":"https://github.com/mapbox/snuggs","docs":null,"changelog":null,"pypi":"https://pypi.org/project/snuggs/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null},"quickstart":{"code":"import snuggs\nimport numpy as np\n\n# Basic arithmetic\nresult_add = snuggs.eval('(+ 1 2)')\nprint(f\"Addition: {result_add}\")\n\n# Array creation and multiplication\nresult_multiply_array = snuggs.eval(\"(* 3.5 (asarray 1 1))\")\nprint(f\"Multiply with array: {result_multiply_array}\")\n\n# Evaluation with a local context\nctx_array = np.array([2, 2])\nresult_context = snuggs.eval(\"(+ (asarray 1 1) b)\", b=ctx_array)\nprint(f\"With context: {result_context}\")","lang":"python","description":"This quickstart demonstrates basic arithmetic operations, array creation using `asarray`, and evaluating expressions with a local context. The `snuggs.eval()` function is central to executing s-expressions.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-16","installed_version":"1.4.7","pypi_latest":"1.4.7","is_stale":false,"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.8,"avg_import_s":0.5,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":null,"import_time_s":0.49,"mem_mb":12.5,"disk_size":"90.3M"},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim (glibc)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":3.9,"import_time_s":0.38,"mem_mb":12.5,"disk_size":"87M"},{"runtime":"python:3.11-alpine","python_version":"3.11","os_libc":"alpine (musl)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":null,"import_time_s":0.62,"mem_mb":13.1,"disk_size":"98.0M"},{"runtime":"python:3.11-slim","python_version":"3.11","os_libc":"slim (glibc)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":3.6,"import_time_s":0.52,"mem_mb":13.1,"disk_size":"94M"},{"runtime":"python:3.12-alpine","python_version":"3.12","os_libc":"alpine (musl)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":null,"import_time_s":0.57,"mem_mb":12.8,"disk_size":"86.4M"},{"runtime":"python:3.12-slim","python_version":"3.12","os_libc":"slim (glibc)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":3.4,"import_time_s":0.58,"mem_mb":12.8,"disk_size":"82M"},{"runtime":"python:3.13-alpine","python_version":"3.13","os_libc":"alpine (musl)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":null,"import_time_s":0.49,"mem_mb":12.7,"disk_size":"85.9M"},{"runtime":"python:3.13-slim","python_version":"3.13","os_libc":"slim (glibc)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":3.5,"import_time_s":0.55,"mem_mb":12.7,"disk_size":"81M"},{"runtime":"python:3.9-alpine","python_version":"3.9","os_libc":"alpine (musl)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":null,"import_time_s":0.41,"mem_mb":12.3,"disk_size":"98.1M"},{"runtime":"python:3.9-slim","python_version":"3.9","os_libc":"slim (glibc)","variant":"snuggs","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"noisy","install_time_s":4.4,"import_time_s":0.38,"mem_mb":12.3,"disk_size":"97M"}]}}