{"id":15043600,"url":"https://github.com/ganeshkbhat/numericalarrays","last_synced_at":"2026-01-05T03:41:28.413Z","repository":{"id":89210788,"uuid":"607180287","full_name":"ganeshkbhat/numericalarrays","owner":"ganeshkbhat","description":"numericalarrays offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more like NumPy. 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The goal was to be as near as NumPy as possible, however, a combination of a few packages were being done to make this a comprehensive port for major Python Scientific packages.\n\nThe version 0.0.2 will start having the actual usable ndarrays which is a python numpy like module.\n\n- rlib:\n\n```\n\n```\n\n\n- regression:\n\n```\n\n```\n\n- pickle:\n\n```\n\n```\n\n- extenders:\n\n```\n\n```\n\n- stats:\n\n```\n\n```\n\n- streamStats:\n\n```\n\n```\n\n- pyc:\nUsage:\n\n```\n\nconst { loadPyodide } = require(\"ndarrays\").pyc;\n\nasync function main() {\n  let pyodide = await loadPyodide();\n  console.log(pyodide.runPython(`\n    import sys\n    sys.version\n  `));\n};\nmain();\n\n```\n\nFollowing Packages have been used. A comprehensive package documentation will be done for the package.\n\n- `atoll`: `^0.7.4`,\n- `blasjs`: `^1.0.15`,\n  - Basic Linear Algebra SubPrograms (BLAS)\n- `d3-regression`: `^1.3.10`,\n  - Linear, Exponential, Logarithmic, Quadratic, Polynomial, Power law, LOESS\n- `datalib`: `^1.9.3`,\n- `extenders`: `^0.0.2`,\n- `jerzy`: `^0.2.1`,\n- `lib-r-math.js`: `^2.0.0`,\n- `mathjs`: `^11.8.2`,\n- `mod-pickle`: `^0.0.3`,\n- `natural`: `^6.5.0`,\n- `pyodide`: `^0.23.3`,\n- `scientist.js`: `^0.0.1`,\n  - Liner Algebra, Statistics\n- `simple-statistics`: `^7.8.3`,\n- `stream-statistics`: `^0.4.0`,\n- `vega-statistics`: `^1.9.0`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fganeshkbhat%2Fnumericalarrays","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fganeshkbhat%2Fnumericalarrays","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fganeshkbhat%2Fnumericalarrays/lists"}