#calculation3 plugins

Obsidian plugins tagged with #calculation. There are 3 plugins in this collection.

  1. Rank 1

    CalcCraft

    Plugin45
    2 years ago by Claudiu Ivan

    The CalcCraft plugin transforms tables in Obsidian into functional spreadsheets, enabling dynamic calculations and formula evaluations directly within notes. Users can leverage spreadsheet-like references and math operations to compute values in live-preview or read modes while editing remains visible in source mode. The plugin supports a broad range of functions, including summation, conditional formatting, matrix operations, and unit conversions, powered by Math.js. Interactive features like cell dependency highlighting help track data flow, enhancing clarity for complex calculations. This tool is ideal for users who need advanced mathematical or tabular data manipulations within their vaults.

  2. Rank 2
    3 years ago by monesga

    The Sigma plugin is designed for users who need to perform calculations directly within Obsidian. With support for a wide variety of mathematical expressions, the plugin allows users to conduct complex operations, such as financial planning, tracking expenses, or conversions, within their notes. It includes features like hierarchical calculations, variable assignment, scientific functions, and customizable output formatting. The plugin also supports token simulation, automatic block-level totals, and exporting results in clean HTML tables. It's ideal for users who want a powerful calculation tool embedded in their note-taking workflow.

  3. Rank 3

    pycalc

    Plugin31
    a year ago by pycalc
    Coding & Technical Tools#python#calculation#automation

    The pycalc plugin allows users to execute Python code directly within Obsidian notes, providing an interactive way to perform calculations and automate workflows. By leveraging Brython, the plugin runs Python scripts seamlessly within the editor, enabling quick data processing without leaving the note-taking environment. It enhances productivity by offering an efficient solution for users who frequently work with Python code for computations, automation, or analysis.