Hi team,
I'm a huge fan of danfojs for its pandas-like power in JS. Your library excels at handling structured historical datasets, but what if we could quantify them with temporal phases?
CTHmodules (https://github.com/AlejoMalia/CTHmodules) is an open-source JS framework that converts qualitative events into measurable CTH scores (0-1) across 5 phases (Before, Prelude, During, Transition, After). It adds ΔCTH deltas, EVEI impact, and predictive PEE projections.
What CTHmodules can do with danfojs: Embed CTH analysis directly into DataFrames e.g., df.cthAnalyze('event_column') to auto-compute phases from timestamps, detect Black Swans, and forecast trends. This would turn raw history data into predictive sociohistorical insights.
Would love to collaborate on a plugin or example! Here's a starter: CTHmodules Wiki.
Best,
Alejo
Hi team,
I'm a huge fan of danfojs for its pandas-like power in JS. Your library excels at handling structured historical datasets, but what if we could quantify them with temporal phases?
CTHmodules (https://github.com/AlejoMalia/CTHmodules) is an open-source JS framework that converts qualitative events into measurable CTH scores (0-1) across 5 phases (Before, Prelude, During, Transition, After). It adds ΔCTH deltas, EVEI impact, and predictive PEE projections.
What CTHmodules can do with danfojs: Embed CTH analysis directly into DataFrames e.g., df.cthAnalyze('event_column') to auto-compute phases from timestamps, detect Black Swans, and forecast trends. This would turn raw history data into predictive sociohistorical insights.
Would love to collaborate on a plugin or example! Here's a starter: CTHmodules Wiki.
Best,
Alejo