# ZacKeskin/PyCausality

<https://repo.masters-masters.com/en/repos/ZacKeskin/PyCausality>

[Home](https://repo.masters-masters.com/en) › [ZacKeskin](https://repo.masters-masters.com/en/owners/ZacKeskin) › [PyCausality](https://repo.masters-masters.com/en/repos/ZacKeskin/PyCausality)

ZacKeskin/PyCausality has 115 stars on GitHub. Its RepoMasters card: Prototype tier. Calculate predictive causality between time series using… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [ZacKeskin](https://repo.masters-masters.com/en/owners/ZacKeskin) |
| Stars | 115 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ZacKeskin/PyCausality](https://github.com/ZacKeskin/PyCausality) |

## Repository

Calculate predictive causality between time series using information-theoretic techniques

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.