A Python toolkit for causal inference and experimentation
Project description
Causalis - State-of-the-art robust causal inference for experiments and observational data in python
Official Documentation and Examples
Installation
Install from github directly
pip install git+https://github.com/causalis-causalcraft/Causalis.git
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
causalis-0.1.4.tar.gz
(123.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
causalis-0.1.4-py3-none-any.whl
(147.3 kB
view details)
File details
Details for the file causalis-0.1.4.tar.gz.
File metadata
- Download URL: causalis-0.1.4.tar.gz
- Upload date:
- Size: 123.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
61479514b8639d11a1e0d3665b42f9a2c7ad278102e62aa6ada6c86a2d9e5566
|
|
| MD5 |
236a439c588c92da99c979f313231156
|
|
| BLAKE2b-256 |
0f8e08e1002370caf69dbe9c4a1def88fdea85d2469f87ab3d1bab37baaad948
|
File details
Details for the file causalis-0.1.4-py3-none-any.whl.
File metadata
- Download URL: causalis-0.1.4-py3-none-any.whl
- Upload date:
- Size: 147.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dd5d9d20dd24e010fefff2ba2f9a9a4eaf32a5592e4e127349c575a2814639d8
|
|
| MD5 |
babe0161517dd155a72ba83da1edfafd
|
|
| BLAKE2b-256 |
ab7564c01c31a9aa4eb896ebc6e5b87784c51fc512409dac332d4ff0579d7771
|