by causalNLP · Agent Tool · ★ 27
Causal AI Scientist: Facilitating Causal Data Science with Large Language Models [Code] • [Paper] Causal AI Scientist (CAIS) is an LLM-powered tool for generating data-driven answers to natural language causal queries. Given a natural language query (e.g., "Does participating in a job training program lead to higher income?"), an accompanying dataset, and its description, CAIS frames a suitable causal estimation problem, selects an appropriate inference method, executes it, runs diagnostic checks, and interprets the results in plain language.
| Stars | 27 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.2967660881511/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-18 |
| Created | 2025-06-13 |
| Platforms | python |
| Est. Tokens | ~15k |
These tools work well together with causal-agent for enhanced workflows:
Explore other popular agent tool tools:
causal-agent is Causal AI Scientist (CAIS) is an LLM-powered tool for generating data-driven answers to natural language causal queries.. It is categorized as a Agent Tool with 27 GitHub stars.
causal-agent is primarily written in Python. It covers topics such as ai-agents, causal-inference, causality.
You can find installation instructions and usage details in the causal-agent GitHub repository at github.com/causalNLP/causal-agent. The project has 27 stars and 14 forks, indicating an active community.
causal-agent is released under the MIT license, making it free to use and modify according to the license terms.