Is causalml Legit?
causalml has a Nerq Trust Score of 64/100 (C+). Verdict: LEGIT. Published by Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Jing Pan, Mike Yung, Zhenyu Zhao. 15.5K users. Updated June 2026.
LEGIT
Legitimacy Signals
| Signal | Status |
|---|---|
| Trust Score | 64/100 (C+) |
| Publisher | Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Jing Pan, Mike Yung, Zhenyu Zhao |
| Users/Downloads | 15.5K |
| Stars | 0 |
| License | Not specified |
FAQ
Is causalml legit?
Trust Score: 64/100 (C+). Verdict: legit.
Is causalml a real company?
causalml is published by Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Jing Pan, Mike Yung, Zhenyu Zhao. 15.5K users.
Can I trust causalml?
Yes — strong trust signals.
Is causalml a scam?
Scam indicators: none detected.
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Last updated June 2026. Trust scores based on automated analysis of public data.