What is ConvoKit?

53/100
Trust Score (D)
⚠️ Use Caution

ConvoKit is a AI tool that ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use . It has a Nerq Trust Score of 53/100 (D). 622 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

53
TRUST SCORE
D
GRADE
622
STARS
0
DOWNLOADS

What ConvoKit Does

ConvoKit is a tool in the AI tool category. ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.. It is published by an independent developer and has no specified license. With 622 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use ConvoKit

ConvoKit is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=cornellnlp-convokit

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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openclaw75218.2K
tensorflow62193.9K
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ollama64163.0K

Frequently Asked Questions

What is ConvoKit used for?
ConvoKit is a AI tool tool. ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use .
Is ConvoKit free?
License: Check project page. ConvoKit has 622 GitHub stars.
Is ConvoKit safe?
ConvoKit has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to ConvoKit?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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