Content & Writing · PyPI

llmevalkit

LLM evaluation, hallucination detection, AI content detection, compliance, document parsing, governance, security, observability, and multimodal testing. 61 metrics. Works with or without API.

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Details

Author
Venkatkumar Rajan
GitHub profile
@VK-Ant
Category
Content & Writing
Platform
PyPI
GitHub
https://github.com/VK-Ant/llmevalkit
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@VK-Ant

Overview

LLM evaluation, hallucination detection, AI content detection, compliance, document parsing, governance, security, observability, and multimodal testing. 61 metrics. Works with or without API.

Quick start

pip

pip install llmevalkit

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llmevalkit can do

llmragaigenerative-aifaithfulness
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Generative Ai — generative-ai task automation.
  • Faithfulness — faithfulness task automation.

Frequently asked questions

What is llmevalkit?
LLM evaluation, hallucination detection, AI content detection, compliance, document parsing, governance, security, observability, and multimodal testing. 61 metrics. Works with or without API.
How do I install llmevalkit?
Use pip: `pip install llmevalkit`. Full setup details on the source page linked above.
Is llmevalkit open source?
llmevalkit is published on PyPI.
What are alternatives to llmevalkit?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llmevalkit is sourced from PyPI, published by Venkatkumar Rajan.

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