llm-ekg
PulseGate's liveness check found it on 13 Sep 2026; it is registered on PyPI and has been in the index since 29 Jun 2026. How this is checked
llm-ekg is an open-source CLI tool that monitors the health of large language models by detecting degradation and hallucinations using mathematical and signal processing techniques. It is designed for AI researchers and ML engineers who need robust, language-agnostic model evaluation.
Inferred · not functionally tested
Overview
5 featuresPurpose: Detecting and monitoring performance degradation and hallucinations in large language models without relying on NLP techniques.
Inferred · not functionally tested
Audience: AI researchers and ML engineers
Inferred · not functionally tested
Functions: monitoring, analytics
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI · deployment: cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org. These links do not verify the individual claims.
llm-ekg sits in PulseGate's Agent evaluation & testing category. Inferred · not functionally tested: It focuses on detecting and monitoring performance degradation and hallucinations in large language models without relying on NLP techniques. Inferred · not functionally tested: It is built as an open-source project for AI researchers and ML engineers. Basis unknown · not verified: The project is open source (Open Source). Basis unknown · not verified: llm-ekg is available on the command line.
llm-ekg first shipped in 2026. Inferred · not functionally tested: Key capabilities include LLM monitoring, degradation detection, and hallucination detection.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- LLM monitoring
- Degradation detection
- Hallucination detection
- Mathematical analysis
- Signal processing
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about llm-ekg
- What is llm-ekg?
- Inferred · not functionally tested: Llm-ekg focuses on detecting and monitoring performance degradation and hallucinations in large language models without relying on NLP techniques. It is catalogued under Agent evaluation & testing on PulseGate.
- Who is llm-ekg for?
- Inferred · not functionally tested: llm-ekg is an open-source project built for AI researchers and ML engineers.
- Is llm-ekg free?
- Basis unknown · not verified: Yes — llm-ekg is open source under the Open Source license and free to use.
- What platforms does llm-ekg run on?
- Basis unknown · not verified: llm-ekg runs on the command line.
- Is llm-ekg still active?
- PulseGate's liveness check found it on 13 Sep 2026.
- What are alternatives to llm-ekg?
- Similar projects tracked by PulseGate include llm4s, llm-inspector, and llmeter.llm4sllm-inspectorllmeter
- How long has llm-ekg been around?
- llm-ekg first shipped in 2026.
- Is llm-ekg open source?
- Basis unknown · not verified: Yes — llm-ekg is open source under the Open Source license.
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