ai-edge-eval
PulseGate's liveness check found it on 9 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 17 Jun 2026. How this is checked
ai-edge-eval is an open-source evaluation framework and CLI tool for benchmarking LiteRT LM and native language models. It enables AI researchers and ML engineers to run local evaluations and compare model performance.
Inferred · not functionally tested
Overview
5 featuresPurpose: Evaluating and benchmarking local language models and LiteRT LM models efficiently.
Inferred · not functionally tested
Audience: AI researchers and ML engineers
Inferred · not functionally tested
Functions: analytics
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: github.com. These links do not verify the individual claims.
In the LLM evaluation & benchmarks space, ai-edge-eval takes a focused approach. Inferred · not functionally tested: It focuses on evaluating and benchmarking local language models and LiteRT LM models efficiently. 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 (Apache-2.0). Basis unknown · not verified: ai-edge-eval is available on the web and the command line, and it can be self-hosted.
Behind ai-edge-eval is Google AI Edge, and it first shipped in 2026. The project is developed in the open on GitHub with 26 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include model evaluation, CLI runner, and LiteRT LM support.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Model evaluation
- CLI runner
- LiteRT LM support
- Native model support
- Framework integration
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about ai-edge-eval
- What is ai-edge-eval?
- Inferred · not functionally tested: Ai-edge-eval focuses on evaluating and benchmarking local language models and LiteRT LM models efficiently. It is catalogued under LLM evaluation & benchmarks on PulseGate.
- Who should use ai-edge-eval?
- Inferred · not functionally tested: ai-edge-eval is an open-source project built for AI researchers and ML engineers.
- Does ai-edge-eval have a free plan?
- Basis unknown · not verified: Yes — ai-edge-eval is open source under the Apache-2.0 license and free to use.
- What platforms does ai-edge-eval run on?
- Basis unknown · not verified: ai-edge-eval runs on the web and the command line. It can also be self-hosted.
- Is ai-edge-eval still active?
- PulseGate's liveness check found it on 9 Sep 2026. Its GitHub repository shows 26 commits in the last 90 days.
- What are alternatives to ai-edge-eval?
- Similar projects tracked by PulseGate include edge-ai-lab, ai-eval-forge, and evalite.edge-ai-labai-eval-forgeevalite
- Who develops ai-edge-eval?
- ai-edge-eval is developed by Google AI Edge.
- How long has ai-edge-eval been around?
- ai-edge-eval first shipped in 2026.
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