llmexer is an open-source framework and CLI for creating and curating datasets, then designing, running, and evaluating LLM experiments. It supports datasets such as publications, metadata, and prompts for developers and ML researchers.
In the Data science & ML workbench space, llmexer takes a focused approach. Designing, running, and evaluating repeatable LLM experiments across curated datasets. llmexer is an open-source project aimed at ML researchers and developers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
vdmitriyev builds and maintains llmexer, and it first shipped in 2026. Development happens publicly on GitHub with 34 commits in the last 90 days. Key capabilities include dataset creation, dataset curation, and experiment design.
Summary written by a language model from the project’s public pages.
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