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jevframe

Python library that adds a .jev accessor on pandas and Polars DataFrames: classify, score, and ask natural-language questions per row with TypeSafe…

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From the repository

Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.

asynciodata-labelingdata-sciencedataframejevmarimonatural-language-processingpandaspolarspythonsentiment-analysisstructured-outputtext-classificationtypesafe-ai

How builders describe it

Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.

Python library that adds a .jev accessor on pandas and Polars DataFrames: classify, score, and ask natural-language questions per row with TypeSafe Jev, returning structured Series/DataFrames with full probability distributions.

A Python library that adds .jev accessors to pandas and Polars: ask a natural-language question per row and get labels, scores, and full probability distributions back.

The decision Jev makes

Any Jev question: yes or no, a choice, or a score, from your own stack.

Where it fits

Official and community SDKs, MCP servers and integrations for calling Jev from the languages and tools you already use. All 625 sdks & integrations projects →

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