mitdbg/palimpzest

A System for Optimized Semantic Computation

65
/ 100
Established

This is a tool for developers who use large language models (LLMs) to process data. It helps you build and optimize data pipelines where you feed in raw text or structured data, use LLMs to analyze or transform it, and get out cleaned, enriched, or summarized information. The primary users are software engineers or data scientists creating applications that rely on LLMs for semantic understanding and manipulation.

203 stars. Available on PyPI.

Use this if you are a developer building data pipelines with large language models and want to optimize their performance and cost.

Not ideal if you are looking for a no-code solution or a tool for basic LLM interaction without complex data pipeline orchestration.

LLM application development data pipeline optimization semantic data processing AI-powered analytics model orchestration
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 20 / 25

How are scores calculated?

Stars

203

Forks

37

Language

Python

License

MIT

Last pushed

Mar 13, 2026

Commits (30d)

0

Dependencies

31

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