Structured Data Python Packages

partial-json-parser

Parse partial JSON generated by LLM

autogluon-tabular

Fast and Accurate ML in 3 Lines of Code

autogluon-core

Fast and Accurate ML in 3 Lines of Code

autogluon-features

Fast and Accurate ML in 3 Lines of Code

autogluon-common

Fast and Accurate ML in 3 Lines of Code

baml-py

The programming language for agents

langextract

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

autogluon-timeseries

Fast and Accurate ML in 3 Lines of Code

autogluon

Fast and Accurate ML in 3 Lines of Code

streamlit-pdf-viewer

Streamlit PDF viewer

autogluon-multimodal

Fast and Accurate ML in 3 Lines of Code

autogluon-text

Fast and Accurate ML in 3 Lines of Code

autogluon-vision

Fast and Accurate ML in 3 Lines of Code

autogluon-extra

Fast and Accurate ML in 3 Lines of Code

autogluon-mxnet

Fast and Accurate ML in 3 Lines of Code

autogluon-cloud

Train and deploy ML models in the cloud

gcf-proxy

MCP proxy: zero-code GCF adoption. Wraps any MCP server, converts JSON to GCF mid-flight. 53-71% fewer tokens. Works with any structured data.

gcf-python

GCF Python implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.

autogluon-eda

Fast and Accurate ML in 3 Lines of Code

metamessage

MetaMessage（mm）是一個結構化數據交換協議。自描述、自約束、自示例，實現了無損數據交換，是一種原生適配 AI + 人類 + 機器的下一代通用協議。

exstruct

Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.

argrelay

A data server for CLI tools = MCP + args search + Tab-completion directly in the standard shell.

cleanlab-studio

Client interface to Cleanlab Studio

jupyterlab-amphi

visual data prep powered by python