AI and models · Independent · 23 Oct 2026

lotus-data/lotus

Optimized Agentic and LLM Bulk Processing Over Your Data

← AI and models

In simple English

This tool helps you process thousands of documents using artificial intelligence. You write simple instructions in plain English instead of complex code. It splits your data and sends it to language models to find patterns, extract facts, or check quality. The system organizes the work behind the scenes to save time and reduce money spent on API fees. It is free to download and use, but you will pay external companies for the language model calls.

What it is

LOTUS is a Python library for bulk processing unstructured text using language models and autonomous agents. It introduces specialized operations like map, filter, and reduce that understand natural language instructions.

What it is good for

Solo builders who need to analyze large volumes of text, run automated evaluations over outputs, or extract structured data from messy documents.

Stars1.7k
LicenceApache-2.0
Latestv1.2.4 (2026-07-03)checked 23 Oct 2026
Last code change2026-10-08
Written inPython
Setup effort
3 / 5
Payoff
4 / 5
Good
  • Processes large datasets with simple Python commands.
  • Optimizes model calls automatically to reduce costs and improve accuracy.
  • Supports autonomous agents that can run code to verify their own findings.
Watch for
  • Requires writing Python code and managing external API keys.
  • High volume document processing can incur large costs from language model providers.
  • Debugging complex multi-step agent pipelines can be difficult.
Replaces

Writing custom Python scripts to loop through large text datasets and call language model APIs manually.

Works well with

Pandas (a popular Python library for data manipulation and analysis).

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Install
pip install lotus-ai

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Data Enrichment & Collection › Data Enrichment.

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