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LLFn

orgexyz/LLFn

A lightweight framework for creating applications using LLMs

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

47views this month

96 stars7 forksLast push Jul 30, 2023 Python MIT

Decision brief

Lightweight, MIT-licensed Python framework for developing with Language Models

Good fit when

Ideal for prototyping and small-scale projects needing quick development cycles.
Suitable when a minimalistic approach is required to integrate LLMs into applications.

Avoid when

Avoid if requiring extensive customization or large-scale applications with complex scaling needs.
Not recommended for teams prioritizing enterprise-level support and service features.

Observed Jul 12, 2026 · Source: enrich:decision_facts

LLFn alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (1112d since push); As of Aug 16, 2026
Provenance: Not a fork · Organization account; As of Aug 16, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install LLFn

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

orgexyz/LLFn is a lightweight framework designed to facilitate the development of applications that leverage Language Model frameworks.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 16, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 16, 2026)

PyPi](https://pypi.org/project/llfn/). You can install LLFn using your favorite Python package management software.

Source link

README

Installation LLFn is available on PyPi. You can install LLFn using your favorite Python package management software. License LLFn is an open source software under the MIT license . This license allows use, modification, and distribution of the software. For complete details, plea...

For agents

This page has a .md twin and JSON over the API.

/tools/orgexyz-llfn.md GET /api/graphcanon/tools/orgexyz-llfn GET /api/graphcanon/graph?tool=orgexyz-llfn