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LLFn

orgexyz/LLFn

A lightweight framework for creating applications using LLMs

GraphCanon updated 6d · GitHub synced 6d

96 stars7 forksLast push 3y 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

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (1112d since push)
As of 6d
Provenance
Not a fork · Organization account
As of 6d
Security (OSV)
No lockfile
As of 1mo

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

Install

pip install LLFn
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

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

Categories

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

Tags

README

Installation

LLFn is available on PyPi. You can install LLFn using your favorite Python package management software.

$ pip install llfn # If you use pip
$ poetry add llfn # If you use poetry

License

LLFn is an open-source software under the MIT license. This license allows use, modification, and distribution of the software. For complete details, please see the LICENSE file in this repository.

For agents

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

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