# KalyanKS-NLP/llm-engineer-toolkit

A curated list of  120+ LLM libraries category wise.

Repository: https://github.com/KalyanKS-NLP/llm-engineer-toolkit
Canonical: https://ross.abutalabs.com/products/llm-engineer-toolkit
Homepage: https://www.linkedin.com/in/kalyanksnlp/
License: Apache-2.0
License Family: permissive
Topics: ai-engineer, generative-ai, large-language-models, llms, llm-engineer
Last push: 2026-08-25T04:55:56+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 38
- inputs: {"age_days": 542, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10775, forks 1684 (observed 2026-08-28T04:10:44.235691+00:00)

## What it is
A curated list of 120+ LLM libraries organized by category, covering training, inference, RAG, agents, evaluation, and more. It serves as a reference directory for LLM engineers discovering tooling across the generative AI ecosystem.

## Use cases
- find libraries for building LLM applications
- discover RAG and agent frameworks
- compare LLM inference and serving tools
- find LLM evaluation and monitoring tools
- explore the generative AI tooling ecosystem
- find fine-tuning and training libraries for LLMs

## When to choose
- you want a broad, categorized overview of the LLM tooling landscape
- you're starting an LLM project and need to survey available libraries
- you want a regularly updated reference of LLM resources

## When to avoid
- you need working software rather than a list of links
- you need in-depth tutorials or documentation for a specific tool
- you need non-LLM machine learning libraries

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: large-language-models, artificial-intelligence, awesome-lists, tutorials
- platform: cross-platform
- tags: curated-list, awesome-list, llm-libraries, generative-ai, resource-directory

## Member repositories
- KalyanKS-NLP/llm-engineer-toolkit (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:44.235691+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:17:52.516267+00:00, confidence not recorded.
  - readme: https://github.com/KalyanKS-NLP/llm-engineer-toolkit (fetched 2026-08-28T04:10:44.235691+00:00, sha 29e927f79527)
- Data as of 2026-08-30T08:39:29.467469+00:00.