# premAI-io/state-of-open-source-ai

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

Repository: https://github.com/premAI-io/state-of-open-source-ai
Canonical: https://ross.abutalabs.com/products/state-of-open-source-ai
Homepage: https://book.premai.io/state-of-open-source-ai
Language: TeX
License: NOASSERTION
License Family: other
Topics: book, jupyter-book, ai, ml, mlops, open-source, hacktoberfest
Last push: 2025-01-20T17:23:08+00:00

## Health v2 (maintenance only)
Score: 20/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 2, release rhythm 8, longevity 79
- inputs: {"age_days": 1119, "days_push": 590, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1637, forks 100 (observed 2026-08-28T04:05:14.871308+00:00)

## What it is
An open-source ebook, 'The State of Open Source AI (2023 Edition)', that surveys the open-source AI landscape including licences, model evaluations, datasets, and deployment. It is built from TeX/Jupyter Book sources and published at book.premai.io.

## Use cases
- catch up on the latest open source AI developments
- compare open-source LLM licences and legal pitfalls
- find benchmarks and leaderboards for text, visual, and audio models
- learn how to deploy open-source models
- get a glossary of new AI frameworks and tools
- understand the MLOps landscape for open-source AI

## When to choose
- you need a curated overview of the open-source AI ecosystem as of 2023
- you want a citable reference covering licences, evaluations, and deployment together
- you prefer reading a structured book over scattered blog posts

## When to avoid
- you need up-to-the-minute coverage of models released after 2023
- you want hands-on code tutorials rather than survey-style explanations
- you need a formal textbook with exercises

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning
- domain: artificial-intelligence, machine-learning, developer-tools, tutorials
- platform: cross-platform
- tags: ebook, jupyter-book, open-source-ai, mlops, model-evaluation, llm, guide, web-server

## Member repositories
- premAI-io/state-of-open-source-ai (main) score 20

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:14.871308+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 2026-08-30T03:46:44.373731+00:00, confidence not recorded.
  - readme: https://github.com/premAI-io/state-of-open-source-ai (fetched 2026-08-28T04:05:14.871308+00:00, sha d0547c49c73d)
  - homepage: https://book.premai.io/state-of-open-source-ai (fetched 2026-08-29T11:19:49.171654+00:00, sha 8b6bc20e6435)
- Data as of 2026-08-30T08:39:29.467469+00:00.