--- title: "lingua vs Hands-On-Large-Language-Models" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-lingua-vs-handsonllm-hands-on-large-language-models" tools: ["facebookresearch-lingua", "handsonllm-hands-on-large-language-models"] --- # lingua vs Hands-On-Large-Language-Models *GraphCanon updated Sep 20, 2026* ## Verdict Pick lingua if lingua is a Meta-developed Python framework focused on ease of modification and streamlined efficiency; pick Hands-On-Large-Language-Models if hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵. [lingua](https://github.com/facebookresearch/lingua) reports 4.8k GitHub stars, 270 forks, and 14 open issues, last pushed Jul 18, 2025. [Hands-On-Large-Language-Models](https://www.llm-book.com/) has 29k stars, 6.7k forks, and 40 open issues, last pushed Apr 24, 2026. Figures are from public GitHub metadata via [lingua's repository](https://github.com/facebookresearch/lingua) and [Hands-On-Large-Language-Models's repository](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models). | | [lingua](/tools/facebookresearch-lingua.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | | --- | --- | --- | | Tagline | Meta Lingua: a lean efficient easy-to-hack codebase to research LLMs | Code for the book 'Hands-On Large Language Models' | | Stars | 4,764 | 29,162 | | Forks | 270 | 6,662 | | Open issues | 14 | 40 | | Language | Python | Jupyter Notebook | | Adopt for | Lingua is a Meta-developed Python framework focused on ease of modification and streamlined efficiency. | Hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵 | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Apache-2.0 | | Categories | LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lingua](/tools/facebookresearch-lingua.md) | [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 415d | 146d | | Open issues (now) | 14 | 40 | | Stars delta | +1 (30d) | +910 (30d) | | Open issues delta | +1 (30d) | +2 (30d) | | Full report | [trust report](/tools/facebookresearch-lingua/trust.md) | [trust report](/tools/handsonllm-hands-on-large-language-models/trust.md) | ## Decision facts: lingua - **Adopt for:** Lingua is a Meta-developed Python framework focused on ease of modification and streamlined efficiency. ## Decision facts: Hands-On-Large-Language-Models - **Adopt for:** Hands-On-Large-Language-Models offers code examples and educational content for large language models, as detailed in the O'Reilly book 'Hands-On Large Language Models'. The repository is in Jupyter Notebook format and,遵 ## Choose when ### Choose lingua if… - lingua is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook. - License: lingua is BSD-3-Clause, Hands-On-Large-Language-Models is Apache-2.0. - Tags unique to lingua: python-framework, research-tools. - Use Lingua when your preference lies in a lean Python-based framework that emphasizes modifiability for LLM research. ### Choose Hands-On-Large-Language-Models if… - Hands-On-Large-Language-Models is primarily Jupyter Notebook; lingua is Python. - License: Hands-On-Large-Language-Models is Apache-2.0, lingua is BSD-3-Clause. - Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms. - Also covers Developer Tools. - Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'. ## When NOT to use lingua - Avoid Lingua if your project requires extensive pre-built functionalities that this lightweight framework does not provide out-of-the-box. - Not recommended for researchers or developers seeking a comprehensive suite of tools and who prefer a more feature-rich environment over modifiability. ## When NOT to use Hands-On-Large-Language-Models - Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning. - Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM. - If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit. ## Common questions ### What is the difference between lingua and Hands-On-Large-Language-Models? lingua: Meta Lingua: a lean efficient easy-to-hack codebase to research LLMs. Hands-On-Large-Language-Models: Code for the book 'Hands-On Large Language Models'. See the comparison table for live GitHub stats and shared categories. ### When should I choose lingua over Hands-On-Large-Language-Models? Choose lingua over Hands-On-Large-Language-Models when lingua is primarily Python; Hands-On-Large-Language-Models is Jupyter Notebook; License: lingua is BSD-3-Clause, Hands-On-Large-Language-Models is Apache-2.0; Tags unique to lingua: python-framework, research-tools; Use Lingua when your preference lies in a lean Python-based framework that emphasizes modifiability for LLM research. ### When should I choose Hands-On-Large-Language-Models over lingua? Choose Hands-On-Large-Language-Models over lingua when Hands-On-Large-Language-Models is primarily Jupyter Notebook; lingua is Python; License: Hands-On-Large-Language-Models is Apache-2.0, lingua is BSD-3-Clause; Tags unique to Hands-On-Large-Language-Models: artificial-intelligence, book, llm, llms; Also covers Developer Tools; Use this tool if you are looking for practical, code-based learning resources that align with the book 'Hands-On Large Language Models'. ### When should I avoid lingua? Avoid Lingua if your project requires extensive pre-built functionalities that this lightweight framework does not provide out-of-the-box. Not recommended for researchers or developers seeking a comprehensive suite of tools and who prefer a more feature-rich environment over modifiability. ### When should I avoid Hands-On-Large-Language-Models? Avoid this tool if you are seeking a comprehensive theoretical background without practical examples, as the focus is on hands-on learning. Not recommended for users who prefer a different platform for running code examples, as the repository is optimized for Google Colab with a T4 GPU and 16GB VRAM. If you are looking for a tool that covers a broader range of AI topics beyond large language models, this repository may not be the best fit. ### Is lingua or Hands-On-Large-Language-Models more popular on GitHub? Hands-On-Large-Language-Models has more GitHub stars (29,162 vs 4,764). Stars measure visibility, not whether either tool fits your constraints. ### Are lingua and Hands-On-Large-Language-Models open source? Yes - both are open-source projects on GitHub (lingua: BSD-3-Clause, Hands-On-Large-Language-Models: Apache-2.0). ### Where can I find alternatives to lingua or Hands-On-Large-Language-Models? GraphCanon lists graph-backed alternatives at [lingua alternatives](/tools/facebookresearch-lingua/alternatives) and [Hands-On-Large-Language-Models alternatives](/tools/handsonllm-hands-on-large-language-models/alternatives) ([lingua markdown twin](/tools/facebookresearch-lingua/alternatives.md), [Hands-On-Large-Language-Models markdown twin](/tools/handsonllm-hands-on-large-language-models/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/facebookresearch-lingua-vs-handsonllm-hands-on-large-language-models.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lingua or Hands-On-Large-Language-Models? lingua: Dormant. Hands-On-Large-Language-Models: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for lingua and Hands-On-Large-Language-Models? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lingua trust report](/tools/facebookresearch-lingua/trust); [Hands-On-Large-Language-Models trust report](/tools/handsonllm-hands-on-large-language-models/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=facebookresearch-lingua`](/api/graphcanon/graph?tool=facebookresearch-lingua) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_