--- title: "synthadoc vs DistiLlama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/axoviq-ai-synthadoc-vs-shreyaskarnik-distillama" tools: ["axoviq-ai-synthadoc", "shreyaskarnik-distillama"] --- # synthadoc vs DistiLlama *GraphCanon updated Sep 20, 2026* ## Verdict Pick synthadoc if synthadoc is an open-source compilation engine that turns raw documents into structured wikis locally without using RAG techniques; pick DistiLlama if distiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy. [synthadoc](https://github.com/axoviq-ai/synthadoc) reports 1.2k GitHub stars, 123 forks, and 6 open issues, last pushed Sep 20, 2026. [DistiLlama](https://github.com/shreyaskarnik/DistiLlama) has 304 stars, 32 forks, and 9 open issues, last pushed Sep 2, 2024. Figures are from public GitHub metadata via [synthadoc's repository](https://github.com/axoviq-ai/synthadoc) and [DistiLlama's repository](https://github.com/shreyaskarnik/DistiLlama). | | [synthadoc](/tools/axoviq-ai-synthadoc.md) | [DistiLlama](/tools/shreyaskarnik-distillama.md) | | --- | --- | --- | | Tagline | An open-source LLM knowledge compilation engine turning raw documents into structured wikis | Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs | | Stars | 1,226 | 304 | | Forks | 123 | 32 | | Open issues | 6 | 9 | | Language | Python | TypeScript | | Adopt for | Synthadoc is an open-source compilation engine that turns raw documents into structured wikis locally without using RAG techniques. | DistiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [synthadoc](/tools/axoviq-ai-synthadoc.md) | [DistiLlama](/tools/shreyaskarnik-distillama.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 747d | | Open issues (now) | 6 | 9 | | Stars delta | +256 (30d) | 0 (30d) | | Open issues delta | -1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/axoviq-ai-synthadoc/trust.md) | [trust report](/tools/shreyaskarnik-distillama/trust.md) | ## Decision facts: synthadoc - **Adopt for:** Synthadoc is an open-source compilation engine that turns raw documents into structured wikis locally without using RAG techniques. ## Decision facts: DistiLlama - **Pricing:** freemium - DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models. - **Adopt for:** DistiLlama is a Chrome extension for summarizing and chatting with web pages and local documents using locally running language models to ensure data privacy. ## Choose when ### Choose synthadoc if… - synthadoc is primarily Python; DistiLlama is TypeScript. - License: synthadoc is AGPL-3.0, DistiLlama is MIT. - Tags unique to synthadoc: enterprise-solutions, knowledge-graph, personal-knowledge-management, synthetic-data. - Also covers Data & Retrieval. - Use Synthadoc when seeking transparency in the transformation of raw document data to a human-readable wiki format, offering local-first management and self-improvement capabilities. ### Choose DistiLlama if… - DistiLlama is primarily TypeScript; synthadoc is Python. - License: DistiLlama is MIT, synthadoc is AGPL-3.0. - Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models.. - Tags unique to DistiLlama: chrome-extension, langchain, llama2, privacy-preserving-computing. - Also covers AI Agents. - When you prioritize data privacy and prefer not to send sensitive information over the internet for processing. ## When NOT to use synthadoc - Do not use Synthadoc if you require traditional RAG techniques in handling document compilation, as this tool explicitly avoids them. - Avoid it when an integrated solution with third-party tools is needed since it focuses on being a standalone, self-managed and self-improved system. ## When NOT to use DistiLlama - If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively. - When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance. ## Common questions ### What is the difference between synthadoc and DistiLlama? synthadoc: An open-source LLM knowledge compilation engine turning raw documents into structured wikis. DistiLlama: Chrome Extension for Summarizing and Chatting with Web Pages/Local Docs Using Local LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose synthadoc over DistiLlama? Choose synthadoc over DistiLlama when synthadoc is primarily Python; DistiLlama is TypeScript; License: synthadoc is AGPL-3.0, DistiLlama is MIT; Tags unique to synthadoc: enterprise-solutions, knowledge-graph, personal-knowledge-management, synthetic-data; Also covers Data & Retrieval; Use Synthadoc when seeking transparency in the transformation of raw document data to a human-readable wiki format, offering local-first management and self-improvement capabilities. ### When should I choose DistiLlama over synthadoc? Choose DistiLlama over synthadoc when DistiLlama is primarily TypeScript; synthadoc is Python; License: DistiLlama is MIT, synthadoc is AGPL-3.0; Pricing: DistiLlama is free and open source software under the MIT license, however, users are responsible for maintaining and running their own local language models.; Tags unique to DistiLlama: chrome-extension, langchain, llama2, privacy-preserving-computing; Also covers AI Agents; When you prioritize data privacy and prefer not to send sensitive information over the internet for processing. ### When should I avoid synthadoc? Do not use Synthadoc if you require traditional RAG techniques in handling document compilation, as this tool explicitly avoids them. Avoid it when an integrated solution with third-party tools is needed since it focuses on being a standalone, self-managed and self-improved system. ### When should I avoid DistiLlama? If your setup does not support the execution of local language models, as this is a prerequisite for using DistiLlama effectively. When you require real-time interaction or access to cloud-based resources for more dynamic content generation since local LLMs may be limited by hardware performance. ### Is synthadoc or DistiLlama more popular on GitHub? synthadoc has more GitHub stars (1,226 vs 304). Stars measure visibility, not whether either tool fits your constraints. ### Are synthadoc and DistiLlama open source? Yes - both are open-source projects on GitHub (synthadoc: AGPL-3.0, DistiLlama: MIT). ### Where can I find alternatives to synthadoc or DistiLlama? GraphCanon lists graph-backed alternatives at [synthadoc alternatives](/tools/axoviq-ai-synthadoc/alternatives) and [DistiLlama alternatives](/tools/shreyaskarnik-distillama/alternatives) ([synthadoc markdown twin](/tools/axoviq-ai-synthadoc/alternatives.md), [DistiLlama markdown twin](/tools/shreyaskarnik-distillama/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/axoviq-ai-synthadoc-vs-shreyaskarnik-distillama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, synthadoc or DistiLlama? synthadoc: Very active. DistiLlama: Dormant. 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 synthadoc and DistiLlama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [synthadoc trust report](/tools/axoviq-ai-synthadoc/trust); [DistiLlama trust report](/tools/shreyaskarnik-distillama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=axoviq-ai-synthadoc`](/api/graphcanon/graph?tool=axoviq-ai-synthadoc) - 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/_