--- title: "ArXivChatGuru vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/redis-developer-arxivchatguru-vs-sindresorhus-awesome" tools: ["redis-developer-arxivchatguru", "sindresorhus-awesome"] --- # ArXivChatGuru vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick ArXivChatGuru when license: ArXivChatGuru is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ArXivChatGuru is MIT. [ArXivChatGuru](https://github.com/redis-developer/ArXivChatGuru) reports 562 GitHub stars, 76 forks, and 7 open issues, last pushed Mar 18, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [ArXivChatGuru's repository](https://github.com/redis-developer/ArXivChatGuru) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [ArXivChatGuru](/tools/redis-developer-arxivchatguru.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache. | 😎 Curated list of awesome topics including hardware resources | | Stars | 562 | 484,026 | | Forks | 76 | 35,799 | | Open issues | 7 | 92 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Data & Retrieval, LLM Frameworks, Vector Databases | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ArXivChatGuru](/tools/redis-developer-arxivchatguru.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 114d | 11d | | Open issues (now) | 7 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/redis-developer-arxivchatguru/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose ArXivChatGuru if… - License: ArXivChatGuru is MIT, awesome is CC0-1.0. - Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning. - Also covers Data & Retrieval, Vector Databases. ### Choose awesome if… - License: awesome is CC0-1.0, ArXivChatGuru is MIT. - Tags unique to awesome: awesome-list, resources. - More GitHub stars (484k vs 562) - visibility, not fit. ## When NOT to use ArXivChatGuru - Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between ArXivChatGuru and awesome? ArXivChatGuru: Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose ArXivChatGuru over awesome? Choose ArXivChatGuru over awesome when License: ArXivChatGuru is MIT, awesome is CC0-1.0; Tags unique to ArXivChatGuru: ai, arxiv, langchain, machine-learning; Also covers Data & Retrieval, Vector Databases. ### When should I choose awesome over ArXivChatGuru? Choose awesome over ArXivChatGuru when License: awesome is CC0-1.0, ArXivChatGuru is MIT; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 562) - visibility, not fit. ### When should I avoid ArXivChatGuru? Last GitHub push was 115 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on ArXivChatGuru. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is ArXivChatGuru or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 562). Stars measure visibility, not whether either tool fits your constraints. ### Are ArXivChatGuru and awesome open source? Yes - both are open-source projects on GitHub (ArXivChatGuru: MIT, awesome: CC0-1.0). ### Where can I find alternatives to ArXivChatGuru or awesome? GraphCanon lists graph-backed alternatives at [ArXivChatGuru alternatives](/tools/redis-developer-arxivchatguru/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([ArXivChatGuru markdown twin](/tools/redis-developer-arxivchatguru/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/redis-developer-arxivchatguru-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ArXivChatGuru or awesome? ArXivChatGuru: Slowing. awesome: Active. 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 ArXivChatGuru and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ArXivChatGuru trust report](/tools/redis-developer-arxivchatguru/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=redis-developer-arxivchatguru`](/api/graphcanon/graph?tool=redis-developer-arxivchatguru) - 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/_