--- title: "free-ai-resources-x vs LLMSurvey" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/celadaniel-free-ai-resources-x-vs-rucaibox-llmsurvey" tools: ["celadaniel-free-ai-resources-x", "rucaibox-llmsurvey"] --- # free-ai-resources-x vs LLMSurvey *GraphCanon updated Sep 24, 2026* ## Verdict Pick free-ai-resources-x if free-AI-Resources-X is a curated list of free AI resources covering key areas such as machine learning, deep learning, and data science, equipped with tools, APIs, datasets, and educational material; pick LLMSurvey if lLMSurvey is a repository that provides a comprehensive survey paper and resources on Large Language Models, including a beginner-friendly Chinese book and detailed content on. [free-ai-resources-x](https://github.com/CelaDaniel/free-ai-resources-x/) reports 889 GitHub stars, 127 forks, and 7 open issues, last pushed May 21, 2026. [LLMSurvey](https://arxiv.org/abs/2303.18223) has 12k stars, 930 forks, and 30 open issues, last pushed Mar 11, 2025. Figures are from public GitHub metadata via [free-ai-resources-x's repository](https://github.com/CelaDaniel/free-ai-resources-x) and [LLMSurvey's repository](https://github.com/RUCAIBox/LLMSurvey). | | [free-ai-resources-x](/tools/celadaniel-free-ai-resources-x.md) | [LLMSurvey](/tools/rucaibox-llmsurvey.md) | | --- | --- | --- | | Tagline | A curated collection of free AI resources | A collection of papers and resources related to Large Language Models | | Stars | 889 | 12,216 | | Forks | 127 | 930 | | Open issues | 7 | 30 | | Language | - | Python | | Adopt for | Free-AI-Resources-X is a curated list of free AI resources covering key areas such as machine learning, deep learning, and data science, equipped with tools, APIs, datasets, and educational material. | LLMSurvey is a repository that provides a comprehensive survey paper and resources on Large Language Models, including a beginner-friendly Chinese book and detailed content on long chain-of-thought reasoning. | | Persona | - | - | | Runtime | - | - | | License | MIT | The license information for LLMSurvey is unknown. | | Categories | Computer Vision, Developer Tools, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [free-ai-resources-x](/tools/celadaniel-free-ai-resources-x.md) | [LLMSurvey](/tools/rucaibox-llmsurvey.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 125d | 555d | | Open issues (now) | 7 | 30 | | Stars delta | +180 (30d) | +11 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/celadaniel-free-ai-resources-x/trust.md) | [trust report](/tools/rucaibox-llmsurvey/trust.md) | ## Decision facts: free-ai-resources-x - **Adopt for:** Free-AI-Resources-X is a curated list of free AI resources covering key areas such as machine learning, deep learning, and data science, equipped with tools, APIs, datasets, and educational material. ## Decision facts: LLMSurvey - **Pricing:** freemium - The repository is free to access, but the Chinese book is available for purchase. - **Requirements:** Min 4 GB RAM; A basic understanding of deep learning is recommended for the Chinese book. - **Adopt for:** LLMSurvey is a repository that provides a comprehensive survey paper and resources on Large Language Models, including a beginner-friendly Chinese book and detailed content on long chain-of-thought reasoning. - **License detail:** The license information for LLMSurvey is unknown. ## Choose when ### Choose free-ai-resources-x if… - Tags unique to free-ai-resources-x: ai-agents, ai-tools, computer-vision, data-science. - Also covers Computer Vision, Developer Tools. - - You require access to various free frameworks like PyTorch or TensorFlow for machine learning model development ### Choose LLMSurvey if… - Pricing: The repository is free to access, but the Chinese book is available for purchase.. - Requirements: Min 4 GB RAM; A basic understanding of deep learning is recommended for the Chinese book.. - Tags unique to LLMSurvey: chain-of-thought, chatgpt, in-context-learning, instruction-tuning. - Use LLMSurvey when you need a detailed survey paper and resources on Large Language Models, especially if you are interested in long chain-of-thought reasoning. ## When NOT to use free-ai-resources-x - - You seek proprietary tools or prefer paid subscriptions with more comprehensive support offerings - - Your application demands specialized hardware not covered by the general categories presented here ## When NOT to use LLMSurvey - Avoid LLMSurvey if you are looking for a tool that provides hands-on training or implementation of LLMs, as it focuses more on theoretical resources and surveys. - Do not use LLMSurvey if you require real-time updates or interactive tools for LLM development, as it primarily offers static content and resources. ## Common questions ### What is the difference between free-ai-resources-x and LLMSurvey? free-ai-resources-x: A curated collection of free AI resources. LLMSurvey: A collection of papers and resources related to Large Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose free-ai-resources-x over LLMSurvey? Choose free-ai-resources-x over LLMSurvey when Tags unique to free-ai-resources-x: ai-agents, ai-tools, computer-vision, data-science; Also covers Computer Vision, Developer Tools; - You require access to various free frameworks like PyTorch or TensorFlow for machine learning model development. ### When should I choose LLMSurvey over free-ai-resources-x? Choose LLMSurvey over free-ai-resources-x when Pricing: The repository is free to access, but the Chinese book is available for purchase.; Requirements: Min 4 GB RAM; A basic understanding of deep learning is recommended for the Chinese book.; Tags unique to LLMSurvey: chain-of-thought, chatgpt, in-context-learning, instruction-tuning; Use LLMSurvey when you need a detailed survey paper and resources on Large Language Models, especially if you are interested in long chain-of-thought reasoning. ### When should I avoid free-ai-resources-x? - You seek proprietary tools or prefer paid subscriptions with more comprehensive support offerings - Your application demands specialized hardware not covered by the general categories presented here ### When should I avoid LLMSurvey? Avoid LLMSurvey if you are looking for a tool that provides hands-on training or implementation of LLMs, as it focuses more on theoretical resources and surveys. Do not use LLMSurvey if you require real-time updates or interactive tools for LLM development, as it primarily offers static content and resources. ### Is free-ai-resources-x or LLMSurvey more popular on GitHub? LLMSurvey has more GitHub stars (12,216 vs 889). Stars measure visibility, not whether either tool fits your constraints. ### Are free-ai-resources-x and LLMSurvey open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to free-ai-resources-x or LLMSurvey? GraphCanon lists graph-backed alternatives at [free-ai-resources-x alternatives](/tools/celadaniel-free-ai-resources-x/alternatives) and [LLMSurvey alternatives](/tools/rucaibox-llmsurvey/alternatives) ([free-ai-resources-x markdown twin](/tools/celadaniel-free-ai-resources-x/alternatives.md), [LLMSurvey markdown twin](/tools/rucaibox-llmsurvey/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/celadaniel-free-ai-resources-x-vs-rucaibox-llmsurvey.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, free-ai-resources-x or LLMSurvey? free-ai-resources-x: Slowing. LLMSurvey: 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 free-ai-resources-x and LLMSurvey? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [free-ai-resources-x trust report](/tools/celadaniel-free-ai-resources-x/trust); [LLMSurvey trust report](/tools/rucaibox-llmsurvey/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=celadaniel-free-ai-resources-x`](/api/graphcanon/graph?tool=celadaniel-free-ai-resources-x) - 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/_