--- title: "DeepSeek-Coder vs awesome-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-coder-vs-formulahendry-awesome-gpt" tools: ["deepseek-ai-deepseek-coder", "formulahendry-awesome-gpt"] --- # DeepSeek-Coder vs awesome-gpt *GraphCanon updated Oct 11, 2026* ## Verdict Pick DeepSeek-Coder if deepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models; pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. [DeepSeek-Coder](https://chat.deepseek.com/) reports 24k GitHub stars, 2.9k forks, and 173 open issues, last pushed Nov 11, 2025. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 79 forks, and 31 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [DeepSeek-Coder's repository](https://github.com/deepseek-ai/DeepSeek-Coder) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt). | | [DeepSeek-Coder](/tools/deepseek-ai-deepseek-coder.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Tagline | DeepSeek Coder enables automatic code generation using AI. | Curated list of GPT and related resources | | Stars | 24,291 | 1,045 | | Forks | 2,929 | 79 | | Open issues | 173 | 31 | | Language | Python | - | | Adopt for | DeepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models. | awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepSeek-Coder](/tools/deepseek-ai-deepseek-coder.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 328d | 865d | | Open issues (now) | 173 | 31 | | Stars delta | +60 (30d) | +1 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/deepseek-ai-deepseek-coder/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | ## Decision facts: DeepSeek-Coder - **Adopt for:** DeepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models. ## Decision facts: awesome-gpt - **Pricing:** unknown - Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs. - **Requirements:** Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view - **Adopt for:** awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications. ## Choose when ### Choose DeepSeek-Coder if… - Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license. - - When you require an assist in writing Python scripts that are repetitive and well-defined - More GitHub stars (24k vs 1.0k) - visibility, not fit. ### Choose awesome-gpt if… - Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.. - Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view. - Tags unique to awesome-gpt: chatgpt, gpt, llm, openai. - Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ## When NOT to use DeepSeek-Coder - - When your project involves languages other than Python, given DeepSeek-Coder specifically serves Python programming - - If you need granular control over every line of code being generated; DeepSeek-Coder is best for generating well-defined chunks of code not bespoke individual lines ## When NOT to use awesome-gpt - Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. - Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ## Common questions ### What is the difference between DeepSeek-Coder and awesome-gpt? DeepSeek-Coder: DeepSeek Coder enables automatic code generation using AI.. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepSeek-Coder over awesome-gpt? Choose DeepSeek-Coder over awesome-gpt when Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license; - When you require an assist in writing Python scripts that are repetitive and well-defined; More GitHub stars (24k vs 1.0k) - visibility, not fit. ### When should I choose awesome-gpt over DeepSeek-Coder? Choose awesome-gpt over DeepSeek-Coder when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools. ### When should I avoid DeepSeek-Coder? - When your project involves languages other than Python, given DeepSeek-Coder specifically serves Python programming - If you need granular control over every line of code being generated; DeepSeek-Coder is best for generating well-defined chunks of code not bespoke individual lines ### When should I avoid awesome-gpt? Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation. ### Is DeepSeek-Coder or awesome-gpt more popular on GitHub? DeepSeek-Coder has more GitHub stars (24,291 vs 1,045). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepSeek-Coder and awesome-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to DeepSeek-Coder or awesome-gpt? GraphCanon lists graph-backed alternatives at [DeepSeek-Coder alternatives](/tools/deepseek-ai-deepseek-coder/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([DeepSeek-Coder markdown twin](/tools/deepseek-ai-deepseek-coder/alternatives.md), [awesome-gpt markdown twin](/tools/formulahendry-awesome-gpt/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/deepseek-ai-deepseek-coder-vs-formulahendry-awesome-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepSeek-Coder or awesome-gpt? DeepSeek-Coder: Slowing. awesome-gpt: 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 DeepSeek-Coder and awesome-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-Coder trust report](/tools/deepseek-ai-deepseek-coder/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-coder) - 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/_