--- title: "starcoder2 vs awesome-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-starcoder2-vs-formulahendry-awesome-gpt" tools: ["bigcode-project-starcoder2", "formulahendry-awesome-gpt"] --- # starcoder2 vs awesome-gpt *GraphCanon updated Aug 6, 2026* ## Verdict Pick starcoder2 if starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency; 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. [starcoder2](https://github.com/bigcode-project/starcoder2) reports 2.1k GitHub stars, 199 forks, and 20 open issues, last pushed Mar 21, 2024. [awesome-gpt](https://github.com/formulahendry/awesome-gpt) has 1.0k stars, 75 forks, and 27 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [starcoder2's repository](https://github.com/bigcode-project/starcoder2) and [awesome-gpt's repository](https://github.com/formulahendry/awesome-gpt). | | [starcoder2](/tools/bigcode-project-starcoder2.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Tagline | Home of StarCoder2! | Curated list of GPT and related resources | | Stars | 2,081 | 1,043 | | Forks | 199 | 75 | | Open issues | 20 | 27 | | Language | Python | - | | Adopt for | Starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency. | 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 | Apache-2.0 | - | | Categories | LLM Frameworks, Model Training | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [starcoder2](/tools/bigcode-project-starcoder2.md) | [awesome-gpt](/tools/formulahendry-awesome-gpt.md) | | --- | --- | --- | | Days since push | 867d | 799d | | Open issues (now) | 20 | 27 | | Owner type | Organization | User | | Full report | [trust report](/tools/bigcode-project-starcoder2/trust.md) | [trust report](/tools/formulahendry-awesome-gpt/trust.md) | ## Decision facts: starcoder2 - **Pricing:** freemium - The library and model can be used freely under Apache-2.0 licensing terms. - **Adopt for:** Starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency. ## 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 starcoder2 if… - Pricing: The library and model can be used freely under Apache-2.0 licensing terms.. - Tags unique to starcoder2: python. - Also covers Model Training. - Use Starcoder2 when you require a model that leverages the bitsandbytes library, which can enhance memory usage during both training and inference processes. ### 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. - Also covers Developer Tools. - 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 starcoder2 - Avoid Starcoder2 if you need to work with non-Python environments or frameworks, as its implementation is Python-specific and may not be easily transferable. - If your project strictly avoids external dependencies that are not part of the transformers core package, Starcoder2 might not be suitable due to its additional reliance on bitsandbytes. ## 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 starcoder2 and awesome-gpt? starcoder2: Home of StarCoder2!. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose starcoder2 over awesome-gpt? Choose starcoder2 over awesome-gpt when Pricing: The library and model can be used freely under Apache-2.0 licensing terms.; Tags unique to starcoder2: python; Also covers Model Training; Use Starcoder2 when you require a model that leverages the bitsandbytes library, which can enhance memory usage during both training and inference processes. ### When should I choose awesome-gpt over starcoder2? Choose awesome-gpt over starcoder2 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; Also covers Developer Tools; 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 starcoder2? Avoid Starcoder2 if you need to work with non-Python environments or frameworks, as its implementation is Python-specific and may not be easily transferable. If your project strictly avoids external dependencies that are not part of the transformers core package, Starcoder2 might not be suitable due to its additional reliance on bitsandbytes. ### 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 starcoder2 or awesome-gpt more popular on GitHub? starcoder2 has more GitHub stars (2,081 vs 1,043). Stars measure visibility, not whether either tool fits your constraints. ### Are starcoder2 and awesome-gpt open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to starcoder2 or awesome-gpt? GraphCanon lists graph-backed alternatives at [starcoder2 alternatives](/tools/bigcode-project-starcoder2/alternatives) and [awesome-gpt alternatives](/tools/formulahendry-awesome-gpt/alternatives) ([starcoder2 markdown twin](/tools/bigcode-project-starcoder2/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/bigcode-project-starcoder2-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, starcoder2 or awesome-gpt? starcoder2: Dormant. 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 starcoder2 and awesome-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [starcoder2 trust report](/tools/bigcode-project-starcoder2/trust); [awesome-gpt trust report](/tools/formulahendry-awesome-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-starcoder2`](/api/graphcanon/graph?tool=bigcode-project-starcoder2) - 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/_