--- title: "starcoder2 vs Awesome-Code-LLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-starcoder2-vs-huybery-awesome-code-llm" tools: ["bigcode-project-starcoder2", "huybery-awesome-code-llm"] --- # starcoder2 vs Awesome-Code-LLM *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-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. [starcoder2](https://github.com/bigcode-project/starcoder2) reports 2.1k GitHub stars, 199 forks, and 20 open issues, last pushed Mar 21, 2024. [Awesome-Code-LLM](https://github.com/huybery/Awesome-Code-LLM) has 1.3k stars, 74 forks, and 4 open issues, last pushed Dec 10, 2024. Figures are from public GitHub metadata via [starcoder2's repository](https://github.com/bigcode-project/starcoder2) and [Awesome-Code-LLM's repository](https://github.com/huybery/Awesome-Code-LLM). | | [starcoder2](/tools/bigcode-project-starcoder2.md) | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | | --- | --- | --- | | Tagline | Home of StarCoder2! | 👨💻 An awesome and curated list of best code-LLM for research. | | Stars | 2,081 | 1,291 | | Forks | 199 | 74 | | Open issues | 20 | 4 | | Language | Python | - | | Adopt for | Starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency. | Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions. | | Categories | LLM Frameworks, Model Training | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [starcoder2](/tools/bigcode-project-starcoder2.md) | [Awesome-Code-LLM](/tools/huybery-awesome-code-llm.md) | | --- | --- | --- | | Days since push | 867d | 604d | | Open issues (now) | 20 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/bigcode-project-starcoder2/trust.md) | [trust report](/tools/huybery-awesome-code-llm/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-Code-LLM - **Requirements:** No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs. - **Adopt for:** Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers. - **License detail:** MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions. ## Choose when ### Choose starcoder2 if… - License: starcoder2 is Apache-2.0, Awesome-Code-LLM is MIT. - 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-Code-LLM if… - License: Awesome-Code-LLM is MIT, starcoder2 is Apache-2.0. - Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.. - Tags unique to Awesome-Code-LLM: awesome, code generation, large language models. - Also covers Evaluation & Observability. - When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval. ## 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-Code-LLM - When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. - If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. - In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering ## Common questions ### What is the difference between starcoder2 and Awesome-Code-LLM? starcoder2: Home of StarCoder2!. Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. See the comparison table for live GitHub stats and shared categories. ### When should I choose starcoder2 over Awesome-Code-LLM? Choose starcoder2 over Awesome-Code-LLM when License: starcoder2 is Apache-2.0, Awesome-Code-LLM is MIT; 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-Code-LLM over starcoder2? Choose Awesome-Code-LLM over starcoder2 when License: Awesome-Code-LLM is MIT, starcoder2 is Apache-2.0; Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome, code generation, large language models; Also covers Evaluation & Observability; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval. ### 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-Code-LLM? When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering ### Is starcoder2 or Awesome-Code-LLM more popular on GitHub? starcoder2 has more GitHub stars (2,081 vs 1,291). Stars measure visibility, not whether either tool fits your constraints. ### Are starcoder2 and Awesome-Code-LLM open source? Yes - both are open-source projects on GitHub (starcoder2: Apache-2.0, Awesome-Code-LLM: MIT). ### Where can I find alternatives to starcoder2 or Awesome-Code-LLM? GraphCanon lists graph-backed alternatives at [starcoder2 alternatives](/tools/bigcode-project-starcoder2/alternatives) and [Awesome-Code-LLM alternatives](/tools/huybery-awesome-code-llm/alternatives) ([starcoder2 markdown twin](/tools/bigcode-project-starcoder2/alternatives.md), [Awesome-Code-LLM markdown twin](/tools/huybery-awesome-code-llm/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-huybery-awesome-code-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, starcoder2 or Awesome-Code-LLM? starcoder2: Dormant. Awesome-Code-LLM: 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-Code-LLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [starcoder2 trust report](/tools/bigcode-project-starcoder2/trust); [Awesome-Code-LLM trust report](/tools/huybery-awesome-code-llm/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/_