--- title: "ai-getting-started vs starcoder2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-bigcode-project-starcoder2" tools: ["a16z-infra-ai-getting-started", "bigcode-project-starcoder2"] --- # ai-getting-started vs starcoder2 *GraphCanon updated Aug 15, 2026* ## Verdict Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick starcoder2 if starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [starcoder2](https://github.com/bigcode-project/starcoder2) has 2.1k stars, 199 forks, and 20 open issues, last pushed Mar 21, 2024. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [starcoder2's repository](https://github.com/bigcode-project/starcoder2). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [starcoder2](/tools/bigcode-project-starcoder2.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | Home of StarCoder2! | | Stars | 4,141 | 2,081 | | Forks | 660 | 199 | | Open issues | 16 | 20 | | Language | TypeScript | Python | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | Starcoder2 is a code generation model using transformers and bitsandbytes for improved training efficiency. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Model Training, Vector Databases | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [starcoder2](/tools/bigcode-project-starcoder2.md) | | --- | --- | --- | | Days since push | 723d | 867d | | Open issues (now) | 16 | 20 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/bigcode-project-starcoder2/trust.md) | ## Decision facts: ai-getting-started - **Adopt for:** ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. ## 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. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; starcoder2 is Python. - License: ai-getting-started is MIT, starcoder2 is Apache-2.0. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Developer Tools, Vector Databases. - ai-getting-started ships Docker support for self-hosted deployment. - * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### Choose starcoder2 if… - starcoder2 is primarily Python; ai-getting-started is TypeScript. - License: starcoder2 is Apache-2.0, ai-getting-started is MIT. - Pricing: The library and model can be used freely under Apache-2.0 licensing terms.. - Tags unique to starcoder2: python. - Also covers LLM Frameworks. - Use Starcoder2 when you require a model that leverages the bitsandbytes library, which can enhance memory usage during both training and inference processes. ## When NOT to use ai-getting-started - * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. - * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ## 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. ## Common questions ### What is the difference between ai-getting-started and starcoder2? ai-getting-started: A Javascript AI getting started stack for weekend projects. starcoder2: Home of StarCoder2!. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over starcoder2? Choose ai-getting-started over starcoder2 when ai-getting-started is primarily TypeScript; starcoder2 is Python; License: ai-getting-started is MIT, starcoder2 is Apache-2.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Developer Tools, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### When should I choose starcoder2 over ai-getting-started? Choose starcoder2 over ai-getting-started when starcoder2 is primarily Python; ai-getting-started is TypeScript; License: starcoder2 is Apache-2.0, ai-getting-started is MIT; Pricing: The library and model can be used freely under Apache-2.0 licensing terms.; Tags unique to starcoder2: python; Also covers LLM Frameworks; 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 avoid ai-getting-started? * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ### 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. ### Is ai-getting-started or starcoder2 more popular on GitHub? ai-getting-started has more GitHub stars (4,141 vs 2,081). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and starcoder2 open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, starcoder2: Apache-2.0). ### Where can I find alternatives to ai-getting-started or starcoder2? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [starcoder2 alternatives](/tools/bigcode-project-starcoder2/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [starcoder2 markdown twin](/tools/bigcode-project-starcoder2/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/a16z-infra-ai-getting-started-vs-bigcode-project-starcoder2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-getting-started or starcoder2? ai-getting-started: Dormant. starcoder2: 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 ai-getting-started and starcoder2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [starcoder2 trust report](/tools/bigcode-project-starcoder2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_