--- title: "starcoder vs aikit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-starcoder-vs-kaito-project-aikit" tools: ["bigcode-project-starcoder", "kaito-project-aikit"] --- # starcoder vs aikit *GraphCanon updated Aug 24, 2026* ## Verdict Pick starcoder if starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes; pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. [starcoder](https://github.com/bigcode-project/starcoder) reports 7.5k GitHub stars, 525 forks, and 103 open issues, last pushed Feb 27, 2024. [aikit](https://kaito-project.github.io/aikit/) has 537 stars, 57 forks, and 40 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [starcoder's repository](https://github.com/bigcode-project/starcoder) and [aikit's repository](https://github.com/kaito-project/aikit). | | [starcoder](/tools/bigcode-project-starcoder.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Tagline | Home of StarCoder: fine-tuning & inference! | Fine-tune, build, and deploy open-source LLMs easily! | | Stars | 7,503 | 537 | | Forks | 525 | 57 | | Open issues | 103 | 40 | | Language | Python | Go | | Adopt for | Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [starcoder](/tools/bigcode-project-starcoder.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 890d | 0d | | Open issues (now) | 103 | 40 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | -3 (30d) | | Full report | [trust report](/tools/bigcode-project-starcoder/trust.md) | [trust report](/tools/kaito-project-aikit/trust.md) | ## Decision facts: starcoder - **Adopt for:** Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. ## Decision facts: aikit - **Adopt for:** Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. ## Choose when ### Choose starcoder if… - starcoder is primarily Python; aikit is Go. - License: starcoder is Apache-2.0, aikit is MIT. - Tags unique to starcoder: conda, inference, pip, starcoder. - When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM ### Choose aikit if… - aikit is primarily Go; starcoder is Python. - License: aikit is MIT, starcoder is Apache-2.0. - Tags unique to aikit: ai, buildkit, chatgpt, docker. - Also covers LLM Frameworks. - aikit ships Docker support for self-hosted deployment. - - You need a flexible solution specifically built using Go and prefer its concurrency model. ## When NOT to use starcoder - Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM - If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ## When NOT to use aikit - - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ## Common questions ### What is the difference between starcoder and aikit? starcoder: Home of StarCoder: fine-tuning & inference!. aikit: Fine-tune, build, and deploy open-source LLMs easily!. See the comparison table for live GitHub stats and shared categories. ### When should I choose starcoder over aikit? Choose starcoder over aikit when starcoder is primarily Python; aikit is Go; License: starcoder is Apache-2.0, aikit is MIT; Tags unique to starcoder: conda, inference, pip, starcoder; When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM. ### When should I choose aikit over starcoder? Choose aikit over starcoder when aikit is primarily Go; starcoder is Python; License: aikit is MIT, starcoder is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers LLM Frameworks; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model. ### When should I avoid starcoder? Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ### When should I avoid aikit? - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ### Is starcoder or aikit more popular on GitHub? starcoder has more GitHub stars (7,503 vs 537). Stars measure visibility, not whether either tool fits your constraints. ### Are starcoder and aikit open source? Yes - both are open-source projects on GitHub (starcoder: Apache-2.0, aikit: MIT). ### Where can I find alternatives to starcoder or aikit? GraphCanon lists graph-backed alternatives at [starcoder alternatives](/tools/bigcode-project-starcoder/alternatives) and [aikit alternatives](/tools/kaito-project-aikit/alternatives) ([starcoder markdown twin](/tools/bigcode-project-starcoder/alternatives.md), [aikit markdown twin](/tools/kaito-project-aikit/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-starcoder-vs-kaito-project-aikit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, starcoder or aikit? starcoder: Dormant. aikit: Very active. 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 starcoder and aikit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [starcoder trust report](/tools/bigcode-project-starcoder/trust); [aikit trust report](/tools/kaito-project-aikit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-starcoder`](/api/graphcanon/graph?tool=bigcode-project-starcoder) - 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/_