--- title: "aikit vs ell" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaito-project-aikit-vs-madcowd-ell" tools: ["kaito-project-aikit", "madcowd-ell"] --- # aikit vs ell *GraphCanon updated Aug 24, 2026* ## Verdict 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; pick ell if ell is a Python-based language model development library and prompt engineering tool. [aikit](https://kaito-project.github.io/aikit/) reports 537 GitHub stars, 57 forks, and 40 open issues, last pushed Aug 24, 2026. [ell](http://docs.ell.so/) has 5.9k stars, 343 forks, and 186 open issues, last pushed Jun 5, 2025. Figures are from public GitHub metadata via [aikit's repository](https://github.com/kaito-project/aikit) and [ell's repository](https://github.com/MadcowD/ell). | | [aikit](/tools/kaito-project-aikit.md) | [ell](/tools/madcowd-ell.md) | | --- | --- | --- | | Tagline | Fine-tune, build, and deploy open-source LLMs easily! | A language model programming library | | Stars | 537 | 5,869 | | Forks | 57 | 343 | | Open issues | 40 | 186 | | Language | Go | Python | | Adopt for | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | ell is a Python-based language model development library and prompt engineering tool. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT - Permissive free software license | | Categories | Inference & Serving, LLM Frameworks, Model Training | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aikit](/tools/kaito-project-aikit.md) | [ell](/tools/madcowd-ell.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 417d | | Open issues (now) | 40 | 186 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | -3 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/kaito-project-aikit/trust.md) | [trust report](/tools/madcowd-ell/trust.md) | ## 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. ## Decision facts: ell - **Pricing:** freemium - Free to use under MIT License, with no premium plans mentioned. - **Adopt for:** ell is a Python-based language model development library and prompt engineering tool. - **License detail:** MIT - Permissive free software license ## Choose when ### Choose aikit if… - aikit is primarily Go; ell is Python. - Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning. - Also covers Inference & Serving, Model Training. - aikit ships Docker support for self-hosted deployment. - - You need a flexible solution specifically built using Go and prefer its concurrency model. ### Choose ell if… - ell is primarily Python; aikit is Go. - Pricing: Free to use under MIT License, with no premium plans mentioned.. - Tags unique to ell: prompt-engineering. - When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application. ## 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. ## When NOT to use ell - If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice. ## Common questions ### What is the difference between aikit and ell? aikit: Fine-tune, build, and deploy open-source LLMs easily!. ell: A language model programming library. See the comparison table for live GitHub stats and shared categories. ### When should I choose aikit over ell? Choose aikit over ell when aikit is primarily Go; ell is Python; Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning; Also covers Inference & Serving, Model Training; 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 choose ell over aikit? Choose ell over aikit when ell is primarily Python; aikit is Go; Pricing: Free to use under MIT License, with no premium plans mentioned.; Tags unique to ell: prompt-engineering; When you require a dedicated Python framework for developing custom language models and fine-tuning them with specific prompts for your application. ### 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. ### When should I avoid ell? If you prefer JavaScript or other languages over Python, consider alternative frameworks that support the language of your choice. ### Is aikit or ell more popular on GitHub? ell has more GitHub stars (5,869 vs 537). Stars measure visibility, not whether either tool fits your constraints. ### Are aikit and ell open source? Yes - both are open-source projects on GitHub (aikit: MIT, ell: MIT). ### Where can I find alternatives to aikit or ell? GraphCanon lists graph-backed alternatives at [aikit alternatives](/tools/kaito-project-aikit/alternatives) and [ell alternatives](/tools/madcowd-ell/alternatives) ([aikit markdown twin](/tools/kaito-project-aikit/alternatives.md), [ell markdown twin](/tools/madcowd-ell/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/kaito-project-aikit-vs-madcowd-ell.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aikit or ell? aikit: Very active. ell: 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 aikit and ell? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aikit trust report](/tools/kaito-project-aikit/trust); [ell trust report](/tools/madcowd-ell/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaito-project-aikit`](/api/graphcanon/graph?tool=kaito-project-aikit) - 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/_