--- title: "Aquila2 vs aikit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flagai-open-aquila2-vs-kaito-project-aikit" tools: ["flagai-open-aquila2", "kaito-project-aikit"] --- # Aquila2 vs aikit *GraphCanon updated Aug 25, 2026* ## Verdict Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; 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. [Aquila2](https://github.com/FlagAI-Open/Aquila2) reports 447 GitHub stars, 32 forks, and 2 open issues, last pushed Oct 11, 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 [Aquila2's repository](https://github.com/FlagAI-Open/Aquila2) and [aikit's repository](https://github.com/kaito-project/aikit). | | [Aquila2](/tools/flagai-open-aquila2.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Tagline | Official repository for Aquila2 series large language models by BAAI | Fine-tune, build, and deploy open-source LLMs easily! | | Stars | 447 | 537 | | Forks | 32 | 57 | | Open issues | 2 | 40 | | Language | Python | Go | | Adopt for | Official suite for Aquila2 series LLM by BAAI | 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 | (unknown) | MIT | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aquila2](/tools/flagai-open-aquila2.md) | [aikit](/tools/kaito-project-aikit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 683d | 0d | | Open issues (now) | 2 | 40 | | Stars delta | +1 (30d) | +3 (30d) | | Open issues delta | 0 (30d) | -3 (30d) | | Full report | [trust report](/tools/flagai-open-aquila2/trust.md) | [trust report](/tools/kaito-project-aikit/trust.md) | ## Decision facts: Aquila2 - **Adopt for:** Official suite for Aquila2 series LLM by BAAI - **License detail:** (unknown) ## 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 Aquila2 if… - Aquila2 is primarily Python; aikit is Go. - Tags unique to Aquila2: llm, llm-inference, llm-training. - Need specialized support from Beijing Academy of Artificial Intelligence ### Choose aikit if… - aikit is primarily Go; Aquila2 is Python. - Tags unique to aikit: ai, buildkit, chatgpt, docker. - 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 Aquila2 - Require comprehensive API and documentation clarity - Preferring open source licensing details ## 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 Aquila2 and aikit? Aquila2: Official repository for Aquila2 series large language models by BAAI. 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 Aquila2 over aikit? Choose Aquila2 over aikit when Aquila2 is primarily Python; aikit is Go; Tags unique to Aquila2: llm, llm-inference, llm-training; Need specialized support from Beijing Academy of Artificial Intelligence. ### When should I choose aikit over Aquila2? Choose aikit over Aquila2 when aikit is primarily Go; Aquila2 is Python; Tags unique to aikit: ai, buildkit, chatgpt, docker; 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 Aquila2? Require comprehensive API and documentation clarity Preferring open source licensing details ### 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 Aquila2 or aikit more popular on GitHub? aikit has more GitHub stars (537 vs 447). Stars measure visibility, not whether either tool fits your constraints. ### Are Aquila2 and aikit open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Aquila2 or aikit? GraphCanon lists graph-backed alternatives at [Aquila2 alternatives](/tools/flagai-open-aquila2/alternatives) and [aikit alternatives](/tools/kaito-project-aikit/alternatives) ([Aquila2 markdown twin](/tools/flagai-open-aquila2/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/flagai-open-aquila2-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, Aquila2 or aikit? Aquila2: 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 Aquila2 and aikit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aquila2 trust report](/tools/flagai-open-aquila2/trust); [aikit trust report](/tools/kaito-project-aikit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flagai-open-aquila2`](/api/graphcanon/graph?tool=flagai-open-aquila2) - 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/_