--- title: "amical vs unsloth" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amicalhq-amical-vs-unslothai-unsloth" tools: ["amicalhq-amical", "unslothai-unsloth"] --- # amical vs unsloth *GraphCanon updated Jul 12, 2026* ## Verdict Pick amical when amical is primarily TypeScript; unsloth is Python; pick unsloth when unsloth is primarily Python; amical is TypeScript. [amical](https://amical.ai) reports 1.4k GitHub stars, 128 forks, and 48 open issues, last pushed Jul 7, 2026. [unsloth](https://unsloth.ai/docs) has 68k stars, 6.1k forks, and 1.1k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [amical's repository](https://github.com/amicalhq/amical) and [unsloth's repository](https://github.com/unslothai/unsloth). | | [amical](/tools/amicalhq-amical.md) | [unsloth](/tools/unslothai-unsloth.md) | | --- | --- | --- | | Tagline | 🎙️ AI Dictation App - Open Source and Local-first ⚡ Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate. | A web UI for training and running open models locally. | | Stars | 1,406 | 68,030 | | Forks | 128 | 6,124 | | Open issues | 48 | 1,053 | | Language | TypeScript | Python | | Adopt for | - | Unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including Gemma, Qwen3.6, LLaMA, and | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, Speech & Audio | Developer Tools, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [amical](/tools/amicalhq-amical.md) | [unsloth](/tools/unslothai-unsloth.md) | | --- | --- | --- | | Days since push | 3d | 0d | | Open issues (now) | 48 | 1.1k | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/amicalhq-amical/trust.md) | [trust report](/tools/unslothai-unsloth/trust.md) | ## Decision facts: unsloth - **Requirements:** Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core. - **Adopt for:** Unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including Gemma, Qwen3.6, LLaMA, and ## Choose when ### Choose amical if… - amical is primarily TypeScript; unsloth is Python. - License: amical is MIT, unsloth is Apache-2.0. - Tags unique to amical: ai, ai-note-taking-app, asr, dictate. - Also covers Speech & Audio. ### Choose unsloth if… - unsloth is primarily Python; amical is TypeScript. - License: unsloth is Apache-2.0, amical is MIT. - Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core.. - Tags unique to unsloth: agent, deepseek, fine-tuning, gemma. - Also covers Model Training. - You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure. ## When NOT to use amical - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use unsloth - Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities. - Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources. - If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞 ## Common questions ### What is the difference between amical and unsloth? amical: 🎙️ AI Dictation App - Open Source and Local-first ⚡ Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate.. unsloth: A web UI for training and running open models locally.. See the comparison table for live GitHub stats and shared categories. ### When should I choose amical over unsloth? Choose amical over unsloth when amical is primarily TypeScript; unsloth is Python; License: amical is MIT, unsloth is Apache-2.0; Tags unique to amical: ai, ai-note-taking-app, asr, dictate; Also covers Speech & Audio. ### When should I choose unsloth over amical? Choose unsloth over amical when unsloth is primarily Python; amical is TypeScript; License: unsloth is Apache-2.0, amical is MIT; Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core.; Tags unique to unsloth: agent, deepseek, fine-tuning, gemma; Also covers Model Training; You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure. ### When should I avoid amical? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid unsloth? Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities. Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources. If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞 ### Is amical or unsloth more popular on GitHub? unsloth has more GitHub stars (68,030 vs 1,406). Stars measure visibility, not whether either tool fits your constraints. ### Are amical and unsloth open source? Yes - both are open-source projects on GitHub (amical: MIT, unsloth: Apache-2.0). ### Where can I find alternatives to amical or unsloth? GraphCanon lists graph-backed alternatives at [amical alternatives](/tools/amicalhq-amical/alternatives) and [unsloth alternatives](/tools/unslothai-unsloth/alternatives) ([amical markdown twin](/tools/amicalhq-amical/alternatives.md), [unsloth markdown twin](/tools/unslothai-unsloth/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/amicalhq-amical-vs-unslothai-unsloth.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, amical or unsloth? amical: Very active. unsloth: 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 amical and unsloth? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [amical trust report](/tools/amicalhq-amical/trust); [unsloth trust report](/tools/unslothai-unsloth/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amicalhq-amical`](/api/graphcanon/graph?tool=amicalhq-amical) - 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/_