--- title: "oumi vs anubis-oss" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/oumi-ai-oumi-vs-uncsoft-anubis-oss" tools: ["oumi-ai-oumi", "uncsoft-anubis-oss"] --- # oumi vs anubis-oss *GraphCanon updated Sep 20, 2026* ## Verdict Pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. [oumi](https://oumi.ai) reports 9.4k GitHub stars, 790 forks, and 34 open issues, last pushed Sep 20, 2026. [anubis-oss](https://devpadapp.com/leaderboard.html) has 207 stars, 15 forks, and 1 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [oumi's repository](https://github.com/oumi-ai/oumi) and [anubis-oss's repository](https://github.com/uncSoft/anubis-oss). | | [oumi](/tools/oumi-ai-oumi.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Tagline | Easily fine-tune, evaluate and deploy open source LLMs/VLMs | Local LLM Testing & Benchmarking for Apple Silicon | | Stars | 9,387 | 207 | | Forks | 790 | 15 | | Open issues | 34 | 1 | | Language | Python | Swift | | Adopt for | Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others. | Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. | | Persona | - | - | | Runtime | - | - | | License | Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues. | GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. | | Categories | Evaluation & Observability, Inference & Serving, Model Training | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oumi](/tools/oumi-ai-oumi.md) | [anubis-oss](/tools/uncsoft-anubis-oss.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 34 | 1 | | Stars delta | +28 (30d) | +9 (30d) | | Open issues delta | +3 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/oumi-ai-oumi/trust.md) | [trust report](/tools/uncsoft-anubis-oss/trust.md) | ## Decision facts: oumi - **Requirements:** Requires Docker; Docker is used for standardized and portable environment deployments. - **Adopt for:** Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others. - **License detail:** Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues. ## Decision facts: anubis-oss - **Pricing:** freemium - The tool is free and open-source with no monetary costs for usage or distribution. - **Requirements:** Min 8 GB RAM - **Adopt for:** Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment. - **License detail:** GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms. ## Choose when ### Choose oumi if… - oumi is primarily Python; anubis-oss is Swift. - License: oumi is Apache-2.0, anubis-oss is GPL-3.0. - Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.. - Tags unique to oumi: dpo, evaluation, fine-tuning, llms. - Also covers Model Training. - - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants. ### Choose anubis-oss if… - anubis-oss is primarily Swift; oumi is Python. - License: anubis-oss is GPL-3.0, oumi is Apache-2.0. - Pricing: The tool is free and open-source with no monetary costs for usage or distribution.. - Requirements: Min 8 GB RAM. - Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference. - When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ## When NOT to use oumi - - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series). ## When NOT to use anubis-oss - If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. - When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ## Common questions ### What is the difference between oumi and anubis-oss? oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories. ### When should I choose oumi over anubis-oss? Choose oumi over anubis-oss when oumi is primarily Python; anubis-oss is Swift; License: oumi is Apache-2.0, anubis-oss is GPL-3.0; Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; Also covers Model Training; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants. ### When should I choose anubis-oss over oumi? Choose anubis-oss over oumi when anubis-oss is primarily Swift; oumi is Python; License: anubis-oss is GPL-3.0, oumi is Apache-2.0; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; When developing and evaluating large language models intended to run natively on Apple Silicon hardware. ### When should I avoid oumi? - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series). ### When should I avoid anubis-oss? If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations. ### Is oumi or anubis-oss more popular on GitHub? oumi has more GitHub stars (9,387 vs 207). Stars measure visibility, not whether either tool fits your constraints. ### Are oumi and anubis-oss open source? Yes - both are open-source projects on GitHub (oumi: Apache-2.0, anubis-oss: GPL-3.0). ### Where can I find alternatives to oumi or anubis-oss? GraphCanon lists graph-backed alternatives at [oumi alternatives](/tools/oumi-ai-oumi/alternatives) and [anubis-oss alternatives](/tools/uncsoft-anubis-oss/alternatives) ([oumi markdown twin](/tools/oumi-ai-oumi/alternatives.md), [anubis-oss markdown twin](/tools/uncsoft-anubis-oss/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/oumi-ai-oumi-vs-uncsoft-anubis-oss.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oumi or anubis-oss? oumi: Very active. anubis-oss: 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 oumi and anubis-oss? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oumi trust report](/tools/oumi-ai-oumi/trust); [anubis-oss trust report](/tools/uncsoft-anubis-oss/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=oumi-ai-oumi`](/api/graphcanon/graph?tool=oumi-ai-oumi) - 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/_