--- title: "dart-math vs oumi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkust-nlp-dart-math-vs-oumi-ai-oumi" tools: ["hkust-nlp-dart-math", "oumi-ai-oumi"] --- # dart-math vs oumi *GraphCanon updated Aug 23, 2026* ## Verdict Pick dart-math if dART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models; 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. [dart-math](https://hkust-nlp.github.io/dart-math/) reports 120 GitHub stars, 8 forks, and 5 open issues, last pushed Dec 10, 2024. [oumi](https://oumi.ai) has 9.4k stars, 784 forks, and 34 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [dart-math's repository](https://github.com/hkust-nlp/dart-math) and [oumi's repository](https://github.com/oumi-ai/oumi). | | [dart-math](/tools/hkust-nlp-dart-math.md) | [oumi](/tools/oumi-ai-oumi.md) | | --- | --- | --- | | Tagline | Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving | Easily fine-tune, evaluate and deploy open source LLMs/VLMs | | Stars | 120 | 9,376 | | Forks | 8 | 784 | | Open issues | 5 | 34 | | Language | Jupyter Notebook | Python | | Adopt for | DART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | 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. | | Categories | Evaluation & Observability, Inference & Serving, Model Training | Evaluation & Observability, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dart-math](/tools/hkust-nlp-dart-math.md) | [oumi](/tools/oumi-ai-oumi.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 595d | 1d | | Open issues (now) | 5 | 34 | | Stars delta | Unknown | +17 (30d) | | Open issues delta | Unknown | +3 (30d) | | Full report | [trust report](/tools/hkust-nlp-dart-math/trust.md) | [trust report](/tools/oumi-ai-oumi/trust.md) | ## Decision facts: dart-math - **Requirements:** Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook - **Adopt for:** DART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models. ## 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. ## Choose when ### Choose dart-math if… - dart-math is primarily Jupyter Notebook; oumi is Python. - License: dart-math is MIT, oumi is Apache-2.0. - Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook. - Tags unique to dart-math: deep-learning, llm, llm-evaluation, llm-inference. - Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor. ### Choose oumi if… - oumi is primarily Python; dart-math is Jupyter Notebook. - License: oumi is Apache-2.0, dart-math is MIT. - Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.. - Tags unique to oumi: dpo, evaluation, fine-tuning, llms. - oumi ships Docker support for self-hosted deployment. - - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants. ## When NOT to use dart-math - Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems. - Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice. ## 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). ## Common questions ### What is the difference between dart-math and oumi? dart-math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving. oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose dart-math over oumi? Choose dart-math over oumi when dart-math is primarily Jupyter Notebook; oumi is Python; License: dart-math is MIT, oumi is Apache-2.0; Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook; Tags unique to dart-math: deep-learning, llm, llm-evaluation, llm-inference; Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor. ### When should I choose oumi over dart-math? Choose oumi over dart-math when oumi is primarily Python; dart-math is Jupyter Notebook; License: oumi is Apache-2.0, dart-math is MIT; Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; oumi ships Docker support for self-hosted deployment; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants. ### When should I avoid dart-math? Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems. Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice. ### 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). ### Is dart-math or oumi more popular on GitHub? oumi has more GitHub stars (9,376 vs 120). Stars measure visibility, not whether either tool fits your constraints. ### Are dart-math and oumi open source? Yes - both are open-source projects on GitHub (dart-math: MIT, oumi: Apache-2.0). ### Where can I find alternatives to dart-math or oumi? GraphCanon lists graph-backed alternatives at [dart-math alternatives](/tools/hkust-nlp-dart-math/alternatives) and [oumi alternatives](/tools/oumi-ai-oumi/alternatives) ([dart-math markdown twin](/tools/hkust-nlp-dart-math/alternatives.md), [oumi markdown twin](/tools/oumi-ai-oumi/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/hkust-nlp-dart-math-vs-oumi-ai-oumi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dart-math or oumi? dart-math: Dormant. oumi: 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 dart-math and oumi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dart-math trust report](/tools/hkust-nlp-dart-math/trust); [oumi trust report](/tools/oumi-ai-oumi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkust-nlp-dart-math`](/api/graphcanon/graph?tool=hkust-nlp-dart-math) - 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/_