--- title: "starcoder vs oumi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-starcoder-vs-oumi-ai-oumi" tools: ["bigcode-project-starcoder", "oumi-ai-oumi"] --- # starcoder vs oumi *GraphCanon updated Aug 23, 2026* ## Verdict Pick starcoder if starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes; 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. [starcoder](https://github.com/bigcode-project/starcoder) reports 7.5k GitHub stars, 525 forks, and 103 open issues, last pushed Feb 27, 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 [starcoder's repository](https://github.com/bigcode-project/starcoder) and [oumi's repository](https://github.com/oumi-ai/oumi). | | [starcoder](/tools/bigcode-project-starcoder.md) | [oumi](/tools/oumi-ai-oumi.md) | | --- | --- | --- | | Tagline | Home of StarCoder: fine-tuning & inference! | Easily fine-tune, evaluate and deploy open source LLMs/VLMs | | Stars | 7,503 | 9,376 | | Forks | 525 | 784 | | Open issues | 103 | 34 | | Language | Python | Python | | Adopt for | Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. | 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 | Apache-2.0 | 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 | Inference & Serving, Model Training | Evaluation & Observability, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [starcoder](/tools/bigcode-project-starcoder.md) | [oumi](/tools/oumi-ai-oumi.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 890d | 1d | | Open issues (now) | 103 | 34 | | Stars delta | Unknown | +17 (30d) | | Open issues delta | Unknown | +3 (30d) | | Full report | [trust report](/tools/bigcode-project-starcoder/trust.md) | [trust report](/tools/oumi-ai-oumi/trust.md) | ## Decision facts: starcoder - **Adopt for:** Starcoder, under Apache-2.0 license, provides tools for installation and usage of StarCoder, supporting both fine-tuning and inference processes. ## 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 starcoder if… - Tags unique to starcoder: conda, inference, pip, starcoder. - When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM ### Choose oumi if… - Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.. - Tags unique to oumi: dpo, evaluation, llms, sft. - Also covers Evaluation & Observability. - 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 starcoder - Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM - If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ## 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 starcoder and oumi? starcoder: Home of StarCoder: fine-tuning & inference!. 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 starcoder over oumi? Choose starcoder over oumi when Tags unique to starcoder: conda, inference, pip, starcoder; When you need to perform inference tasks on a model that can be managed within hardware constraints such as FP16 or BF16 formats in about 30GB of RAM. ### When should I choose oumi over starcoder? Choose oumi over starcoder when Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, llms, sft; Also covers Evaluation & Observability; 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 starcoder? Avoid if your environment lacks resources and you cannot meet the minimum memory requirement even in an 8-bit precision mode which needs under 20GB RAM If you seek a tool that does not rely heavily on setup instructions guided by specific frameworks such as Hugging Face Transformers or PyTorch ### 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 starcoder or oumi more popular on GitHub? oumi has more GitHub stars (9,376 vs 7,503). Stars measure visibility, not whether either tool fits your constraints. ### Are starcoder and oumi open source? Yes - both are open-source projects on GitHub (starcoder: Apache-2.0, oumi: Apache-2.0). ### Where can I find alternatives to starcoder or oumi? GraphCanon lists graph-backed alternatives at [starcoder alternatives](/tools/bigcode-project-starcoder/alternatives) and [oumi alternatives](/tools/oumi-ai-oumi/alternatives) ([starcoder markdown twin](/tools/bigcode-project-starcoder/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/bigcode-project-starcoder-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, starcoder or oumi? starcoder: 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 starcoder and oumi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [starcoder trust report](/tools/bigcode-project-starcoder/trust); [oumi trust report](/tools/oumi-ai-oumi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-starcoder`](/api/graphcanon/graph?tool=bigcode-project-starcoder) - 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/_