--- title: "DeepSeek-V3 vs evalplus" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-v3-vs-evalplus-evalplus" tools: ["deepseek-ai-deepseek-v3", "evalplus-evalplus"] --- # DeepSeek-V3 vs evalplus *GraphCanon updated Jul 12, 2026* ## Verdict Pick DeepSeek-V3 when license: DeepSeek-V3 is MIT, evalplus is Apache-2.0; pick evalplus when license: evalplus is Apache-2.0, DeepSeek-V3 is MIT. [DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) reports 104k GitHub stars, 17k forks, and 248 open issues, last pushed Aug 28, 2025. [evalplus](https://evalplus.github.io) has 1.8k stars, 202 forks, and 66 open issues, last pushed Oct 2, 2025. Figures are from public GitHub metadata via [DeepSeek-V3's repository](https://github.com/deepseek-ai/DeepSeek-V3) and [evalplus's repository](https://github.com/evalplus/evalplus). | | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) | [evalplus](/tools/evalplus-evalplus.md) | | --- | --- | --- | | Tagline | Repository lacking description with unspecified content related to AI development. | Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024 | | Stars | 103,904 | 1,774 | | Forks | 16,730 | 202 | | Open issues | 248 | 66 | | Language | Python | Python | | Adopt for | DeepSeek-V3 is a Python-based AI development tool, with documentation focused solely on licensing terms for both its codebase and models. It's unclear from the available information what specific features or capabilities | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) | [evalplus](/tools/evalplus-evalplus.md) | | --- | --- | --- | | Days since push | 318d | 282d | | Open issues (now) | 248 | 66 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/deepseek-ai-deepseek-v3/trust.md) | [trust report](/tools/evalplus-evalplus/trust.md) | ## Decision facts: DeepSeek-V3 - **Adopt for:** DeepSeek-V3 is a Python-based AI development tool, with documentation focused solely on licensing terms for both its codebase and models. It's unclear from the available information what specific features or capabilities ## Choose when ### Choose DeepSeek-V3 if… - License: DeepSeek-V3 is MIT, evalplus is Apache-2.0. - Tags unique to DeepSeek-V3: commercial use, mit license. - - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided. ### Choose evalplus if… - License: evalplus is Apache-2.0, DeepSeek-V3 is MIT. - Tags unique to evalplus: benchmark, chatgpt, efficiency, gpt-4. - Also covers LLM Frameworks. - evalplus ships Docker support for self-hosted deployment. ## When NOT to use DeepSeek-V3 - - If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content. - - When you require open-source model details or functionalities other than those related solely to licensing terms. ## When NOT to use evalplus - Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on evalplus. - 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. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between DeepSeek-V3 and evalplus? DeepSeek-V3: Repository lacking description with unspecified content related to AI development.. evalplus: Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepSeek-V3 over evalplus? Choose DeepSeek-V3 over evalplus when License: DeepSeek-V3 is MIT, evalplus is Apache-2.0; Tags unique to DeepSeek-V3: commercial use, mit license; - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided. ### When should I choose evalplus over DeepSeek-V3? Choose evalplus over DeepSeek-V3 when License: evalplus is Apache-2.0, DeepSeek-V3 is MIT; Tags unique to evalplus: benchmark, chatgpt, efficiency, gpt-4; Also covers LLM Frameworks; evalplus ships Docker support for self-hosted deployment. ### When should I avoid DeepSeek-V3? - If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content. - When you require open-source model details or functionalities other than those related solely to licensing terms. ### When should I avoid evalplus? Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on evalplus. 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is DeepSeek-V3 or evalplus more popular on GitHub? DeepSeek-V3 has more GitHub stars (103,904 vs 1,774). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepSeek-V3 and evalplus open source? Yes - both are open-source projects on GitHub (DeepSeek-V3: MIT, evalplus: Apache-2.0). ### Where can I find alternatives to DeepSeek-V3 or evalplus? GraphCanon lists graph-backed alternatives at [DeepSeek-V3 alternatives](/tools/deepseek-ai-deepseek-v3/alternatives) and [evalplus alternatives](/tools/evalplus-evalplus/alternatives) ([DeepSeek-V3 markdown twin](/tools/deepseek-ai-deepseek-v3/alternatives.md), [evalplus markdown twin](/tools/evalplus-evalplus/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/deepseek-ai-deepseek-v3-vs-evalplus-evalplus.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepSeek-V3 or evalplus? DeepSeek-V3: Slowing. evalplus: Slowing. 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 DeepSeek-V3 and evalplus? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-V3 trust report](/tools/deepseek-ai-deepseek-v3/trust); [evalplus trust report](/tools/evalplus-evalplus/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-v3`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-v3) - 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/_