--- title: "bigcode-evaluation-harness vs LocalAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bigcode-project-bigcode-evaluation-harness-vs-mudler-localai" tools: ["bigcode-project-bigcode-evaluation-harness", "mudler-localai"] --- # bigcode-evaluation-harness vs LocalAI *GraphCanon updated Jul 11, 2026* ## Verdict Pick bigcode-evaluation-harness when bigcode-evaluation-harness is primarily Python; LocalAI is Go; pick LocalAI when localAI is primarily Go; bigcode-evaluation-harness is Python. [bigcode-evaluation-harness](https://github.com/bigcode-project/bigcode-evaluation-harness) reports 1.1k GitHub stars, 263 forks, and 97 open issues, last pushed Jul 22, 2025. [LocalAI](https://localai.io) has 47k stars, 4.2k forks, and 207 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [bigcode-evaluation-harness's repository](https://github.com/bigcode-project/bigcode-evaluation-harness) and [LocalAI's repository](https://github.com/mudler/LocalAI). | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Tagline | A framework for the evaluation of autoregressive code generation language models. | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | | Stars | 1,053 | 47,477 | | Forks | 263 | 4,221 | | Open issues | 97 | 207 | | Language | Python | Go | | Adopt for | - | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | LLM Frameworks, Computer Vision, Evaluation & Observability | LLM Frameworks, Computer Vision, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [bigcode-evaluation-harness](/tools/bigcode-project-bigcode-evaluation-harness.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 354d | 0d | | Open issues (now) | 97 | 207 | | Owner type | Organization | User | | Security scan | 46 low (46 low) | No MCP manifest | | Full report | [trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust.md) | [trust report](/tools/mudler-localai/trust.md) | ## Decision facts: LocalAI - **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute. - **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. ## Choose when ### Choose bigcode-evaluation-harness if… - bigcode-evaluation-harness is primarily Python; LocalAI is Go. - License: bigcode-evaluation-harness is Apache-2.0, LocalAI is MIT. - Tags unique to bigcode-evaluation-harness: python. - Also covers Evaluation & Observability. ### Choose LocalAI if… - LocalAI is primarily Go; bigcode-evaluation-harness is Python. - License: LocalAI is MIT, bigcode-evaluation-harness is Apache-2.0. - Pricing: As an open-source project under the MIT license, it is free to use and distribute.. - Tags unique to LocalAI: image-generation, audio-generation, distributed, libp2p. - Also covers Speech & Audio. - Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ## When NOT to use bigcode-evaluation-harness - Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use LocalAI - Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. - Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ## Common questions ### What is the difference between bigcode-evaluation-harness and LocalAI? bigcode-evaluation-harness: A framework for the evaluation of autoregressive code generation language models.. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories. ### When should I choose bigcode-evaluation-harness over LocalAI? Choose bigcode-evaluation-harness over LocalAI when bigcode-evaluation-harness is primarily Python; LocalAI is Go; License: bigcode-evaluation-harness is Apache-2.0, LocalAI is MIT; Tags unique to bigcode-evaluation-harness: python; Also covers Evaluation & Observability. ### When should I choose LocalAI over bigcode-evaluation-harness? Choose LocalAI over bigcode-evaluation-harness when LocalAI is primarily Go; bigcode-evaluation-harness is Python; License: LocalAI is MIT, bigcode-evaluation-harness is Apache-2.0; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Tags unique to LocalAI: image-generation, audio-generation, distributed, libp2p; Also covers Speech & Audio; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ### When should I avoid bigcode-evaluation-harness? Last GitHub push was 354 days ago (slowing maintenance, Jul 22, 2025). Validate activity before betting a new project on bigcode-evaluation-harness. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid LocalAI? Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ### Is bigcode-evaluation-harness or LocalAI more popular on GitHub? LocalAI has more GitHub stars (47,477 vs 1,053). Stars measure visibility, not whether either tool fits your constraints. ### Are bigcode-evaluation-harness and LocalAI open source? Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, LocalAI: MIT). ### Where can I find alternatives to bigcode-evaluation-harness or LocalAI? GraphCanon lists graph-backed alternatives at [bigcode-evaluation-harness alternatives](/tools/bigcode-project-bigcode-evaluation-harness/alternatives) and [LocalAI alternatives](/tools/mudler-localai/alternatives) ([bigcode-evaluation-harness markdown twin](/tools/bigcode-project-bigcode-evaluation-harness/alternatives.md), [LocalAI markdown twin](/tools/mudler-localai/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-bigcode-evaluation-harness-vs-mudler-localai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, bigcode-evaluation-harness or LocalAI? bigcode-evaluation-harness: Slowing. LocalAI: 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 bigcode-evaluation-harness and LocalAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [bigcode-evaluation-harness trust report](/tools/bigcode-project-bigcode-evaluation-harness/trust); [LocalAI trust report](/tools/mudler-localai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness`](/api/graphcanon/graph?tool=bigcode-project-bigcode-evaluation-harness) - 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/_