Comparison
bigcode-evaluation-harness vs LocalAI
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.
Markdown twin · bigcode-evaluation-harness alternatives · LocalAI alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | LocalAI |
|---|---|---|
| Maintenance | Slowing (354d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 46 low (46 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- 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.
Stars
- bigcode-evaluation-harness
- 1.1k
- LocalAI
- 47k
Forks
- bigcode-evaluation-harness
- 263
- LocalAI
- 4.2k
Open issues
- bigcode-evaluation-harness
- 97
- LocalAI
- 207
Language
- bigcode-evaluation-harness
- Python
- LocalAI
- Go
Adopt for
- bigcode-evaluation-harness
- -
- LocalAI
- 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
- bigcode-evaluation-harness
- -
- LocalAI
- -
Runtime
- bigcode-evaluation-harness
- -
- LocalAI
- -
License
- bigcode-evaluation-harness
- Apache-2.0
- LocalAI
- MIT
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- LocalAI
- Jul 11, 2026
Categories
- bigcode-evaluation-harness
- LLM Frameworks, Computer Vision, Evaluation & Observability
- LocalAI
- LLM Frameworks, Speech & Audio, Computer Vision
Trust and health
Maintenance
- bigcode-evaluation-harness
- Slowing (36%)
- LocalAI
- Very active (96%)
Days since push
- bigcode-evaluation-harness
- 354d
- LocalAI
- 0d
Open issues (now)
- bigcode-evaluation-harness
- 97
- LocalAI
- 207
Owner type
- bigcode-evaluation-harness
- Organization
- LocalAI
- User
Security scan
- bigcode-evaluation-harness
- 46 low (46 low)
- LocalAI
- No MCP manifest
Full report
- bigcode-evaluation-harness
- Trust report
- LocalAI
- Trust report
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.
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.
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 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).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/bigcode-evaluation-harness) · observed Jul 11, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Jul 11, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mudler/LocalAI) · observed Jul 11, 2026
- GitHub forks (mudler/LocalAI) · observed Jul 11, 2026
- Last push (mudler/LocalAI) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · LocalAI 47k (synced Jul 11, 2026).
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 and LocalAI alternatives (bigcode-evaluation-harness markdown twin, LocalAI markdown twin), 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 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; LocalAI trust report.