Comparison
bigcode-evaluation-harness vs GAGE
Verdict
Pick bigcode-evaluation-harness if bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments; pick GAGE if gAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments.
Markdown twin · bigcode-evaluation-harness alternatives · GAGE alternatives
GraphCanon updated Sep 10, 2026
6views this month
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | GAGE |
|---|---|---|
| Maintenance | Dormant (409d since push) As of Sep 5, 2026 · github_public_v1 | Slowing (99d since push) As of Sep 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 5, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- bigcode-evaluation-harness
- A framework for evaluating autoregressive code generation language models.
- GAGE
- Unified Evaluation Engine for AI Models
Stars
- bigcode-evaluation-harness
- 1.1k
- GAGE
- 52
Forks
- bigcode-evaluation-harness
- 259
- GAGE
- 8
Open issues
- bigcode-evaluation-harness
- 96
- GAGE
- 3
Language
- bigcode-evaluation-harness
- Python
- GAGE
- Python
Adopt for
- bigcode-evaluation-harness
- bigcode-evaluation-harness is tailored towards evaluating autoregressive code generation models via Python and Docker containers for secure and reproducible execution environments.
- GAGE
- GAGE is a unified evaluation framework that offers fast local testing through a consistent pipeline for large language models, multimodal models, audio models, diffusion models, agents, and game environments.
Persona
- bigcode-evaluation-harness
- -
- GAGE
- -
Runtime
- bigcode-evaluation-harness
- -
- GAGE
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- GAGE
- (unknown) - License unknown, proceed with caution as license compliance may be unclear.
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- GAGE
- Jun 2, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- GAGE
- Evaluation & Observability
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- GAGE
- Slowing (36%)
Days since push
- bigcode-evaluation-harness
- 409d
- GAGE
- 99d
Open issues (now)
- bigcode-evaluation-harness
- 96
- GAGE
- 3
Stars delta
- bigcode-evaluation-harness
- +3 (30d)
- GAGE
- +1 (30d)
Full report
- bigcode-evaluation-harness
- Trust report
- GAGE
- Trust report
Choose bigcode-evaluation-harness if…
- Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation..
- Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python.
- bigcode-evaluation-harness ships Docker support for self-hosted deployment.
- When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
When NOT to use bigcode-evaluation-harness
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker.
- If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
Choose GAGE if…
- Tags unique to GAGE: agents, audio_models, diffusion-models, evaluation.
- If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong.
- More recently updated (last pushed Jun 2, 2026).
When NOT to use GAGE
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games.
- Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
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 Sep 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Sep 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Sep 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HiThink-Research/GAGE) · observed Sep 10, 2026
- GitHub forks (HiThink-Research/GAGE) · observed Sep 10, 2026
- Last push (HiThink-Research/GAGE) · observed Jun 2, 2026
- License file (unknown) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · GAGE 52 (synced Sep 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and GAGE?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. GAGE: Unified Evaluation Engine for AI Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over GAGE?
- Choose bigcode-evaluation-harness over GAGE when Requirements: Users must have Docker installed to leverage the isolated execution environments for model output evaluation.; Tags unique to bigcode-evaluation-harness: autoregressive models, code generation, docker, python; bigcode-evaluation-harness ships Docker support for self-hosted deployment; When you need to isolate the evaluation environment from your local development setup, ensuring that no external variables affect the outcomes of model performance assessments.
- When should I choose GAGE over bigcode-evaluation-harness?
- Choose GAGE over bigcode-evaluation-harness when Tags unique to GAGE: agents, audio_models, diffusion-models, evaluation; If you need to evaluate various AI model types with one engine, including game engines like Space Invaders or Mahjong; More recently updated (last pushed Jun 2, 2026).
- When should I avoid bigcode-evaluation-harness?
- When you require real-time evaluation without the overhead of generating outputs locally and then evaluating them within isolated environments via Docker. If your model's evaluation process does not necessitate autoregressive setup or the security features provided by Docker, using bigcode-evaluation-harness might introduce unnecessary complexity.
- When should I avoid GAGE?
- Avoid if your project requires real-time multiplayer game evaluation capabilities since GAGE focuses more on single-agent sandbox environments and turn-based games. Not suitable for scenarios where a visual interface is needed for the evaluation process but does not require replayable artifacts or structured arena traces.
- Is bigcode-evaluation-harness or GAGE more popular on GitHub?
- bigcode-evaluation-harness has more GitHub stars (1,058 vs 52). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and GAGE open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to bigcode-evaluation-harness or GAGE?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and GAGE alternatives (bigcode-evaluation-harness markdown twin, GAGE 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 GAGE?
- bigcode-evaluation-harness: Dormant. GAGE: 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 bigcode-evaluation-harness and GAGE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; GAGE trust report.