Comparison
bigcode-evaluation-harness vs EAGLE
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 EAGLE if eAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Markdown twin · bigcode-evaluation-harness alternatives · EAGLE alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | bigcode-evaluation-harness | EAGLE |
|---|---|---|
| Maintenance | Dormant (378d since push) As of 1w · github_public_v1 | Slowing (155d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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.
- EAGLE
- Official Implementation of EAGLE Series Models
Stars
- bigcode-evaluation-harness
- 1.1k
- EAGLE
- 2.5k
Forks
- bigcode-evaluation-harness
- 261
- EAGLE
- 291
Open issues
- bigcode-evaluation-harness
- 96
- EAGLE
- 101
Language
- bigcode-evaluation-harness
- Python
- EAGLE
- 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.
- EAGLE
- EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Persona
- bigcode-evaluation-harness
- -
- EAGLE
- -
Runtime
- bigcode-evaluation-harness
- -
- EAGLE
- -
License
- bigcode-evaluation-harness
- bigcode-evaluation-harness is distributed under the Apache-2.0 license.
- EAGLE
- Other
Last pushed
- bigcode-evaluation-harness
- Jul 22, 2025
- EAGLE
- Feb 20, 2026
Categories
- bigcode-evaluation-harness
- Evaluation & Observability
- EAGLE
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- bigcode-evaluation-harness
- Dormant (18%)
- EAGLE
- Slowing (36%)
Days since push
- bigcode-evaluation-harness
- 378d
- EAGLE
- 155d
Open issues (now)
- bigcode-evaluation-harness
- 96
- EAGLE
- 101
OSV dependency advisories
- bigcode-evaluation-harness
- Published findings
- EAGLE
- No lockfile (source not queried)
Full report
- bigcode-evaluation-harness
- Trust report
- EAGLE
- Trust report
Choose bigcode-evaluation-harness if…
- License: bigcode-evaluation-harness is Apache-2.0, EAGLE is Other.
- 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.
- Also covers Evaluation & Observability.
- 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 EAGLE if…
- License: EAGLE is Other, bigcode-evaluation-harness is Apache-2.0.
- Tags unique to EAGLE: large language models, llm-inference, speculative-decoding.
- Also covers Inference & Serving, LLM Frameworks.
- If your project requires the latest advancements in model capabilities from ICML'24, EMNLP'24, and NeurIPS'25 as provided by EAGLE-1, EAGLE-2, or EAGLE-3.
When NOT to use EAGLE
- If the specific advancements and techniques implemented in ICML'24 papers are not relevant to your project.
- In cases where speculative decoding does not align with the goals or methods of your application, opting for EAGLE may not be beneficial.
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 Aug 5, 2026
- GitHub forks (bigcode-project/bigcode-evaluation-harness) · observed Aug 5, 2026
- Last push (bigcode-project/bigcode-evaluation-harness) · observed Jul 22, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SafeAILab/EAGLE) · observed Jul 25, 2026
- GitHub forks (SafeAILab/EAGLE) · observed Jul 25, 2026
- Last push (SafeAILab/EAGLE) · observed Feb 20, 2026
- License file (Other) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bigcode-evaluation-harness 1.1k · EAGLE 2.5k (synced Aug 5, 2026).
Common questions
- What is the difference between bigcode-evaluation-harness and EAGLE?
- bigcode-evaluation-harness: A framework for evaluating autoregressive code generation language models.. EAGLE: Official Implementation of EAGLE Series Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose bigcode-evaluation-harness over EAGLE?
- Choose bigcode-evaluation-harness over EAGLE when License: bigcode-evaluation-harness is Apache-2.0, EAGLE is Other; 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; Also covers Evaluation & Observability; 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 EAGLE over bigcode-evaluation-harness?
- Choose EAGLE over bigcode-evaluation-harness when License: EAGLE is Other, bigcode-evaluation-harness is Apache-2.0; Tags unique to EAGLE: large language models, llm-inference, speculative-decoding; Also covers Inference & Serving, LLM Frameworks; If your project requires the latest advancements in model capabilities from ICML'24, EMNLP'24, and NeurIPS'25 as provided by EAGLE-1, EAGLE-2, or EAGLE-3.
- 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 EAGLE?
- If the specific advancements and techniques implemented in ICML'24 papers are not relevant to your project. In cases where speculative decoding does not align with the goals or methods of your application, opting for EAGLE may not be beneficial.
- Is bigcode-evaluation-harness or EAGLE more popular on GitHub?
- EAGLE has more GitHub stars (2,478 vs 1,055). Stars measure visibility, not whether either tool fits your constraints.
- Are bigcode-evaluation-harness and EAGLE open source?
- Yes - both are open-source projects on GitHub (bigcode-evaluation-harness: Apache-2.0, EAGLE: Other).
- Where can I find alternatives to bigcode-evaluation-harness or EAGLE?
- GraphCanon lists graph-backed alternatives at bigcode-evaluation-harness alternatives and EAGLE alternatives (bigcode-evaluation-harness markdown twin, EAGLE 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 EAGLE?
- bigcode-evaluation-harness: Dormant. EAGLE: 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 EAGLE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bigcode-evaluation-harness trust report; EAGLE trust report.