Comparison
evalplus vs EAGLE
Verdict
Pick evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license; pick EAGLE if eAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Markdown twin · evalplus alternatives · EAGLE alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | evalplus | EAGLE |
|---|---|---|
| Maintenance | Slowing (306d since push) As of 2w · github_public_v1 | Slowing (155d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1mo · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- evalplus
- Rigorous evaluation of LLM-synthesized code
- EAGLE
- Official Implementation of EAGLE Series Models
Stars
- evalplus
- 1.8k
- EAGLE
- 2.5k
Forks
- evalplus
- 205
- EAGLE
- 297
Open issues
- evalplus
- 71
- EAGLE
- 101
Language
- evalplus
- Python
- EAGLE
- Python
Adopt for
- evalplus
- evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.
- EAGLE
- EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Persona
- evalplus
- -
- EAGLE
- -
Runtime
- evalplus
- -
- EAGLE
- -
License
- evalplus
- Apache-2.0
- EAGLE
- Other
Last pushed
- evalplus
- Oct 2, 2025
- EAGLE
- Feb 20, 2026
Categories
- evalplus
- Evaluation & Observability
- EAGLE
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- evalplus
- 306d
- EAGLE
- 155d
Open issues (now)
- evalplus
- 71
- EAGLE
- 101
OSV dependency advisories
- evalplus
- No published findings from this source as of 2026-07-11
- EAGLE
- No lockfile (source not queried)
Full report
- evalplus
- Trust report
- EAGLE
- Trust report
Shared compatibility
- Python · evalplus: Python runtime · EAGLE: Python runtime
Choose evalplus if…
- License: evalplus is Apache-2.0, EAGLE is Other.
- Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis.
- Also covers Evaluation & Observability.
- evalplus ships Docker support for self-hosted deployment.
- When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
When NOT to use evalplus
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
- Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
Choose EAGLE if…
- License: EAGLE is Other, evalplus 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 (evalplus/evalplus) · observed Aug 5, 2026
- GitHub forks (evalplus/evalplus) · observed Aug 5, 2026
- Last push (evalplus/evalplus) · observed Oct 2, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SafeAILab/EAGLE) · observed Aug 24, 2026
- GitHub forks (SafeAILab/EAGLE) · observed Aug 24, 2026
- Last push (SafeAILab/EAGLE) · observed Feb 20, 2026
- License file (Other) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evalplus 1.8k · EAGLE 2.5k (synced Aug 5, 2026).
Common questions
- What is the difference between evalplus and EAGLE?
- evalplus: Rigorous evaluation of LLM-synthesized code. EAGLE: Official Implementation of EAGLE Series Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose evalplus over EAGLE?
- Choose evalplus over EAGLE when License: evalplus is Apache-2.0, EAGLE is Other; Tags unique to evalplus: benchmark, chatgpt, efficiency, program-synthesis; Also covers Evaluation & Observability; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.
- When should I choose EAGLE over evalplus?
- Choose EAGLE over evalplus when License: EAGLE is Other, evalplus 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 evalplus?
- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.
- 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 evalplus or EAGLE more popular on GitHub?
- EAGLE has more GitHub stars (2,510 vs 1,794). Stars measure visibility, not whether either tool fits your constraints.
- Are evalplus and EAGLE open source?
- Yes - both are open-source projects on GitHub (evalplus: Apache-2.0, EAGLE: Other).
- Where can I find alternatives to evalplus or EAGLE?
- GraphCanon lists graph-backed alternatives at evalplus alternatives and EAGLE alternatives (evalplus 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, evalplus or EAGLE?
- evalplus: Slowing. 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 evalplus and EAGLE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalplus trust report; EAGLE trust report.