Comparison
ReNeLLM vs EAGLE
Verdict
Pick ReNeLLM if reNeLLM is an implementation of generalized nested jailbreak prompts targeting large language models such as gpt-3.5-turbo and claude-v2; pick EAGLE if eAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Markdown twin · ReNeLLM alternatives · EAGLE alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | ReNeLLM | EAGLE |
|---|---|---|
| Maintenance | Slowing (336d since push) As of 3w · github_public_v1 | Slowing (155d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1mo · 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
- ReNeLLM
- Implementation of generalized nested jailbreak prompts targeting large language models.
- EAGLE
- Official Implementation of EAGLE Series Models
Stars
- ReNeLLM
- 163
- EAGLE
- 2.5k
Forks
- ReNeLLM
- 17
- EAGLE
- 297
Open issues
- ReNeLLM
- 0
- EAGLE
- 101
Language
- ReNeLLM
- Python
- EAGLE
- Python
Adopt for
- ReNeLLM
- ReNeLLM is an implementation of generalized nested jailbreak prompts targeting large language models such as gpt-3.5-turbo and claude-v2.
- EAGLE
- EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding.
Persona
- ReNeLLM
- -
- EAGLE
- -
Runtime
- ReNeLLM
- -
- EAGLE
- -
License
- ReNeLLM
- MIT
- EAGLE
- Other
Last pushed
- ReNeLLM
- Sep 2, 2025
- EAGLE
- Feb 20, 2026
Categories
- ReNeLLM
- Evaluation & Observability, Inference & Serving
- EAGLE
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- ReNeLLM
- 336d
- EAGLE
- 155d
Open issues (now)
- ReNeLLM
- 0
- EAGLE
- 101
OSV dependency advisories
- ReNeLLM
- Published findings
- EAGLE
- No lockfile (source not queried)
Full report
- ReNeLLM
- Trust report
- EAGLE
- Trust report
Shared compatibility
- Python · ReNeLLM: Python runtime · EAGLE: Python runtime
Choose ReNeLLM if…
- License: ReNeLLM is MIT, EAGLE is Other.
- Tags unique to ReNeLLM: api interaction, jailbreak prompts, language model evaluation, model reliability assessment.
- Also covers Evaluation & Observability.
- When you aim to evaluate the susceptibility of LLMs like gpt-3.5-turbo and claude-v2 to deception or jailbroken prompts.
When NOT to use ReNeLLM
- When you wish to develop applications that strictly adhere to ethical guidelines and do not involve the testing of harmful prompts.
- If your focus is on building production-ready LLM-based services without interest in evaluating security or adversarial aspects of these models.
Choose EAGLE if…
- License: EAGLE is Other, ReNeLLM is MIT.
- Tags unique to EAGLE: large language models, llm-inference, speculative-decoding.
- Also covers 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 (NJUNLP/ReNeLLM) · observed Aug 5, 2026
- GitHub forks (NJUNLP/ReNeLLM) · observed Aug 5, 2026
- Last push (NJUNLP/ReNeLLM) · observed Sep 2, 2025
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 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: ReNeLLM 163 · EAGLE 2.5k (synced Aug 5, 2026).
Common questions
- What is the difference between ReNeLLM and EAGLE?
- ReNeLLM: Implementation of generalized nested jailbreak prompts targeting large language models.. EAGLE: Official Implementation of EAGLE Series Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose ReNeLLM over EAGLE?
- Choose ReNeLLM over EAGLE when License: ReNeLLM is MIT, EAGLE is Other; Tags unique to ReNeLLM: api interaction, jailbreak prompts, language model evaluation, model reliability assessment; Also covers Evaluation & Observability; When you aim to evaluate the susceptibility of LLMs like gpt-3.5-turbo and claude-v2 to deception or jailbroken prompts.
- When should I choose EAGLE over ReNeLLM?
- Choose EAGLE over ReNeLLM when License: EAGLE is Other, ReNeLLM is MIT; Tags unique to EAGLE: large language models, llm-inference, speculative-decoding; Also covers 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 ReNeLLM?
- When you wish to develop applications that strictly adhere to ethical guidelines and do not involve the testing of harmful prompts. If your focus is on building production-ready LLM-based services without interest in evaluating security or adversarial aspects of these models.
- 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 ReNeLLM or EAGLE more popular on GitHub?
- EAGLE has more GitHub stars (2,510 vs 163). Stars measure visibility, not whether either tool fits your constraints.
- Are ReNeLLM and EAGLE open source?
- Yes - both are open-source projects on GitHub (ReNeLLM: MIT, EAGLE: Other).
- Where can I find alternatives to ReNeLLM or EAGLE?
- GraphCanon lists graph-backed alternatives at ReNeLLM alternatives and EAGLE alternatives (ReNeLLM 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, ReNeLLM or EAGLE?
- ReNeLLM: 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 ReNeLLM and EAGLE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ReNeLLM trust report; EAGLE trust report.