--- title: "ReNeLLM vs EAGLE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/njunlp-renellm-vs-safeailab-eagle" tools: ["njunlp-renellm", "safeailab-eagle"] --- # ReNeLLM vs EAGLE *GraphCanon updated Aug 24, 2026* ## 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. [ReNeLLM](https://github.com/NJUNLP/ReNeLLM) reports 163 GitHub stars, 17 forks, and 0 open issues, last pushed Sep 2, 2025. [EAGLE](https://arxiv.org/pdf/2503.01840) has 2.5k stars, 297 forks, and 101 open issues, last pushed Feb 20, 2026. Figures are from public GitHub metadata via [ReNeLLM's repository](https://github.com/NJUNLP/ReNeLLM) and [EAGLE's repository](https://github.com/SafeAILab/EAGLE). | | [ReNeLLM](/tools/njunlp-renellm.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Tagline | Implementation of generalized nested jailbreak prompts targeting large language models. | Official Implementation of EAGLE Series Models | | Stars | 163 | 2,510 | | Forks | 17 | 297 | | Open issues | 0 | 101 | | Language | Python | Python | | Adopt for | ReNeLLM is an implementation of generalized nested jailbreak prompts targeting large language models such as gpt-3.5-turbo and claude-v2. | EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Evaluation & Observability, Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ReNeLLM](/tools/njunlp-renellm.md) | [EAGLE](/tools/safeailab-eagle.md) | | --- | --- | --- | | Days since push | 336d | 155d | | Open issues (now) | 0 | 101 | | Full report | [trust report](/tools/njunlp-renellm/trust.md) | [trust report](/tools/safeailab-eagle/trust.md) | ## Shared compatibility - **Python**: [ReNeLLM](/tools/njunlp-renellm.md) - Python runtime; [EAGLE](/tools/safeailab-eagle.md) - Python runtime ## Decision facts: ReNeLLM - **Adopt for:** ReNeLLM is an implementation of generalized nested jailbreak prompts targeting large language models such as gpt-3.5-turbo and claude-v2. ## Decision facts: EAGLE - **Adopt for:** EAGLE offers official implementations for its series of large language models with emphasis on inference and speculative decoding. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/njunlp-renellm/alternatives) and [EAGLE alternatives](/tools/safeailab-eagle/alternatives) ([ReNeLLM markdown twin](/tools/njunlp-renellm/alternatives.md), [EAGLE markdown twin](/tools/safeailab-eagle/alternatives.md)), 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](/compare/njunlp-renellm-vs-safeailab-eagle.md) 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](/tools/njunlp-renellm/trust); [EAGLE trust report](/tools/safeailab-eagle/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=njunlp-renellm`](/api/graphcanon/graph?tool=njunlp-renellm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_