--- title: "heretic vs awesome-LLM-resources" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/p-e-w-heretic-vs-wangrongsheng-awesome-llm-resources" tools: ["p-e-w-heretic", "wangrongsheng-awesome-llm-resources"] --- # heretic vs awesome-LLM-resources *GraphCanon updated Sep 20, 2026* ## Verdict Pick heretic if heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference. [heretic](https://heretic-project.org) reports 32k GitHub stars, 3.5k forks, and 84 open issues, last pushed Sep 5, 2026. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) has 9.0k stars, 993 forks, and 40 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [heretic's repository](https://github.com/p-e-w/heretic) and [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources). | | [heretic](/tools/p-e-w-heretic.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Tagline | Fully automatic censorship removal for language models | Summary of the world's best LLM resources. | | Stars | 31,738 | 8,968 | | Forks | 3,547 | 993 | | Open issues | 84 | 40 | | Language | Python | - | | Adopt for | Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. | awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference. | | Persona | - | - | | Runtime | - | - | | License | Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. | The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution. | | Categories | LLM Frameworks | AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [heretic](/tools/p-e-w-heretic.md) | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 12d | 3d | | Open issues (now) | 84 | 40 | | Stars delta | +4.0k (30d) | +123 (30d) | | Open issues delta | +10 (30d) | +17 (30d) | | Full report | [trust report](/tools/p-e-w-heretic/trust.md) | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | ## Decision facts: heretic - **Requirements:** Heretic is a Python-based tool, so Python must be installed on the system where it will be used. - **Adopt for:** Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. - **License detail:** Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. ## Decision facts: awesome-LLM-resources - **Pricing:** freemium - The repository itself is free to use, but some linked resources may require payment or have associated costs. - **Requirements:** The repository does not specify any technical requirements for accessing its content. - **Adopt for:** awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference. - **License detail:** The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution. ## Choose when ### Choose heretic if… - License: heretic is AGPL-3.0, awesome-LLM-resources is Apache-2.0. - Requirements: Heretic is a Python-based tool, so Python must be installed on the system where it will be used.. - Tags unique to heretic: abliteration, transformer. - When you need to automatically remove censorship from language models and are comfortable with the AGPL-3.0 license, which requires that any derivative works be open source. ### Choose awesome-LLM-resources if… - License: awesome-LLM-resources is Apache-2.0, heretic is AGPL-3.0. - Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.. - Requirements: The repository does not specify any technical requirements for accessing its content.. - Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models. - Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training. - When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more. ## When NOT to use heretic - If your project cannot comply with the AGPL-3.0 license, as it mandates that any derivative works must also be open source. - When you are looking for a tool that does not automatically remove censorship, as Heretic is specifically designed for this purpose and may not align with projects that require manual or selective de- ## When NOT to use awesome-LLM-resources - If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. - When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support. ## Common questions ### What is the difference between heretic and awesome-LLM-resources? heretic: Fully automatic censorship removal for language models. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose heretic over awesome-LLM-resources? Choose heretic over awesome-LLM-resources when License: heretic is AGPL-3.0, awesome-LLM-resources is Apache-2.0; Requirements: Heretic is a Python-based tool, so Python must be installed on the system where it will be used.; Tags unique to heretic: abliteration, transformer; When you need to automatically remove censorship from language models and are comfortable with the AGPL-3.0 license, which requires that any derivative works be open source. ### When should I choose awesome-LLM-resources over heretic? Choose awesome-LLM-resources over heretic when License: awesome-LLM-resources is Apache-2.0, heretic is AGPL-3.0; Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more. ### When should I avoid heretic? If your project cannot comply with the AGPL-3.0 license, as it mandates that any derivative works must also be open source. When you are looking for a tool that does not automatically remove censorship, as Heretic is specifically designed for this purpose and may not align with projects that require manual or selective de- ### When should I avoid awesome-LLM-resources? If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support. ### Is heretic or awesome-LLM-resources more popular on GitHub? heretic has more GitHub stars (31,738 vs 8,968). Stars measure visibility, not whether either tool fits your constraints. ### Are heretic and awesome-LLM-resources open source? Yes - both are open-source projects on GitHub (heretic: AGPL-3.0, awesome-LLM-resources: Apache-2.0). ### Where can I find alternatives to heretic or awesome-LLM-resources? GraphCanon lists graph-backed alternatives at [heretic alternatives](/tools/p-e-w-heretic/alternatives) and [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) ([heretic markdown twin](/tools/p-e-w-heretic/alternatives.md), [awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/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/p-e-w-heretic-vs-wangrongsheng-awesome-llm-resources.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, heretic or awesome-LLM-resources? heretic: Active. awesome-LLM-resources: Very active. 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 heretic and awesome-LLM-resources? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [heretic trust report](/tools/p-e-w-heretic/trust); [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=p-e-w-heretic`](/api/graphcanon/graph?tool=p-e-w-heretic) - 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/_