--- title: "Awesome-AIGC-Tutorials vs heretic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/luban-agi-awesome-aigc-tutorials-vs-p-e-w-heretic" tools: ["luban-agi-awesome-aigc-tutorials", "p-e-w-heretic"] --- # Awesome-AIGC-Tutorials vs heretic *GraphCanon updated Sep 20, 2026* ## Verdict Pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry; pick heretic if heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) reports 4.5k GitHub stars, 298 forks, and 10 open issues, last pushed Mar 31, 2024. [heretic](https://heretic-project.org) has 32k stars, 3.5k forks, and 84 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials) and [heretic's repository](https://github.com/p-e-w/heretic). | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Tagline | Curated tutorials and resources for Large Language Models, AI Painting, and more | Fully automatic censorship removal for language models | | Stars | 4,547 | 31,738 | | Forks | 298 | 3,547 | | Open issues | 10 | 84 | | Language | - | Python | | Adopt for | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology. | | Persona | - | - | | Runtime | - | - | | License | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license. | | Categories | Developer Tools, LLM Frameworks, Model Training | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [heretic](/tools/p-e-w-heretic.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 902d | 12d | | Open issues (now) | 10 | 84 | | Stars delta | +25 (30d) | +4.0k (30d) | | Open issues delta | 0 (30d) | +10 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | [trust report](/tools/p-e-w-heretic/trust.md) | ## Decision facts: Awesome-AIGC-Tutorials - **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial. - **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. - **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. ## 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. ## Choose when ### Choose Awesome-AIGC-Tutorials if… - License: Awesome-AIGC-Tutorials is MIT, heretic is AGPL-3.0. - Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.. - Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning. - Also covers Developer Tools, Model Training. - If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### Choose heretic if… - License: heretic is AGPL-3.0, Awesome-AIGC-Tutorials is MIT. - 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 NOT to use Awesome-AIGC-Tutorials - Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. - Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ## 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- ## Common questions ### What is the difference between Awesome-AIGC-Tutorials and heretic? Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. heretic: Fully automatic censorship removal for language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-AIGC-Tutorials over heretic? Choose Awesome-AIGC-Tutorials over heretic when License: Awesome-AIGC-Tutorials is MIT, heretic is AGPL-3.0; Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, chatgpt, deep-learning; Also covers Developer Tools, Model Training; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### When should I choose heretic over Awesome-AIGC-Tutorials? Choose heretic over Awesome-AIGC-Tutorials when License: heretic is AGPL-3.0, Awesome-AIGC-Tutorials is MIT; 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 avoid Awesome-AIGC-Tutorials? Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ### 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- ### Is Awesome-AIGC-Tutorials or heretic more popular on GitHub? heretic has more GitHub stars (31,738 vs 4,547). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-AIGC-Tutorials and heretic open source? Yes - both are open-source projects on GitHub (Awesome-AIGC-Tutorials: MIT, heretic: AGPL-3.0). ### Where can I find alternatives to Awesome-AIGC-Tutorials or heretic? GraphCanon lists graph-backed alternatives at [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) and [heretic alternatives](/tools/p-e-w-heretic/alternatives) ([Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/alternatives.md), [heretic markdown twin](/tools/p-e-w-heretic/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/luban-agi-awesome-aigc-tutorials-vs-p-e-w-heretic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-AIGC-Tutorials or heretic? Awesome-AIGC-Tutorials: Dormant. heretic: 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 Awesome-AIGC-Tutorials and heretic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust); [heretic trust report](/tools/p-e-w-heretic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials`](/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials) - 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/_