Comparison
heretic vs awesome-LLM-resources
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.
Markdown twin · heretic alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | heretic | awesome-LLM-resources |
|---|---|---|
| Maintenance | Active (12d since push) As of Sep 18, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- heretic
- Fully automatic censorship removal for language models
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- heretic
- 32k
- awesome-LLM-resources
- 9.0k
Forks
- heretic
- 3.5k
- awesome-LLM-resources
- 993
Open issues
- heretic
- 84
- awesome-LLM-resources
- 40
Language
- heretic
- Python
- awesome-LLM-resources
- -
Adopt for
- heretic
- Heretic is a Python-based tool for automatic censorship removal in language models, using transformer technology.
- awesome-LLM-resources
- 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
- heretic
- -
- awesome-LLM-resources
- -
Runtime
- heretic
- -
- awesome-LLM-resources
- -
License
- heretic
- Heretic is licensed under the AGPL-3.0, which requires that any derivative works be open source and distributed under the same license.
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- heretic
- Sep 5, 2026
- awesome-LLM-resources
- Sep 14, 2026
Categories
- heretic
- LLM Frameworks
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- heretic
- Active (82%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- heretic
- 12d
- awesome-LLM-resources
- 3d
Open issues (now)
- heretic
- 84
- awesome-LLM-resources
- 40
Stars delta
- heretic
- +4.0k (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- heretic
- +10 (30d)
- awesome-LLM-resources
- +17 (30d)
Full report
- heretic
- Trust report
- awesome-LLM-resources
- Trust report
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.
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-
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (p-e-w/heretic) · observed Sep 20, 2026
- GitHub forks (p-e-w/heretic) · observed Sep 20, 2026
- Last push (p-e-w/heretic) · observed Sep 5, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: heretic 32k · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
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 and awesome-LLM-resources alternatives (heretic markdown twin, awesome-LLM-resources 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, 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; awesome-LLM-resources trust report.