Home/Compare/heretic vs awesome-LLM-resources

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

heretic logo

heretic

p-e-w/heretic

★ 32kpushed Sep 5, 2026
vs
awesome-LLM-resources logo

awesome-LLM-resources

WangRongsheng/awesome-LLM-resources

★ 9.0kpushed Sep 14, 2026

Trust & integrity

Signalhereticawesome-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

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 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.

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