--- title: "transformers vs stealing-ur-feelings" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/huggingface-transformers-vs-noahlevenson-stealing-ur-feelings" tools: ["huggingface-transformers", "noahlevenson-stealing-ur-feelings"] --- # transformers vs stealing-ur-feelings *GraphCanon updated Jul 11, 2026* ## Verdict Pick transformers when transformers is primarily Python; stealing-ur-feelings is JavaScript; pick stealing-ur-feelings when stealing-ur-feelings is primarily JavaScript; transformers is Python. [transformers](https://huggingface.co/transformers) reports 162k GitHub stars, 34k forks, and 2.5k open issues, last pushed Jul 11, 2026. [stealing-ur-feelings](https://github.com/noahlevenson/stealing-ur-feelings) has 924 stars, 33 forks, and 13 open issues, last pushed Apr 26, 2023. Figures are from public GitHub metadata via [transformers's repository](https://github.com/huggingface/transformers) and [stealing-ur-feelings's repository](https://github.com/noahlevenson/stealing-ur-feelings). | | [transformers](/tools/huggingface-transformers.md) | [stealing-ur-feelings](/tools/noahlevenson-stealing-ur-feelings.md) | | --- | --- | --- | | Tagline | Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models | Winner of Mozilla's $50,000 prize for AI | | Stars | 162,482 | 924 | | Forks | 33,865 | 33 | | Open issues | 2,475 | 13 | | Language | Python | JavaScript | | Adopt for | Transformers is a versatile library for training and deploying state-of-the-art models across various domains such as NLP, computer vision, speech recognition, and multi-modal tasks. It supports PyTorch 2.4+ and Python 3 | - | | Persona | - | - | | Runtime | - | - | | License | Transformers is distributed under the Apache-2.0 license, ensuring wide permissions for use in both open-source and proprietary systems. | - | | Categories | Computer Vision, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio | Computer Vision, Speech & Audio, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [transformers](/tools/huggingface-transformers.md) | [stealing-ur-feelings](/tools/noahlevenson-stealing-ur-feelings.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1172d | | Open issues (now) | 2.5k | 13 | | Owner type | Organization | User | | Full report | [trust report](/tools/huggingface-transformers/trust.md) | [trust report](/tools/noahlevenson-stealing-ur-feelings/trust.md) | ## Decision facts: transformers - **Requirements:** Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+ - **Adopt for:** Transformers is a versatile library for training and deploying state-of-the-art models across various domains such as NLP, computer vision, speech recognition, and multi-modal tasks. It supports PyTorch 2.4+ and Python 3 - **License detail:** Transformers is distributed under the Apache-2.0 license, ensuring wide permissions for use in both open-source and proprietary systems. ## Choose when ### Choose transformers if… - transformers is primarily Python; stealing-ur-feelings is JavaScript. - Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+. - Tags unique to transformers: audio, deep-learning, machine-learning, natural-language-processing. - Also covers Inference & Serving, LLM Frameworks, Model Training. - The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs. ### Choose stealing-ur-feelings if… - stealing-ur-feelings is primarily JavaScript; transformers is Python. - Tags unique to stealing-ur-feelings: ai, ar, art, augmented-reality. - Also covers Vector Databases. ## When NOT to use transformers - If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable. - It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10. ## When NOT to use stealing-ur-feelings - Last GitHub push was 1173 days ago (dormant maintenance, Apr 26, 2023). Validate activity before betting a new project on stealing-ur-feelings. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between transformers and stealing-ur-feelings? transformers: Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models. stealing-ur-feelings: Winner of Mozilla's $50,000 prize for AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose transformers over stealing-ur-feelings? Choose transformers over stealing-ur-feelings when transformers is primarily Python; stealing-ur-feelings is JavaScript; Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+; Tags unique to transformers: audio, deep-learning, machine-learning, natural-language-processing; Also covers Inference & Serving, LLM Frameworks, Model Training; The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs. ### When should I choose stealing-ur-feelings over transformers? Choose stealing-ur-feelings over transformers when stealing-ur-feelings is primarily JavaScript; transformers is Python; Tags unique to stealing-ur-feelings: ai, ar, art, augmented-reality; Also covers Vector Databases. ### When should I avoid transformers? If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable. It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10. ### When should I avoid stealing-ur-feelings? Last GitHub push was 1173 days ago (dormant maintenance, Apr 26, 2023). Validate activity before betting a new project on stealing-ur-feelings. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is transformers or stealing-ur-feelings more popular on GitHub? transformers has more GitHub stars (162,482 vs 924). Stars measure visibility, not whether either tool fits your constraints. ### Are transformers and stealing-ur-feelings open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to transformers or stealing-ur-feelings? GraphCanon lists graph-backed alternatives at [transformers alternatives](/tools/huggingface-transformers/alternatives) and [stealing-ur-feelings alternatives](/tools/noahlevenson-stealing-ur-feelings/alternatives) ([transformers markdown twin](/tools/huggingface-transformers/alternatives.md), [stealing-ur-feelings markdown twin](/tools/noahlevenson-stealing-ur-feelings/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/huggingface-transformers-vs-noahlevenson-stealing-ur-feelings.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, transformers or stealing-ur-feelings? transformers: Very active. stealing-ur-feelings: Dormant. 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 transformers and stealing-ur-feelings? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [transformers trust report](/tools/huggingface-transformers/trust); [stealing-ur-feelings trust report](/tools/noahlevenson-stealing-ur-feelings/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=huggingface-transformers`](/api/graphcanon/graph?tool=huggingface-transformers) - 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/_