Comparison
transformers vs stealing-ur-feelings
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.
Markdown twin · transformers alternatives · stealing-ur-feelings alternatives
GraphCanon updated today
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Trust & integrity
| Signal | transformers | stealing-ur-feelings |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1172d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- 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
Stars
- transformers
- 162k
- stealing-ur-feelings
- 924
Forks
- transformers
- 34k
- stealing-ur-feelings
- 33
Open issues
- transformers
- 2.5k
- stealing-ur-feelings
- 13
Language
- transformers
- Python
- stealing-ur-feelings
- JavaScript
Adopt for
- transformers
- 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
- stealing-ur-feelings
- -
Persona
- transformers
- -
- stealing-ur-feelings
- -
Runtime
- transformers
- -
- stealing-ur-feelings
- -
License
- transformers
- Transformers is distributed under the Apache-2.0 license, ensuring wide permissions for use in both open-source and proprietary systems.
- stealing-ur-feelings
- -
Last pushed
- transformers
- Jul 11, 2026
- stealing-ur-feelings
- Apr 26, 2023
Categories
- transformers
- LLM Frameworks, Model Training, Speech & Audio, Computer Vision, Inference & Serving
- stealing-ur-feelings
- Vector Databases, Speech & Audio, Computer Vision
Trust and health
Maintenance
- transformers
- Very active (96%)
- stealing-ur-feelings
- Dormant (18%)
Days since push
- transformers
- 0d
- stealing-ur-feelings
- 1172d
Open issues (now)
- transformers
- 2.5k
- stealing-ur-feelings
- 13
Owner type
- transformers
- Organization
- stealing-ur-feelings
- User
Full report
- transformers
- Trust report
- stealing-ur-feelings
- Trust report
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: pretrained models, deep-learning, machine-learning, python.
- Also covers LLM Frameworks, Model Training, Inference & Serving.
- 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 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.
Choose stealing-ur-feelings if…
- stealing-ur-feelings is primarily JavaScript; transformers is Python.
- Tags unique to stealing-ur-feelings: art, awards, ai, ar.
- Also covers Vector Databases.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huggingface/transformers) · observed Jul 11, 2026
- GitHub forks (huggingface/transformers) · observed Jul 11, 2026
- Last push (huggingface/transformers) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (noahlevenson/stealing-ur-feelings) · observed Jul 11, 2026
- GitHub forks (noahlevenson/stealing-ur-feelings) · observed Jul 11, 2026
- Last push (noahlevenson/stealing-ur-feelings) · observed Apr 26, 2023
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: transformers 162k · stealing-ur-feelings 924 (synced Jul 11, 2026).
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: pretrained models, deep-learning, machine-learning, python; Also covers LLM Frameworks, Model Training, Inference & Serving; 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: art, awards, ai, ar; 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 and stealing-ur-feelings alternatives (transformers markdown twin, stealing-ur-feelings 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, 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; stealing-ur-feelings trust report.