Comparison
UER-py vs awesome-pretrained-chinese-nlp-models
Verdict
Pick UER-py if uER-py, an open-source PyTorch framework with a diverse model zoo for training and fine-tuning language models; pick awesome-pretrained-chinese-nlp-models if a comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups.
Markdown twin · UER-py alternatives · awesome-pretrained-chinese-nlp-models alternatives
GraphCanon updated 1d
vs
awesome-pretrained-chinese-nlp-models
lonePatient/awesome-pretrained-chinese-nlp-models
★ 5.6kpushed Aug 14, 2026
Trust & integrity
| Signal | UER-py | awesome-pretrained-chinese-nlp-models |
|---|---|---|
| Maintenance | Dormant (836d since push) As of 1d · github_public_v1 | Very active (3d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- UER-py
- Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
- awesome-pretrained-chinese-nlp-models
- Curated list of high-quality Chinese pretrained NLP models
Stars
- UER-py
- 3.1k
- awesome-pretrained-chinese-nlp-models
- 5.6k
Forks
- UER-py
- 520
- awesome-pretrained-chinese-nlp-models
- 514
Open issues
- UER-py
- 136
- awesome-pretrained-chinese-nlp-models
- 6
Language
- UER-py
- Python
- awesome-pretrained-chinese-nlp-models
- Python
Adopt for
- UER-py
- UER-py, an open-source PyTorch framework with a diverse model zoo for training and fine-tuning language models.
- awesome-pretrained-chinese-nlp-models
- A comprehensive collection of advanced Chinese NLP models including large language models and multimodal setups.
Persona
- UER-py
- -
- awesome-pretrained-chinese-nlp-models
- -
Runtime
- UER-py
- -
- awesome-pretrained-chinese-nlp-models
- -
License
- UER-py
- Apache-2.0
- awesome-pretrained-chinese-nlp-models
- MIT
Last pushed
- UER-py
- May 9, 2024
- awesome-pretrained-chinese-nlp-models
- Aug 14, 2026
Categories
- UER-py
- LLM Frameworks, Model Training
- awesome-pretrained-chinese-nlp-models
- LLM Frameworks, Model Training
Trust and health
Maintenance
- UER-py
- Dormant (18%)
- awesome-pretrained-chinese-nlp-models
- Very active (96%)
Days since push
- UER-py
- 836d
- awesome-pretrained-chinese-nlp-models
- 3d
Open issues (now)
- UER-py
- 136
- awesome-pretrained-chinese-nlp-models
- 6
Stars delta
- UER-py
- +2 (30d)
- awesome-pretrained-chinese-nlp-models
- +8 (30d)
Owner type
- UER-py
- Organization
- awesome-pretrained-chinese-nlp-models
- User
Full report
- UER-py
- Trust report
- awesome-pretrained-chinese-nlp-models
- Trust report
Choose UER-py if…
- License: UER-py is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT.
- Pricing: The framework itself is free and open-source under Apache 2.0 license providing flexibility for modification with no costs..
- Requirements: Min 8 GB RAM; - Requires Python environment setup; - Needs PyTorch installation.
- Tags unique to UER-py: albert, bart, classification, clue.
- - When you need to work exclusively within the PyTorch ecosystem, UER-py provides extensive support for various pre-trained models and tasks without the necessity of switching frameworks.
When NOT to use UER-py
- - When you require more framework flexibility and are open to using TensorFlow or other deep learning libraries outside PyTorch.
- - If your project is sensitive to maintenance updates but the UER-py repository has not seen recent active contribution, preferring a tool actively maintained might be better.
Choose awesome-pretrained-chinese-nlp-models if…
- License: awesome-pretrained-chinese-nlp-models is MIT, UER-py is Apache-2.0.
- Tags unique to awesome-pretrained-chinese-nlp-models: dataset, ernie, gpt, large language models.
- When developing applications requiring high-quality, Chinese-specific large language model support
When NOT to use awesome-pretrained-chinese-nlp-models
- If the application requires extensive Western-language model integration
- Projects needing non-Chinese-specific fine-tuning or training will find limited utility
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dbiir/UER-py) · observed Aug 23, 2026
- GitHub forks (dbiir/UER-py) · observed Aug 23, 2026
- Last push (dbiir/UER-py) · observed May 9, 2024
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Aug 17, 2026
- GitHub forks (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Aug 17, 2026
- Last push (lonePatient/awesome-pretrained-chinese-nlp-models) · observed Aug 14, 2026
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: UER-py 3.1k · awesome-pretrained-chinese-nlp-models 5.6k (synced Aug 23, 2026).
Common questions
- What is the difference between UER-py and awesome-pretrained-chinese-nlp-models?
- UER-py: Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo. awesome-pretrained-chinese-nlp-models: Curated list of high-quality Chinese pretrained NLP models. See the comparison table for live GitHub stats and shared categories.
- When should I choose UER-py over awesome-pretrained-chinese-nlp-models?
- Choose UER-py over awesome-pretrained-chinese-nlp-models when License: UER-py is Apache-2.0, awesome-pretrained-chinese-nlp-models is MIT; Pricing: The framework itself is free and open-source under Apache 2.0 license providing flexibility for modification with no costs.; Requirements: Min 8 GB RAM; - Requires Python environment setup; - Needs PyTorch installation; Tags unique to UER-py: albert, bart, classification, clue; - When you need to work exclusively within the PyTorch ecosystem, UER-py provides extensive support for various pre-trained models and tasks without the necessity of switching frameworks.
- When should I choose awesome-pretrained-chinese-nlp-models over UER-py?
- Choose awesome-pretrained-chinese-nlp-models over UER-py when License: awesome-pretrained-chinese-nlp-models is MIT, UER-py is Apache-2.0; Tags unique to awesome-pretrained-chinese-nlp-models: dataset, ernie, gpt, large language models; When developing applications requiring high-quality, Chinese-specific large language model support.
- When should I avoid UER-py?
- - When you require more framework flexibility and are open to using TensorFlow or other deep learning libraries outside PyTorch. - If your project is sensitive to maintenance updates but the UER-py repository has not seen recent active contribution, preferring a tool actively maintained might be better.
- When should I avoid awesome-pretrained-chinese-nlp-models?
- If the application requires extensive Western-language model integration Projects needing non-Chinese-specific fine-tuning or training will find limited utility
- Is UER-py or awesome-pretrained-chinese-nlp-models more popular on GitHub?
- awesome-pretrained-chinese-nlp-models has more GitHub stars (5,579 vs 3,112). Stars measure visibility, not whether either tool fits your constraints.
- Are UER-py and awesome-pretrained-chinese-nlp-models open source?
- Yes - both are open-source projects on GitHub (UER-py: Apache-2.0, awesome-pretrained-chinese-nlp-models: MIT).
- Where can I find alternatives to UER-py or awesome-pretrained-chinese-nlp-models?
- GraphCanon lists graph-backed alternatives at UER-py alternatives and awesome-pretrained-chinese-nlp-models alternatives (UER-py markdown twin, awesome-pretrained-chinese-nlp-models 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, UER-py or awesome-pretrained-chinese-nlp-models?
- UER-py: Dormant. awesome-pretrained-chinese-nlp-models: 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 UER-py and awesome-pretrained-chinese-nlp-models?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: UER-py trust report; awesome-pretrained-chinese-nlp-models trust report.