Comparison
Awesome-Chinese-LLM vs Paddle
Verdict
Pick Awesome-Chinese-LLM if awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment; pick Paddle if paddle excels in performance optimization for deep learning and machine-learning workflows, supporting efficient training across varying platforms.
Markdown twin · Awesome-Chinese-LLM alternatives · Paddle alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | Awesome-Chinese-LLM | Paddle |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 5d · github_public_v1 | Very active (2d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 5d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- Awesome-Chinese-LLM
- 整理开源的中文大语言模型
- Paddle
- High-performance single-machine and distributed deep learning & machine learning framework
Stars
- Awesome-Chinese-LLM
- 23k
- Paddle
- 24k
Forks
- Awesome-Chinese-LLM
- 2.1k
- Paddle
- 6.0k
Open issues
- Awesome-Chinese-LLM
- 27
- Paddle
- 1.5k
Language
- Awesome-Chinese-LLM
- -
- Paddle
- C++
Adopt for
- Awesome-Chinese-LLM
- Awesome-Chinese-LLM is a curated list focusing on smaller, less computationally expensive Chinese language models suitable for private deployment.
- Paddle
- Paddle excels in performance optimization for deep learning and machine-learning workflows, supporting efficient training across varying platforms.
Persona
- Awesome-Chinese-LLM
- -
- Paddle
- -
Runtime
- Awesome-Chinese-LLM
- -
- Paddle
- -
License
- Awesome-Chinese-LLM
- -
- Paddle
- Apache-2.0
Last pushed
- Awesome-Chinese-LLM
- May 10, 2026
- Paddle
- Jul 31, 2026
Categories
- Awesome-Chinese-LLM
- LLM Frameworks, Model Training
- Paddle
- Model Training
Trust and health
Maintenance
- Awesome-Chinese-LLM
- Slowing (36%)
- Paddle
- Very active (96%)
Days since push
- Awesome-Chinese-LLM
- 98d
- Paddle
- 2d
Open issues (now)
- Awesome-Chinese-LLM
- 27
- Paddle
- 1.5k
Stars delta
- Awesome-Chinese-LLM
- +53 (30d)
- Paddle
- Unknown
Open issues delta
- Awesome-Chinese-LLM
- +3 (30d)
- Paddle
- Unknown
Owner type
- Awesome-Chinese-LLM
- User
- Paddle
- Organization
Full report
- Awesome-Chinese-LLM
- Trust report
- Paddle
- Trust report
Choose Awesome-Chinese-LLM if…
- Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama.
- Also covers LLM Frameworks.
- If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
When NOT to use Awesome-Chinese-LLM
- Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese.
- If your deployment scenario is limited to public cloud services only without the option for private deployment.
Choose Paddle if…
- Tags unique to Paddle: deep-learning, distributed-training, efficiency, machine-learning.
- When you need a framework that supports both traditional machine learning and deep learning, optimized for performance
- More GitHub stars (24k vs 23k) - visibility, not fit.
When NOT to use Paddle
- If your project requires extensive GPU-acceleration features not as prominently featured in Paddle
- When you prefer frameworks with more active community support and a larger set of pre-built models for various use cases
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AiHubCN/Awesome-Chinese-LLM) · observed Aug 17, 2026
- GitHub forks (AiHubCN/Awesome-Chinese-LLM) · observed Aug 17, 2026
- Last push (AiHubCN/Awesome-Chinese-LLM) · observed May 10, 2026
- License file (unknown) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (PaddlePaddle/Paddle) · observed Aug 3, 2026
- GitHub forks (PaddlePaddle/Paddle) · observed Aug 3, 2026
- Last push (PaddlePaddle/Paddle) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-Chinese-LLM 23k · Paddle 24k (synced Aug 17, 2026).
Common questions
- What is the difference between Awesome-Chinese-LLM and Paddle?
- Awesome-Chinese-LLM: 整理开源的中文大语言模型. Paddle: High-performance single-machine and distributed deep learning & machine learning framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Chinese-LLM over Paddle?
- Choose Awesome-Chinese-LLM over Paddle when Tags unique to Awesome-Chinese-LLM: awesome-lists, chatglm, chinese, llama; Also covers LLM Frameworks; If you are looking to implement low-cost and efficient Chinese NLP solutions that can be deployed privately.
- When should I choose Paddle over Awesome-Chinese-LLM?
- Choose Paddle over Awesome-Chinese-LLM when Tags unique to Paddle: deep-learning, distributed-training, efficiency, machine-learning; When you need a framework that supports both traditional machine learning and deep learning, optimized for performance; More GitHub stars (24k vs 23k) - visibility, not fit.
- When should I avoid Awesome-Chinese-LLM?
- Avoid if your project necessitates large-scale, highly advanced computational capabilities or you are working with languages other than Chinese. If your deployment scenario is limited to public cloud services only without the option for private deployment.
- When should I avoid Paddle?
- If your project requires extensive GPU-acceleration features not as prominently featured in Paddle When you prefer frameworks with more active community support and a larger set of pre-built models for various use cases
- Is Awesome-Chinese-LLM or Paddle more popular on GitHub?
- Paddle has more GitHub stars (24,040 vs 22,738). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Chinese-LLM and Paddle open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Awesome-Chinese-LLM or Paddle?
- GraphCanon lists graph-backed alternatives at Awesome-Chinese-LLM alternatives and Paddle alternatives (Awesome-Chinese-LLM markdown twin, Paddle 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, Awesome-Chinese-LLM or Paddle?
- Awesome-Chinese-LLM: Slowing. Paddle: 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 Awesome-Chinese-LLM and Paddle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Chinese-LLM trust report; Paddle trust report.