Comparison
Aquila2 vs Eagle
Verdict
Pick Aquila2 if official suite for Aquila2 series LLM by BAAI; pick Eagle if eagle: Frontier Vision-Language Models with Data-Centric Strategies.
Markdown twin · Aquila2 alternatives · Eagle alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | Aquila2 | Eagle |
|---|---|---|
| Maintenance | Dormant (708d since push) As of Sep 20, 2026 · github_public_v1 | Steady (54d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- Aquila2
- Official repository for Aquila2 series large language models by BAAI
- Eagle
- Frontier Vision-Language Models with Data-Centric Strategies
Stars
- Aquila2
- 445
- Eagle
- 3.4k
Forks
- Aquila2
- 32
- Eagle
- 327
Open issues
- Aquila2
- 2
- Eagle
- 62
Language
- Aquila2
- Python
- Eagle
- Python
Adopt for
- Aquila2
- Official suite for Aquila2 series LLM by BAAI
- Eagle
- Eagle: Frontier Vision-Language Models with Data-Centric Strategies
Persona
- Aquila2
- -
- Eagle
- -
Runtime
- Aquila2
- -
- Eagle
- -
License
- Aquila2
- (unknown)
- Eagle
- The code is released under Apache 2.0 license, while the pretrained models are under CC BY-NC 4.0 or NVIDIA licenses for non-commercial use only.
Last pushed
- Aquila2
- Oct 11, 2024
- Eagle
- Jun 24, 2026
Categories
- Aquila2
- Inference & Serving, LLM Frameworks, Model Training
- Eagle
- Computer Vision, LLM Frameworks
Trust and health
Maintenance
- Aquila2
- Dormant (18%)
- Eagle
- Steady (60%)
Days since push
- Aquila2
- 708d
- Eagle
- 54d
Open issues (now)
- Aquila2
- 2
- Eagle
- 62
Stars delta
- Aquila2
- -1 (30d)
- Eagle
- +199 (30d)
Open issues delta
- Aquila2
- 0 (30d)
- Eagle
- +3 (30d)
Full report
- Aquila2
- Trust report
- Eagle
- Trust report
Choose Aquila2 if…
- Tags unique to Aquila2: llm, llm-inference, llm-training.
- Also covers Inference & Serving, Model Training.
- Need specialized support from Beijing Academy of Artificial Intelligence
When NOT to use Aquila2
- Require comprehensive API and documentation clarity
- Preferring open source licensing details
Choose Eagle if…
- Pricing: Free for non-commercial use; requires adherence to licensing agreements.
- Requirements: Min 8 GB RAM; Ensure compliance with all applicable laws and regulations when using the dataset and model weights..
- Tags unique to Eagle: data-centric-strategies, gpt4, huggingface, llm-improvements.
- Also covers Computer Vision.
- When you need advanced vision-language models enhanced by data-centric strategies developed by NVlabs and improved using Qwen.
When NOT to use Eagle
- If your project requires commercial use, as Eagle's models are intended for non-commercial use only under the CC BY-NC 4.0 License or NVIDIA License.
- In situations where you require a vision-language model that does not rely on improvements made using Qwen.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- GitHub forks (FlagAI-Open/Aquila2) · observed Sep 20, 2026
- Last push (FlagAI-Open/Aquila2) · observed Oct 11, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVlabs/Eagle) · observed Sep 20, 2026
- GitHub forks (NVlabs/Eagle) · observed Sep 20, 2026
- Last push (NVlabs/Eagle) · observed Jun 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Aquila2 445 · Eagle 3.4k (synced Sep 20, 2026).
Common questions
- What is the difference between Aquila2 and Eagle?
- Aquila2: Official repository for Aquila2 series large language models by BAAI. Eagle: Frontier Vision-Language Models with Data-Centric Strategies. See the comparison table for live GitHub stats and shared categories.
- When should I choose Aquila2 over Eagle?
- Choose Aquila2 over Eagle when Tags unique to Aquila2: llm, llm-inference, llm-training; Also covers Inference & Serving, Model Training; Need specialized support from Beijing Academy of Artificial Intelligence.
- When should I choose Eagle over Aquila2?
- Choose Eagle over Aquila2 when Pricing: Free for non-commercial use; requires adherence to licensing agreements; Requirements: Min 8 GB RAM; Ensure compliance with all applicable laws and regulations when using the dataset and model weights.; Tags unique to Eagle: data-centric-strategies, gpt4, huggingface, llm-improvements; Also covers Computer Vision; When you need advanced vision-language models enhanced by data-centric strategies developed by NVlabs and improved using Qwen.
- When should I avoid Aquila2?
- Require comprehensive API and documentation clarity Preferring open source licensing details
- When should I avoid Eagle?
- If your project requires commercial use, as Eagle's models are intended for non-commercial use only under the CC BY-NC 4.0 License or NVIDIA License. In situations where you require a vision-language model that does not rely on improvements made using Qwen.
- Is Aquila2 or Eagle more popular on GitHub?
- Eagle has more GitHub stars (3,407 vs 445). Stars measure visibility, not whether either tool fits your constraints.
- Are Aquila2 and Eagle open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to Aquila2 or Eagle?
- GraphCanon lists graph-backed alternatives at Aquila2 alternatives and Eagle alternatives (Aquila2 markdown twin, Eagle 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, Aquila2 or Eagle?
- Aquila2: Dormant. Eagle: Steady. 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 Aquila2 and Eagle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Aquila2 trust report; Eagle trust report.