Comparison
VLN-CE vs Eagle
Verdict
Pick VLN-CE if vLN-CE provides Python-based resources for Vision-and-Language Navigation research using Habitat. It uses the MIT license but the datasets adhere to Matterport3D terms; pick Eagle if eagle: Frontier Vision-Language Models with Data-Centric Strategies.
Markdown twin · VLN-CE alternatives · Eagle alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | VLN-CE | Eagle |
|---|---|---|
| Maintenance | Dormant (569d since push) As of 3w · github_public_v1 | Steady (54d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- VLN-CE
- Vision-and-Language Navigation in Continuous Environments using Habitat
- Eagle
- Frontier Vision-Language Models with Data-Centric Strategies
Stars
- VLN-CE
- 844
- Eagle
- 3.4k
Forks
- VLN-CE
- 90
- Eagle
- 327
Open issues
- VLN-CE
- 29
- Eagle
- 62
Language
- VLN-CE
- Python
- Eagle
- Python
Adopt for
- VLN-CE
- VLN-CE provides Python-based resources for Vision-and-Language Navigation research using Habitat. It uses the MIT license but the datasets adhere to Matterport3D terms.
- Eagle
- Eagle: Frontier Vision-Language Models with Data-Centric Strategies
Persona
- VLN-CE
- -
- Eagle
- -
Runtime
- VLN-CE
- -
- Eagle
- -
License
- VLN-CE
- MIT
- 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
- VLN-CE
- Jan 7, 2025
- Eagle
- Jun 24, 2026
Categories
- VLN-CE
- Computer Vision, Model Training
- Eagle
- Computer Vision, LLM Frameworks
Trust and health
Maintenance
- VLN-CE
- Dormant (18%)
- Eagle
- Steady (60%)
Days since push
- VLN-CE
- 569d
- Eagle
- 54d
Open issues (now)
- VLN-CE
- 29
- Eagle
- 62
Stars delta
- VLN-CE
- Unknown
- Eagle
- +199 (30d)
Open issues delta
- VLN-CE
- Unknown
- Eagle
- +3 (30d)
Owner type
- VLN-CE
- User
- Eagle
- Organization
OSV dependency advisories
- VLN-CE
- Published findings
- Eagle
- No lockfile (source not queried)
Full report
- VLN-CE
- Trust report
- Eagle
- Trust report
Choose VLN-CE if…
- License: VLN-CE is MIT, Eagle is Apache-2.0.
- Tags unique to VLN-CE: ai, computer-vision, deep-learning, python.
- Also covers Model Training.
- When aiming to advance robotics navigation by training models on vision-language tasks with habitat-sim.
When NOT to use VLN-CE
- Avoid if your project needs fully open datasets, as some VLN-CE components are restricted by Matterport3D license terms.
- Steer clear if you prefer tools with built-in support for environments other than those within the Habitat simulation framework.
Choose Eagle if…
- License: Eagle is Apache-2.0, VLN-CE is MIT.
- 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 LLM Frameworks.
- 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 (jacobkrantz/VLN-CE) · observed Jul 31, 2026
- GitHub forks (jacobkrantz/VLN-CE) · observed Jul 31, 2026
- Last push (jacobkrantz/VLN-CE) · observed Jan 7, 2025
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NVlabs/Eagle) · observed Aug 18, 2026
- GitHub forks (NVlabs/Eagle) · observed Aug 18, 2026
- Last push (NVlabs/Eagle) · observed Jun 24, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: VLN-CE 844 · Eagle 3.4k (synced Jul 31, 2026).
Common questions
- What is the difference between VLN-CE and Eagle?
- VLN-CE: Vision-and-Language Navigation in Continuous Environments using Habitat. Eagle: Frontier Vision-Language Models with Data-Centric Strategies. See the comparison table for live GitHub stats and shared categories.
- When should I choose VLN-CE over Eagle?
- Choose VLN-CE over Eagle when License: VLN-CE is MIT, Eagle is Apache-2.0; Tags unique to VLN-CE: ai, computer-vision, deep-learning, python; Also covers Model Training; When aiming to advance robotics navigation by training models on vision-language tasks with habitat-sim.
- When should I choose Eagle over VLN-CE?
- Choose Eagle over VLN-CE when License: Eagle is Apache-2.0, VLN-CE is MIT; 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 LLM Frameworks; When you need advanced vision-language models enhanced by data-centric strategies developed by NVlabs and improved using Qwen.
- When should I avoid VLN-CE?
- Avoid if your project needs fully open datasets, as some VLN-CE components are restricted by Matterport3D license terms. Steer clear if you prefer tools with built-in support for environments other than those within the Habitat simulation framework.
- 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 VLN-CE or Eagle more popular on GitHub?
- Eagle has more GitHub stars (3,407 vs 844). Stars measure visibility, not whether either tool fits your constraints.
- Are VLN-CE and Eagle open source?
- Yes - both are open-source projects on GitHub (VLN-CE: MIT, Eagle: Apache-2.0).
- Where can I find alternatives to VLN-CE or Eagle?
- GraphCanon lists graph-backed alternatives at VLN-CE alternatives and Eagle alternatives (VLN-CE 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, VLN-CE or Eagle?
- VLN-CE: 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 VLN-CE and Eagle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: VLN-CE trust report; Eagle trust report.