Comparison
JOOD vs gorilla
Verdict
Pick JOOD if jOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · JOOD alternatives · gorilla alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | JOOD | gorilla |
|---|---|---|
| Maintenance | Dormant (419d since push) As of 2w · github_public_v1 | Slowing (117d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · 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
- JOOD
- Implementation for multimodal LLM jailbreaking strategy
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- JOOD
- 21
- gorilla
- 13k
Forks
- JOOD
- 4
- gorilla
- 1.4k
Open issues
- JOOD
- 2
- gorilla
- 272
Language
- JOOD
- Python
- gorilla
- Python
Adopt for
- JOOD
- JOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- JOOD
- -
- gorilla
- -
Runtime
- JOOD
- -
- gorilla
- -
License
- JOOD
- Apache-2.0
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- JOOD
- Jun 11, 2025
- gorilla
- Apr 13, 2026
Categories
- JOOD
- Computer Vision, Model Training
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- JOOD
- Dormant (18%)
- gorilla
- Slowing (36%)
Days since push
- JOOD
- 419d
- gorilla
- 117d
Open issues (now)
- JOOD
- 2
- gorilla
- 272
Owner type
- JOOD
- Organization
- gorilla
- User
OSV dependency advisories
- JOOD
- Published findings
- gorilla
- No lockfile (source not queried)
Full report
- JOOD
- Trust report
- gorilla
- Trust report
Shared compatibility
- Python · JOOD: Python runtime · gorilla: Python runtime
Choose JOOD if…
- Requirements: Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the `requirements.txt` file provided in the repository..
- Tags unique to JOOD: jailbreaking, multimodal-llms.
- Also covers Computer Vision.
- Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs.
When NOT to use JOOD
- Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints.
- JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.
Choose gorilla if…
- Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning..
- Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api.
- Also covers Evaluation & Observability.
- You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
When NOT to use gorilla
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs.
- If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (naver-ai/JOOD) · observed Aug 5, 2026
- GitHub forks (naver-ai/JOOD) · observed Aug 5, 2026
- Last push (naver-ai/JOOD) · observed Jun 11, 2025
- License file (Apache-2.0) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ShishirPatil/gorilla) · observed Aug 8, 2026
- GitHub forks (ShishirPatil/gorilla) · observed Aug 8, 2026
- Last push (ShishirPatil/gorilla) · observed Apr 13, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: JOOD 21 · gorilla 13k (synced Aug 5, 2026).
Common questions
- What is the difference between JOOD and gorilla?
- JOOD: Implementation for multimodal LLM jailbreaking strategy. gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). See the comparison table for live GitHub stats and shared categories.
- When should I choose JOOD over gorilla?
- Choose JOOD over gorilla when Requirements: Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the
requirements.txtfile provided in the repository.; Tags unique to JOOD: jailbreaking, multimodal-llms; Also covers Computer Vision; Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs. - When should I choose gorilla over JOOD?
- Choose gorilla over JOOD when Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.; Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api; Also covers Evaluation & Observability; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
- When should I avoid JOOD?
- Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints. JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.
- When should I avoid gorilla?
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs. If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
- Is JOOD or gorilla more popular on GitHub?
- gorilla has more GitHub stars (12,988 vs 21). Stars measure visibility, not whether either tool fits your constraints.
- Are JOOD and gorilla open source?
- Yes - both are open-source projects on GitHub (JOOD: Apache-2.0, gorilla: Apache-2.0).
- Where can I find alternatives to JOOD or gorilla?
- GraphCanon lists graph-backed alternatives at JOOD alternatives and gorilla alternatives (JOOD markdown twin, gorilla 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, JOOD or gorilla?
- JOOD: Dormant. gorilla: Slowing. 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 JOOD and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: JOOD trust report; gorilla trust report.