Comparison
llm-engineer-toolkit vs gorilla
Verdict
Pick llm-engineer-toolkit if a curated list of over 120 Large Language Model (LLM) libraries organized into categories essential for development and application creation, aimed at engineers working with generative AI technologies; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · llm-engineer-toolkit alternatives · gorilla alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | llm-engineer-toolkit | gorilla |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Slowing (117d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal 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
- llm-engineer-toolkit
- A curated list of over 120 LLM libraries categorized.
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- llm-engineer-toolkit
- 11k
- gorilla
- 13k
Forks
- llm-engineer-toolkit
- 1.7k
- gorilla
- 1.4k
Open issues
- llm-engineer-toolkit
- 15
- gorilla
- 272
Language
- llm-engineer-toolkit
- -
- gorilla
- Python
Adopt for
- llm-engineer-toolkit
- A curated list of over 120 Large Language Model (LLM) libraries organized into categories essential for development and application creation, aimed at engineers working with generative AI technologies.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- llm-engineer-toolkit
- -
- gorilla
- -
Runtime
- llm-engineer-toolkit
- -
- gorilla
- -
License
- llm-engineer-toolkit
- Apache-2.0 License allows for free usage, modification, and distribution but requires appropriate attribution.
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- llm-engineer-toolkit
- Aug 16, 2026
- gorilla
- Apr 13, 2026
Categories
- llm-engineer-toolkit
- Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- llm-engineer-toolkit
- Very active (96%)
- gorilla
- Slowing (36%)
Days since push
- llm-engineer-toolkit
- 0d
- gorilla
- 117d
Open issues (now)
- llm-engineer-toolkit
- 15
- gorilla
- 272
Stars delta
- llm-engineer-toolkit
- +106 (30d)
- gorilla
- Unknown
Open issues delta
- llm-engineer-toolkit
- -5 (30d)
- gorilla
- Unknown
Full report
- llm-engineer-toolkit
- Trust report
- gorilla
- Trust report
Choose llm-engineer-toolkit if…
- Requirements: - No specific programming language requirement noted in the repository content.; - Access to various LLM libraries listed within the repository..
- Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, large language models, llm-engineer.
- Also covers Developer Tools, Inference & Serving.
- - You need a wide range of categorized LLM libraries to explore various aspects of LLM engineering, including training, inference, application development, evaluation, and observability.
When NOT to use llm-engineer-toolkit
- - If you require real-time updates or active community support, this curated list might not provide real-time interactions compared to a more dynamic platform with an active developer community.
- - You prefer specific use-case tutorials rather than a comprehensive, categorized library guide; other platforms may offer more detailed implementation guides and step-by-step instructions.
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.
- 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 (KalyanKS-NLP/llm-engineer-toolkit) · observed Aug 17, 2026
- GitHub forks (KalyanKS-NLP/llm-engineer-toolkit) · observed Aug 17, 2026
- Last push (KalyanKS-NLP/llm-engineer-toolkit) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 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: llm-engineer-toolkit 11k · gorilla 13k (synced Aug 17, 2026).
Common questions
- What is the difference between llm-engineer-toolkit and gorilla?
- llm-engineer-toolkit: A curated list of over 120 LLM libraries categorized.. 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 llm-engineer-toolkit over gorilla?
- Choose llm-engineer-toolkit over gorilla when Requirements: - No specific programming language requirement noted in the repository content.; - Access to various LLM libraries listed within the repository.; Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, large language models, llm-engineer; Also covers Developer Tools, Inference & Serving; - You need a wide range of categorized LLM libraries to explore various aspects of LLM engineering, including training, inference, application development, evaluation, and observability.
- When should I choose gorilla over llm-engineer-toolkit?
- Choose gorilla over llm-engineer-toolkit 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; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
- When should I avoid llm-engineer-toolkit?
- - If you require real-time updates or active community support, this curated list might not provide real-time interactions compared to a more dynamic platform with an active developer community. - You prefer specific use-case tutorials rather than a comprehensive, categorized library guide; other platforms may offer more detailed implementation guides and step-by-step instructions.
- 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 llm-engineer-toolkit or gorilla more popular on GitHub?
- gorilla has more GitHub stars (12,988 vs 10,767). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-engineer-toolkit and gorilla open source?
- Yes - both are open-source projects on GitHub (llm-engineer-toolkit: Apache-2.0, gorilla: Apache-2.0).
- Where can I find alternatives to llm-engineer-toolkit or gorilla?
- GraphCanon lists graph-backed alternatives at llm-engineer-toolkit alternatives and gorilla alternatives (llm-engineer-toolkit 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, llm-engineer-toolkit or gorilla?
- llm-engineer-toolkit: Very active. 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 llm-engineer-toolkit and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-engineer-toolkit trust report; gorilla trust report.