Comparison
AutoRAG vs gorilla
Verdict
Pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · AutoRAG alternatives · gorilla alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | AutoRAG | gorilla |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Slowing (117d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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
- AutoRAG
- Open-source framework for RAG evaluation and optimization via AutoML
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- AutoRAG
- 5.0k
- gorilla
- 13k
Forks
- AutoRAG
- 419
- gorilla
- 1.4k
Open issues
- AutoRAG
- 123
- gorilla
- 272
Language
- AutoRAG
- TypeScript
- gorilla
- Python
Adopt for
- AutoRAG
- AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- AutoRAG
- -
- gorilla
- -
Runtime
- AutoRAG
- -
- gorilla
- -
License
- AutoRAG
- Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices.
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- AutoRAG
- Aug 5, 2026
- gorilla
- Apr 13, 2026
Categories
- AutoRAG
- Evaluation & Observability, Model Training
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- AutoRAG
- Very active (96%)
- gorilla
- Slowing (36%)
Days since push
- AutoRAG
- 2d
- gorilla
- 117d
Open issues (now)
- AutoRAG
- 123
- gorilla
- 272
Owner type
- AutoRAG
- Organization
- gorilla
- User
Full report
- AutoRAG
- Trust report
- gorilla
- Trust report
Choose AutoRAG if…
- AutoRAG is primarily TypeScript; gorilla is Python.
- Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser.
- Automated benchmarking is needed for retrieval-augmented generation tasks
When NOT to use AutoRAG
- Requirements exceed capabilities of open-source tools
- No need for RAG-specific optimization and evaluation features
Choose gorilla if…
- gorilla is primarily Python; AutoRAG is TypeScript.
- 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 (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- GitHub forks (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- Last push (Marker-Inc-Korea/AutoRAG) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 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: AutoRAG 5.0k · gorilla 13k (synced Aug 8, 2026).
Common questions
- What is the difference between AutoRAG and gorilla?
- AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. 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 AutoRAG over gorilla?
- Choose AutoRAG over gorilla when AutoRAG is primarily TypeScript; gorilla is Python; Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Automated benchmarking is needed for retrieval-augmented generation tasks.
- When should I choose gorilla over AutoRAG?
- Choose gorilla over AutoRAG when gorilla is primarily Python; AutoRAG is TypeScript; 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 AutoRAG?
- Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features
- 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 AutoRAG or gorilla more popular on GitHub?
- gorilla has more GitHub stars (12,988 vs 4,968). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoRAG and gorilla open source?
- Yes - both are open-source projects on GitHub (AutoRAG: Apache-2.0, gorilla: Apache-2.0).
- Where can I find alternatives to AutoRAG or gorilla?
- GraphCanon lists graph-backed alternatives at AutoRAG alternatives and gorilla alternatives (AutoRAG 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, AutoRAG or gorilla?
- AutoRAG: 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 AutoRAG and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoRAG trust report; gorilla trust report.