Comparison
LangChain.js-LLM-Template vs gorilla
Verdict
Pick LangChain.js-LLM-Template if langChain.js-LLM-Template is a JavaScript-based tool for training custom AI language models that stands out with its straightforward setup and vector store utilization; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · LangChain.js-LLM-Template alternatives · gorilla alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | LangChain.js-LLM-Template | gorilla |
|---|---|---|
| Maintenance | Archived (1231d since push) As of 3d · github_public_v1 | Slowing (117d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · 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
- LangChain.js-LLM-Template
- LangChain LLM template to train custom AI models
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- LangChain.js-LLM-Template
- 330
- gorilla
- 13k
Forks
- LangChain.js-LLM-Template
- 49
- gorilla
- 1.4k
Open issues
- LangChain.js-LLM-Template
- 2
- gorilla
- 272
Language
- LangChain.js-LLM-Template
- JavaScript
- gorilla
- Python
Adopt for
- LangChain.js-LLM-Template
- LangChain.js-LLM-Template is a JavaScript-based tool for training custom AI language models that stands out with its straightforward setup and vector store utilization.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- LangChain.js-LLM-Template
- -
- gorilla
- -
Runtime
- LangChain.js-LLM-Template
- -
- gorilla
- -
License
- LangChain.js-LLM-Template
- -
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- LangChain.js-LLM-Template
- Apr 1, 2023
- gorilla
- Apr 13, 2026
Categories
- LangChain.js-LLM-Template
- Model Training
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- LangChain.js-LLM-Template
- Archived (8%)
- gorilla
- Slowing (36%)
Days since push
- LangChain.js-LLM-Template
- 1231d
- gorilla
- 117d
Archived on GitHub
- LangChain.js-LLM-Template
- Yes
- gorilla
- No
Open issues (now)
- LangChain.js-LLM-Template
- 2
- gorilla
- 272
Stars delta
- LangChain.js-LLM-Template
- -1 (30d)
- gorilla
- Unknown
Open issues delta
- LangChain.js-LLM-Template
- -1 (30d)
- gorilla
- Unknown
Full report
- LangChain.js-LLM-Template
- Trust report
- gorilla
- Trust report
Choose LangChain.js-LLM-Template if…
- LangChain.js-LLM-Template is primarily JavaScript; gorilla is Python.
- Requirements: Requires OpenAI API access for LLM training purposes via an API key.; Setup requires running yarn or npm commands for installation and training processes..
- Tags unique to LangChain.js-LLM-Template: custom ai models, javascript, llm template.
- When you prefer using JavaScript to develop your model training pipeline.
When NOT to use LangChain.js-LLM-Template
- If you require a platform that supports multiple languages beyond JavaScript for flexibility.
- In cases where complex preprocessing of train data cannot be easily managed through markdown files.
- When dealing with very sensitive data and needing to keep API key management out-of-band, as the README suggests using environment variables.
Choose gorilla if…
- gorilla is primarily Python; LangChain.js-LLM-Template is JavaScript.
- 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 (IroncladDev/LangChain.js-LLM-Template) · observed Aug 15, 2026
- GitHub forks (IroncladDev/LangChain.js-LLM-Template) · observed Aug 15, 2026
- Last push (IroncladDev/LangChain.js-LLM-Template) · observed Apr 1, 2023
- License file (unknown) · observed Aug 15, 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: LangChain.js-LLM-Template 330 · gorilla 13k (synced Aug 15, 2026).
Common questions
- What is the difference between LangChain.js-LLM-Template and gorilla?
- LangChain.js-LLM-Template: LangChain LLM template to train custom AI models. 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 LangChain.js-LLM-Template over gorilla?
- Choose LangChain.js-LLM-Template over gorilla when LangChain.js-LLM-Template is primarily JavaScript; gorilla is Python; Requirements: Requires OpenAI API access for LLM training purposes via an API key.; Setup requires running yarn or npm commands for installation and training processes.; Tags unique to LangChain.js-LLM-Template: custom ai models, javascript, llm template; When you prefer using JavaScript to develop your model training pipeline.
- When should I choose gorilla over LangChain.js-LLM-Template?
- Choose gorilla over LangChain.js-LLM-Template when gorilla is primarily Python; LangChain.js-LLM-Template is JavaScript; 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 LangChain.js-LLM-Template?
- If you require a platform that supports multiple languages beyond JavaScript for flexibility. In cases where complex preprocessing of train data cannot be easily managed through markdown files. When dealing with very sensitive data and needing to keep API key management out-of-band, as the README suggests using environment variables.
- 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 LangChain.js-LLM-Template or gorilla more popular on GitHub?
- gorilla has more GitHub stars (12,988 vs 330). Stars measure visibility, not whether either tool fits your constraints.
- Are LangChain.js-LLM-Template and gorilla open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LangChain.js-LLM-Template or gorilla?
- GraphCanon lists graph-backed alternatives at LangChain.js-LLM-Template alternatives and gorilla alternatives (LangChain.js-LLM-Template 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, LangChain.js-LLM-Template or gorilla?
- LangChain.js-LLM-Template: Archived. 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 LangChain.js-LLM-Template and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LangChain.js-LLM-Template trust report; gorilla trust report.