---
title: "gorilla alternatives"
type: "alternatives"
slug: "shishirpatil-gorilla"
canonical_url: "https://www.graphcanon.com/tools/shishirpatil-gorilla/alternatives"
of: "shishirpatil-gorilla"
count: 24
---

# gorilla alternatives

*GraphCanon updated Jul 11, 2026*

Open-source alternatives to [gorilla](/tools/shishirpatil-gorilla.md) in Model Training, Evaluation & Observability.

## In short

Top alternatives to gorilla are FastChat and llm-course, ranked by typed graph edges - model-training.

[gorilla](https://gorilla.cs.berkeley.edu/) has 13k GitHub stars and 264 open issues, last pushed Apr 13, 2026 per [its repository](https://github.com/ShishirPatil/gorilla). The top typed alternative, [FastChat](https://github.com/lm-sys/FastChat), shows 39k stars and 4.8k forks, last pushed May 1, 2026.

## Same categories

- [FastChat](/tools/lm-sys-fastchat.md) - An open platform for training, serving, and evaluating large language models (★ 39,490) [Steady]
- [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,839) [Slowing]
- [mlflow](/tools/mlflow-mlflow.md) - AI engineering platform for debugging, evaluating, monitoring, and optimizing AI applications (★ 26,974) [Very active]
- [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) - 12 Weeks, 24 Lessons, AI for All! (★ 52,098) [Very active]
- [bark](/tools/suno-ai-bark.md) - 🔊 Text-Prompted Generative Audio Model (★ 39,191) [Dormant]
- [ColossalAI](/tools/hpcaitech-colossalai.md) - Making large AI models cheaper, faster and more accessible (★ 41,408) [Steady]
- [DeepSeek-R1](/tools/deepseek-ai-deepseek-r1.md) - Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses. (★ 91,991) [Dormant] _[Freemium]_
- [DeepSpeed](/tools/deepspeedai-deepspeed.md) - Deep learning optimization library for efficient distributed training and inference (★ 42,685) [Very active]
- [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) - 21 Lessons, Get Started Building with Generative AI (★ 112,866) [Very active]
- [gitleaks](/tools/gitleaks-gitleaks.md) - Find secrets with Gitleaks 🔑 (★ 28,084) [Very active]
- [GPT-SoVITS](/tools/rvc-boss-gpt-sovits.md) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning) (★ 59,643) [Very active]
- [Hands-On-Large-Language-Models](/tools/handsonllm-hands-on-large-language-models.md) - Official code repo for the O'Reilly Book - 'Hands-On Large Language Models' (★ 27,463) [Steady] _[Freemium]_
- [headroom](/tools/headroomlabs-ai-headroom.md) - Compress tool outputs and data to reduce tokens before reaching the LLM. (★ 58,486) [Very active]
- [heretic](/tools/p-e-w-heretic.md) - Fully automatic censorship removal for language models (★ 26,003) [Very active]
- [jax](/tools/jax-ml-jax.md) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more (★ 35,999) [Very active]
- [JeecgBoot](/tools/jeecgboot-jeecgboot.md) - AI低代码平台，实现快速生成前后端系统及模块 (★ 47,011) [Very active]
- [keras](/tools/keras-team-keras.md) - Deep Learning for humans (★ 64,191) [Very active]
- [khoj](/tools/khoj-ai-khoj.md) - Your AI second brain. Self-hostable. (★ 35,636) [Active] _[Self-host, Freemium]_
- [langextract](/tools/google-langextract.md) - A Python library for extracting structured information from unstructured text using LLMs. (★ 37,129) [Active]
- [langfuse](/tools/langfuse-langfuse.md) - Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets (★ 30,927) [Very active] _[Freemium]_
- [lerobot](/tools/huggingface-lerobot.md) - Making AI for Robotics more accessible with end-to-end learning (★ 25,714) [Very active]
- [LlamaFactory](/tools/hiyouga-llamafactory.md) - Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (★ 73,157) [Very active]
- [llmfit](/tools/alexsjones-llmfit.md) - Hundreds of models & providers. One command to find what runs on your hardware. (★ 29,280) [Very active]
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,899) [Steady]

## Head-to-head comparisons

- [gorilla vs FastChat](/compare/lm-sys-fastchat-vs-shishirpatil-gorilla.md)
- [gorilla vs llm-course](/compare/mlabonne-llm-course-vs-shishirpatil-gorilla.md)
- [gorilla vs mlflow](/compare/mlflow-mlflow-vs-shishirpatil-gorilla.md)
- [gorilla vs AI-For-Beginners](/compare/microsoft-ai-for-beginners-vs-shishirpatil-gorilla.md)
- [gorilla vs bark](/compare/shishirpatil-gorilla-vs-suno-ai-bark.md)
- [gorilla vs ColossalAI](/compare/hpcaitech-colossalai-vs-shishirpatil-gorilla.md)
- [gorilla vs DeepSeek-R1](/compare/deepseek-ai-deepseek-r1-vs-shishirpatil-gorilla.md)
- [gorilla vs DeepSpeed](/compare/deepspeedai-deepspeed-vs-shishirpatil-gorilla.md)

## 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.

## Related alternatives hubs

- [LangChain alternatives](/tools/langchain-ai-langchain/alternatives.md)
- [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives.md)
- [Qdrant alternatives](/tools/qdrant-qdrant/alternatives.md)

## Common questions

### What are the best alternatives to gorilla?

Graph-backed alternatives to gorilla include FastChat, llm-course, mlflow, AI-For-Beginners, bark. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort.

### How does GraphCanon rank gorilla alternatives?

Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort.

### 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 gorilla open source?

Yes. gorilla is an open-source project on GitHub under the Apache-2.0 license, with 12,940 stars.

### What is gorilla used for?

A toolset for training and evaluating large language models with functions calls or tool usages.

### What category is gorilla in?

gorilla is categorized under Model Training, Evaluation & Observability in the GraphCanon knowledge graph.

### How do gorilla alternatives compare head-to-head?

Each alternative has a neutral compare page against gorilla, for example [FastChat vs gorilla](/compare/lm-sys-fastchat-vs-shishirpatil-gorilla), [llm-course vs gorilla](/compare/mlabonne-llm-course-vs-shishirpatil-gorilla), [mlflow vs gorilla](/compare/mlflow-mlflow-vs-shishirpatil-gorilla). Stats come from live GitHub metadata.

### Is there a machine-readable alternatives list?

Yes. The markdown twin at [gorilla alternatives](/tools/shishirpatil-gorilla/alternatives.md) lists direct alternatives and same-category tools with internal links to each tool markdown page.

### Where are other high-intent alternatives hubs?

Related P0 OSS-vs-OSS hubs: [LangChain alternatives](/tools/langchain-ai-langchain/alternatives), [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives), [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). Vector-database intent (including Pinecone-style queries) is covered at [Qdrant alternatives](/tools/qdrant-qdrant/alternatives).

### Where can I see maintenance and security signals for gorilla?

GraphCanon publishes a sourced trust report for gorilla at [gorilla trust report](/tools/shishirpatil-gorilla/trust) - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=shishirpatil-gorilla`](/api/graphcanon/graph?tool=shishirpatil-gorilla)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
