--- title: "AlignLLMHumanSurvey vs gorilla" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-shishirpatil-gorilla" tools: ["garyyufei-alignllmhumansurvey", "shishirpatil-gorilla"] --- # AlignLLMHumanSurvey vs gorilla *GraphCanon updated Aug 8, 2026* ## Verdict Pick AlignLLMHumanSurvey if alignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. [AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [gorilla](https://gorilla.cs.berkeley.edu/) has 13k stars, 1.4k forks, and 272 open issues, last pushed Apr 13, 2026. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [gorilla's repository](https://github.com/ShishirPatil/gorilla). | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [gorilla](/tools/shishirpatil-gorilla.md) | | --- | --- | --- | | Tagline | A survey on aligning large language models with human expectations | Training and Evaluating LLMs for Function Calls (Tool Calls) | | Stars | 742 | 12,988 | | Forks | 30 | 1,397 | | Open issues | 0 | 272 | | Language | - | Python | | Adopt for | AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 | Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. | | Persona | - | - | | Runtime | - | - | | License | - | Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes. | | Categories | Evaluation & Observability, Model Training | Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [gorilla](/tools/shishirpatil-gorilla.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1060d | 117d | | Open issues (now) | 0 | 272 | | Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/shishirpatil-gorilla/trust.md) | ## Decision facts: AlignLLMHumanSurvey - **Adopt for:** AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 ## Decision facts: gorilla - **Pricing:** freemium - **Requirements:** Gorilla works best with Python environments and requires installation through pip or local repository cloning. - **Adopt for:** Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. - **License detail:** Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes. ## Choose when ### Choose AlignLLMHumanSurvey if… - Tags unique to AlignLLMHumanSurvey: awesome, chinese-llama, gpt-4, large language models. - 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。 - Leaner open-issue backlog (0). ### Choose gorilla if… - Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.. - Tags unique to gorilla: api, claude-api, gpt-4-api, llm. - You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively. ## When NOT to use AlignLLMHumanSurvey - ，AlignLLMHumanSurvey，，。 ## 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. ## Common questions ### What is the difference between AlignLLMHumanSurvey and gorilla? AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. 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 AlignLLMHumanSurvey over gorilla? Choose AlignLLMHumanSurvey over gorilla when Tags unique to AlignLLMHumanSurvey: awesome, chinese-llama, gpt-4, large language models; 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。; Leaner open-issue backlog (0). ### When should I choose gorilla over AlignLLMHumanSurvey? Choose gorilla over AlignLLMHumanSurvey when Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.; Tags unique to gorilla: api, claude-api, gpt-4-api, llm; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively. ### When should I avoid AlignLLMHumanSurvey? ，AlignLLMHumanSurvey，，。 ### 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 AlignLLMHumanSurvey or gorilla more popular on GitHub? gorilla has more GitHub stars (12,988 vs 742). Stars measure visibility, not whether either tool fits your constraints. ### Are AlignLLMHumanSurvey and gorilla open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AlignLLMHumanSurvey or gorilla? GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [gorilla alternatives](/tools/shishirpatil-gorilla/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [gorilla markdown twin](/tools/shishirpatil-gorilla/alternatives.md)), 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](/compare/garyyufei-alignllmhumansurvey-vs-shishirpatil-gorilla.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AlignLLMHumanSurvey or gorilla? AlignLLMHumanSurvey: 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 AlignLLMHumanSurvey and gorilla? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [gorilla trust report](/tools/shishirpatil-gorilla/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey`](/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey) - 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/_