--- title: "excelize vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/qax-os-excelize-vs-shubhamsaboo-awesome-llm-apps" tools: ["qax-os-excelize", "shubhamsaboo-awesome-llm-apps"] --- # excelize vs awesome-llm-apps *GraphCanon updated Aug 19, 2026* ## Verdict Pick excelize if excellize is a Go library focused on efficient, comprehensive manipulation of Excel files; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. [excelize](https://xuri.me/excelize) reports 21k GitHub stars, 1.9k forks, and 134 open issues, last pushed Aug 16, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [excelize's repository](https://github.com/qax-os/excelize) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [excelize](/tools/qax-os-excelize.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Go language library for reading and writing Excel spreadsheets | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 20,855 | 131,230 | | Forks | 1,936 | 19,346 | | Open issues | 134 | 13 | | Language | Go | Python | | Adopt for | Excellize is a Go library focused on efficient, comprehensive manipulation of Excel files | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [excelize](/tools/qax-os-excelize.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 2d | 4d | | Open issues (now) | 134 | 13 | | Stars delta | +59 (30d) | +14k (30d) | | Open issues delta | +5 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/qax-os-excelize/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: excelize - **Pricing:** freemium - Excellize is free and open-source under the BSD-3-Clause license, which allows reuse in both commercial and non-commercial applications without royalty payments. - **Requirements:** Min 1 GB RAM; Operating system requirements are aligned with what is supported by Go itself. - **Adopt for:** Excellize is a Go library focused on efficient, comprehensive manipulation of Excel files ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose excelize if… - excelize is primarily Go; awesome-llm-apps is Python. - License: excelize is BSD-3-Clause, awesome-llm-apps is Apache-2.0. - Pricing: Excellize is free and open-source under the BSD-3-Clause license, which allows reuse in both commercial and non-commercial applications without royalty payments.. - Requirements: Min 1 GB RAM; Operating system requirements are aligned with what is supported by Go itself.. - Tags unique to excelize: analytics, chart, excel, formula. - When developing applications in Go that require robust capabilities for reading and writing Excel spreadsheets including support for formulas, charts, tables, and VBA macros. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; excelize is Go. - License: awesome-llm-apps is Apache-2.0, excelize is BSD-3-Clause. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use excelize - If the development environment strictly avoids using languages like Go, since Excellize requires a Go runtime. - When working on projects where Excel files are rarely needed for data processing, another more generic file handling library might be preferable to minimize dependencies and complexity ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between excelize and awesome-llm-apps? excelize: Go language library for reading and writing Excel spreadsheets. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories. ### When should I choose excelize over awesome-llm-apps? Choose excelize over awesome-llm-apps when excelize is primarily Go; awesome-llm-apps is Python; License: excelize is BSD-3-Clause, awesome-llm-apps is Apache-2.0; Pricing: Excellize is free and open-source under the BSD-3-Clause license, which allows reuse in both commercial and non-commercial applications without royalty payments.; Requirements: Min 1 GB RAM; Operating system requirements are aligned with what is supported by Go itself.; Tags unique to excelize: analytics, chart, excel, formula; When developing applications in Go that require robust capabilities for reading and writing Excel spreadsheets including support for formulas, charts, tables, and VBA macros. ### When should I choose awesome-llm-apps over excelize? Choose awesome-llm-apps over excelize when awesome-llm-apps is primarily Python; excelize is Go; License: awesome-llm-apps is Apache-2.0, excelize is BSD-3-Clause; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid excelize? If the development environment strictly avoids using languages like Go, since Excellize requires a Go runtime. When working on projects where Excel files are rarely needed for data processing, another more generic file handling library might be preferable to minimize dependencies and complexity ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is excelize or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 20,855). Stars measure visibility, not whether either tool fits your constraints. ### Are excelize and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (excelize: BSD-3-Clause, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to excelize or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [excelize alternatives](/tools/qax-os-excelize/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([excelize markdown twin](/tools/qax-os-excelize/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/qax-os-excelize-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, excelize or awesome-llm-apps? excelize: Very active. awesome-llm-apps: Very active. 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 excelize and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [excelize trust report](/tools/qax-os-excelize/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=qax-os-excelize`](/api/graphcanon/graph?tool=qax-os-excelize) - 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/_