--- title: "DocsGPT vs supabase" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arc53-docsgpt-vs-supabase-supabase" tools: ["arc53-docsgpt", "supabase-supabase"] --- # DocsGPT vs supabase *GraphCanon updated Jul 11, 2026* ## Verdict Pick DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities; pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. [DocsGPT](https://app.docsgpt.cloud/) reports 18k GitHub stars, 2.1k forks, and 87 open issues, last pushed Jul 10, 2026. [supabase](https://supabase.com) has 106k stars, 13k forks, and 1.1k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [DocsGPT's repository](https://github.com/arc53/DocsGPT) and [supabase's repository](https://github.com/supabase/supabase). | | [DocsGPT](/tools/arc53-docsgpt.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Tagline | Private AI platform for agents, assistants and enterprise search. | The Postgres development platform. | | Stars | 17,978 | 106,150 | | Forks | 2,072 | 13,184 | | Open issues | 87 | 1,077 | | Language | Python | TypeScript | | Adopt for | DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. | Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. | | Persona | - | - | | Runtime | - | - | | License | MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DocsGPT](/tools/arc53-docsgpt.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Open issues (now) | 87 | 1.1k | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/arc53-docsgpt/trust.md) | [trust report](/tools/supabase-supabase/trust.md) | ## Decision facts: DocsGPT - **Requirements:** DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based. - **Adopt for:** DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities. - **License detail:** MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code. ## Decision facts: supabase - **Pricing:** freemium - Offers free plans with paid tiers for additional capacity and enterprise features. - **Requirements:** Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel - **Adopt for:** Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. ## Choose when ### Choose DocsGPT if… - DocsGPT is primarily Python; supabase is TypeScript. - License: DocsGPT is MIT, supabase is Apache-2.0. - Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.. - Tags unique to DocsGPT: docsgpt, agent-builder, agents, llm. - Also covers AI Agents. - When you need to build custom AI agents with built-in agent builder capability ### Choose supabase if… - supabase is primarily TypeScript; DocsGPT is Python. - License: supabase is Apache-2.0, DocsGPT is MIT. - Pricing: Offers free plans with paid tiers for additional capacity and enterprise features.. - Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel. - Tags unique to supabase: alternative, firebase, embeddings, auth. - - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience ## When NOT to use DocsGPT - If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT - When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI - For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ## When NOT to use supabase - - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features - - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely ## Common questions ### What is the difference between DocsGPT and supabase? DocsGPT: Private AI platform for agents, assistants and enterprise search.. supabase: The Postgres development platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose DocsGPT over supabase? Choose DocsGPT over supabase when DocsGPT is primarily Python; supabase is TypeScript; License: DocsGPT is MIT, supabase is Apache-2.0; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: docsgpt, agent-builder, agents, llm; Also covers AI Agents; When you need to build custom AI agents with built-in agent builder capability. ### When should I choose supabase over DocsGPT? Choose supabase over DocsGPT when supabase is primarily TypeScript; DocsGPT is Python; License: supabase is Apache-2.0, DocsGPT is MIT; Pricing: Offers free plans with paid tiers for additional capacity and enterprise features.; Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel; Tags unique to supabase: alternative, firebase, embeddings, auth; - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience. ### When should I avoid DocsGPT? If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities ### When should I avoid supabase? - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely ### Is DocsGPT or supabase more popular on GitHub? supabase has more GitHub stars (106,150 vs 17,978). Stars measure visibility, not whether either tool fits your constraints. ### Are DocsGPT and supabase open source? Yes - both are open-source projects on GitHub (DocsGPT: MIT, supabase: Apache-2.0). ### Where can I find alternatives to DocsGPT or supabase? GraphCanon lists graph-backed alternatives at [DocsGPT alternatives](/tools/arc53-docsgpt/alternatives) and [supabase alternatives](/tools/supabase-supabase/alternatives) ([DocsGPT markdown twin](/tools/arc53-docsgpt/alternatives.md), [supabase markdown twin](/tools/supabase-supabase/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/arc53-docsgpt-vs-supabase-supabase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DocsGPT or supabase? DocsGPT: Very active. supabase: 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 DocsGPT and supabase? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DocsGPT trust report](/tools/arc53-docsgpt/trust); [supabase trust report](/tools/supabase-supabase/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arc53-docsgpt`](/api/graphcanon/graph?tool=arc53-docsgpt) - 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/_