--- title: "deep-research vs supabase" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dzhng-deep-research-vs-supabase-supabase" tools: ["dzhng-deep-research", "supabase-supabase"] --- # deep-research vs supabase *GraphCanon updated Jul 11, 2026* ## Verdict Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. [deep-research](https://github.com/dzhng/deep-research) reports 19k GitHub stars, 2.0k forks, and 90 open issues, last pushed Apr 11, 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 [deep-research's repository](https://github.com/dzhng/deep-research) and [supabase's repository](https://github.com/supabase/supabase). | | [deep-research](/tools/dzhng-deep-research.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Tagline | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | The Postgres development platform. | | Stars | 19,329 | 106,150 | | Forks | 1,972 | 13,184 | | Open issues | 90 | 1,077 | | Language | TypeScript | TypeScript | | Adopt for | Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. | Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deep-research](/tools/dzhng-deep-research.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 90d | 0d | | Open issues (now) | 90 | 1.1k | | Owner type | User | Organization | | Security scan | 39 low (39 low) | No lockfile | | Full report | [trust report](/tools/dzhng-deep-research/trust.md) | [trust report](/tools/supabase-supabase/trust.md) | ## Decision facts: deep-research - **Requirements:** Requires Docker - **Adopt for:** Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics. ## 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 deep-research if… - License: deep-research is MIT, supabase is Apache-2.0. - Requirements: Requires Docker. - Tags unique to deep-research: research, o3-mini, gpt, agent. - Also covers AI Agents. - deep-research ships Docker support for self-hosted deployment. - When you need a tool that can refine its topic focus over time through repeated iterations. ### Choose supabase if… - License: supabase is Apache-2.0, deep-research 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 deep-research - When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. - If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ## 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 deep-research and supabase? deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. supabase: The Postgres development platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose deep-research over supabase? Choose deep-research over supabase when License: deep-research is MIT, supabase is Apache-2.0; Requirements: Requires Docker; Tags unique to deep-research: research, o3-mini, gpt, agent; Also covers AI Agents; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations. ### When should I choose supabase over deep-research? Choose supabase over deep-research when License: supabase is Apache-2.0, deep-research 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 deep-research? When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys. ### 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 deep-research or supabase more popular on GitHub? supabase has more GitHub stars (106,150 vs 19,329). Stars measure visibility, not whether either tool fits your constraints. ### Are deep-research and supabase open source? Yes - both are open-source projects on GitHub (deep-research: MIT, supabase: Apache-2.0). ### Where can I find alternatives to deep-research or supabase? GraphCanon lists graph-backed alternatives at [deep-research alternatives](/tools/dzhng-deep-research/alternatives) and [supabase alternatives](/tools/supabase-supabase/alternatives) ([deep-research markdown twin](/tools/dzhng-deep-research/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/dzhng-deep-research-vs-supabase-supabase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deep-research or supabase? deep-research: Slowing. 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 deep-research and supabase? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deep-research trust report](/tools/dzhng-deep-research/trust); [supabase trust report](/tools/supabase-supabase/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dzhng-deep-research`](/api/graphcanon/graph?tool=dzhng-deep-research) - 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/_