--- title: "deeplake vs supabase" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-deeplake-vs-supabase-supabase" tools: ["activeloopai-deeplake", "supabase-supabase"] --- # deeplake vs supabase *GraphCanon updated Aug 22, 2026* ## Verdict Pick deeplake if deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities; pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. [deeplake](https://deeplake.ai) reports 9.2k GitHub stars, 721 forks, and 63 open issues, last pushed May 21, 2026. [supabase](https://supabase.com) has 108k stars, 14k forks, and 1.0k open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [deeplake's repository](https://github.com/activeloopai/deeplake) and [supabase's repository](https://github.com/supabase/supabase). | | [deeplake](/tools/activeloopai-deeplake.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Tagline | AI Data Runtime for Agents with scalable retrieval and training features | The Postgres development platform. | | Stars | 9,224 | 108,244 | | Forks | 721 | 13,611 | | Open issues | 63 | 1,034 | | Language | C++ | TypeScript | | Adopt for | Deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities. | Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. | | Persona | - | - | | Runtime | - | - | | License | Deeplake uses the Apache-2.0 license, allowing free use in both open source and commercial projects with attribution. | Apache-2.0 | | Categories | Data & Retrieval, Model Training, Vector Databases | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deeplake](/tools/activeloopai-deeplake.md) | [supabase](/tools/supabase-supabase.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 87d | 0d | | Open issues (now) | 63 | 1.0k | | Stars delta | +16 (30d) | +1.5k (30d) | | Open issues delta | -6 (30d) | -87 (30d) | | Full report | [trust report](/tools/activeloopai-deeplake/trust.md) | [trust report](/tools/supabase-supabase/trust.md) | ## Decision facts: deeplake - **Pricing:** unknown - Pricing details are not specified for Deeplake's public repository. - **Requirements:** Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`. - **Adopt for:** Deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities. - **License detail:** Deeplake uses the Apache-2.0 license, allowing free use in both open source and commercial projects with attribution. ## 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 deeplake if… - deeplake is primarily C++; supabase is TypeScript. - Pricing: Pricing details are not specified for Deeplake's public repository.. - Requirements: Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`.. - Tags unique to deeplake: agent, agentic-rag, computer-vision, large language models. - Also covers Model Training, Vector Databases. - When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design. ### Choose supabase if… - supabase is primarily TypeScript; deeplake is C++. - 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, auth, database, embeddings. - - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience ## When NOT to use deeplake - If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features. - When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training. ## 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 deeplake and supabase? deeplake: AI Data Runtime for Agents with scalable retrieval and training features. supabase: The Postgres development platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose deeplake over supabase? Choose deeplake over supabase when deeplake is primarily C++; supabase is TypeScript; Pricing: Pricing details are not specified for Deeplake's public repository.; Requirements: Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`.; Tags unique to deeplake: agent, agentic-rag, computer-vision, large language models; Also covers Model Training, Vector Databases; When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design. ### When should I choose supabase over deeplake? Choose supabase over deeplake when supabase is primarily TypeScript; deeplake is C++; 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, auth, database, embeddings; - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience. ### When should I avoid deeplake? If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features. When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training. ### 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 deeplake or supabase more popular on GitHub? supabase has more GitHub stars (108,244 vs 9,224). Stars measure visibility, not whether either tool fits your constraints. ### Are deeplake and supabase open source? Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, supabase: Apache-2.0). ### Where can I find alternatives to deeplake or supabase? GraphCanon lists graph-backed alternatives at [deeplake alternatives](/tools/activeloopai-deeplake/alternatives) and [supabase alternatives](/tools/supabase-supabase/alternatives) ([deeplake markdown twin](/tools/activeloopai-deeplake/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/activeloopai-deeplake-vs-supabase-supabase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deeplake or supabase? deeplake: Steady. 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 deeplake and supabase? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deeplake trust report](/tools/activeloopai-deeplake/trust); [supabase trust report](/tools/supabase-supabase/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=activeloopai-deeplake`](/api/graphcanon/graph?tool=activeloopai-deeplake) - 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/_