--- title: "deeplake vs electric" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-deeplake-vs-electric-sql-electric" tools: ["activeloopai-deeplake", "electric-sql-electric"] --- # deeplake vs electric *GraphCanon updated Sep 30, 2026* ## Verdict Pick deeplake if deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training; pick electric if electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types. [deeplake](https://deeplake.ai) reports 9.2k GitHub stars, 722 forks, and 67 open issues, last pushed May 21, 2026. [electric](https://electric.ax) has 10k stars, 366 forks, and 254 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [deeplake's repository](https://github.com/activeloopai/deeplake) and [electric's repository](https://github.com/electric-sql/electric). | | [deeplake](/tools/activeloopai-deeplake.md) | [electric](/tools/electric-sql-electric.md) | | --- | --- | --- | | Tagline | AI Data Runtime for Agents | An agent platform built on sync. | | Stars | 9,239 | 10,327 | | Forks | 722 | 366 | | Open issues | 67 | 254 | | Language | C++ | TypeScript | | Adopt for | Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training. | Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types. | | Persona | - | - | | Runtime | - | - | | License | Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution. | Apache-2.0 | | Categories | Data & Retrieval, Model Training, Vector Databases | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deeplake](/tools/activeloopai-deeplake.md) | [electric](/tools/electric-sql-electric.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 119d | 5d | | Open issues (now) | 67 | 254 | | Stars delta | +15 (30d) | +53 (30d) | | Open issues delta | +4 (30d) | -4 (30d) | | Full report | [trust report](/tools/activeloopai-deeplake/trust.md) | [trust report](/tools/electric-sql-electric/trust.md) | ## Decision facts: deeplake - **Pricing:** freemium - Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository. - **Requirements:** Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments. - **Adopt for:** Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training. - **License detail:** Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution. ## Decision facts: electric - **Adopt for:** Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types. ## Choose when ### Choose deeplake if… - deeplake is primarily C++; electric is TypeScript. - Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.. - Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.. - Tags unique to deeplake: agentic-rag, ai, clawbot, computer-vision. - Also covers Model Training, Vector Databases. - When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training. ### Choose electric if… - electric is primarily TypeScript; deeplake is C++. - Tags unique to electric: agents, crdt, crdts, data. - Also covers AI Agents. - You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ## When NOT to use deeplake - If your project does not require serverless PostgreSQL or multimodal data handling capabilities. - When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++. - If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup. ## When NOT to use electric - If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. - For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an ## Common questions ### What is the difference between deeplake and electric? deeplake: AI Data Runtime for Agents. electric: An agent platform built on sync.. See the comparison table for live GitHub stats and shared categories. ### When should I choose deeplake over electric? Choose deeplake over electric when deeplake is primarily C++; electric is TypeScript; Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.; Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.; Tags unique to deeplake: agentic-rag, ai, clawbot, computer-vision; Also covers Model Training, Vector Databases; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training. ### When should I choose electric over deeplake? Choose electric over deeplake when electric is primarily TypeScript; deeplake is C++; Tags unique to electric: agents, crdt, crdts, data; Also covers AI Agents; You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ### When should I avoid deeplake? If your project does not require serverless PostgreSQL or multimodal data handling capabilities. When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++. If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup. ### When should I avoid electric? If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an ### Is deeplake or electric more popular on GitHub? electric has more GitHub stars (10,327 vs 9,239). Stars measure visibility, not whether either tool fits your constraints. ### Are deeplake and electric open source? Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, electric: Apache-2.0). ### Where can I find alternatives to deeplake or electric? GraphCanon lists graph-backed alternatives at [deeplake alternatives](/tools/activeloopai-deeplake/alternatives) and [electric alternatives](/tools/electric-sql-electric/alternatives) ([deeplake markdown twin](/tools/activeloopai-deeplake/alternatives.md), [electric markdown twin](/tools/electric-sql-electric/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-electric-sql-electric.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deeplake or electric? deeplake: Slowing. electric: 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 electric? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deeplake trust report](/tools/activeloopai-deeplake/trust); [electric trust report](/tools/electric-sql-electric/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/_