--- title: "electric vs docetl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/electric-sql-electric-vs-ucbepic-docetl" tools: ["electric-sql-electric", "ucbepic-docetl"] --- # electric vs docetl *GraphCanon updated Aug 19, 2026* ## Verdict 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; pick docetl if docetl is an agentic system that employs large language models for data processing and ETL operations, specifically suited to handle unstructured document analysis tasks. [electric](https://electric.ax) reports 10k GitHub stars, 366 forks, and 254 open issues, last pushed Aug 14, 2026. [docetl](https://docetl.org) has 4.0k stars, 421 forks, and 42 open issues, last pushed Aug 9, 2026. Figures are from public GitHub metadata via [electric's repository](https://github.com/electric-sql/electric) and [docetl's repository](https://github.com/ucbepic/docetl). | | [electric](/tools/electric-sql-electric.md) | [docetl](/tools/ucbepic-docetl.md) | | --- | --- | --- | | Tagline | An agent platform built on sync. | A system for agentic LLM-powered data processing and ETL | | Stars | 10,327 | 3,961 | | Forks | 366 | 421 | | Open issues | 254 | 42 | | Language | TypeScript | Python | | 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. | Docetl is an agentic system that employs large language models for data processing and ETL operations, specifically suited to handle unstructured document analysis tasks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [electric](/tools/electric-sql-electric.md) | [docetl](/tools/ucbepic-docetl.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 254 | 42 | | Stars delta | +53 (30d) | Unknown | | Open issues delta | -4 (30d) | Unknown | | Full report | [trust report](/tools/electric-sql-electric/trust.md) | [trust report](/tools/ucbepic-docetl/trust.md) | ## 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. ## Decision facts: docetl - **Adopt for:** Docetl is an agentic system that employs large language models for data processing and ETL operations, specifically suited to handle unstructured document analysis tasks. ## Choose when ### Choose electric if… - electric is primarily TypeScript; docetl is Python. - License: electric is Apache-2.0, docetl is MIT. - Tags unique to electric: agent, crdt, crdts, elixir. - You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ### Choose docetl if… - docetl is primarily Python; electric is TypeScript. - License: docetl is MIT, electric is Apache-2.0. - Tags unique to docetl: document-analysis, etl, llm, unstructured-data. - docetl ships Docker support for self-hosted deployment. - When you require integration with any LLM provider through API keys like OPENAI_API_KEY. ## 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 ## When NOT to use docetl - If your project strictly requires low-latency processing for real-time applications, as Docetl's agentic approach might introduce higher latency due to backend API calls. - In scenarios where the document datasets are predominantly structured or semi-structured, making traditional ETL tools more efficient. ## Common questions ### What is the difference between electric and docetl? electric: An agent platform built on sync.. docetl: A system for agentic LLM-powered data processing and ETL. See the comparison table for live GitHub stats and shared categories. ### When should I choose electric over docetl? Choose electric over docetl when electric is primarily TypeScript; docetl is Python; License: electric is Apache-2.0, docetl is MIT; Tags unique to electric: agent, crdt, crdts, elixir; You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ### When should I choose docetl over electric? Choose docetl over electric when docetl is primarily Python; electric is TypeScript; License: docetl is MIT, electric is Apache-2.0; Tags unique to docetl: document-analysis, etl, llm, unstructured-data; docetl ships Docker support for self-hosted deployment; When you require integration with any LLM provider through API keys like OPENAI_API_KEY. ### 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 ### When should I avoid docetl? If your project strictly requires low-latency processing for real-time applications, as Docetl's agentic approach might introduce higher latency due to backend API calls. In scenarios where the document datasets are predominantly structured or semi-structured, making traditional ETL tools more efficient. ### Is electric or docetl more popular on GitHub? electric has more GitHub stars (10,327 vs 3,961). Stars measure visibility, not whether either tool fits your constraints. ### Are electric and docetl open source? Yes - both are open-source projects on GitHub (electric: Apache-2.0, docetl: MIT). ### Where can I find alternatives to electric or docetl? GraphCanon lists graph-backed alternatives at [electric alternatives](/tools/electric-sql-electric/alternatives) and [docetl alternatives](/tools/ucbepic-docetl/alternatives) ([electric markdown twin](/tools/electric-sql-electric/alternatives.md), [docetl markdown twin](/tools/ucbepic-docetl/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/electric-sql-electric-vs-ucbepic-docetl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, electric or docetl? electric: Very active. docetl: 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 electric and docetl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [electric trust report](/tools/electric-sql-electric/trust); [docetl trust report](/tools/ucbepic-docetl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=electric-sql-electric`](/api/graphcanon/graph?tool=electric-sql-electric) - 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/_