---
title: "omnigraph vs docetl"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/modernrelay-omnigraph-vs-ucbepic-docetl"
tools: ["modernrelay-omnigraph", "ucbepic-docetl"]
---

# omnigraph vs docetl

*GraphCanon updated Aug 10, 2026*

## Verdict

Pick omnigraph if omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion; 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.

[omnigraph](https://omnigraph.dev) reports 1.0k GitHub stars, 190 forks, and 17 open issues, last pushed Aug 2, 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 [omnigraph's repository](https://github.com/ModernRelay/omnigraph) and [docetl's repository](https://github.com/ucbepic/docetl).

| | [omnigraph](/tools/modernrelay-omnigraph.md) | [docetl](/tools/ucbepic-docetl.md) |
| --- | --- | --- |
| Tagline | Lakehouse native graph engine with git-style workflows | A system for agentic LLM-powered data processing and ETL |
| Stars | 1,040 | 3,961 |
| Forks | 190 | 421 |
| Open issues | 17 | 42 |
| Language | Rust | Python |
| Adopt for | Omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion. | 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 | MIT | MIT |
| Categories | Data & Retrieval | AI Agents, Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [omnigraph](/tools/modernrelay-omnigraph.md) | [docetl](/tools/ucbepic-docetl.md) |
| --- | --- | --- |
| Open issues (now) | 17 | 42 |
| Full report | [trust report](/tools/modernrelay-omnigraph/trust.md) | [trust report](/tools/ucbepic-docetl/trust.md) |

## Decision facts: omnigraph

- **Adopt for:** Omnigraph is a Rust-based Lakehouse-native graph engine that integrates Git-style workflows for managing knowledge graphs leveraging modern data technologies such as Apache Arrow and DataFusion.

## 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 omnigraph if…

- omnigraph is primarily Rust; docetl is Python.
- Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database.
- Use Omnigraph if your project involves complex knowledge graph management within a lakehouse architecture, as it offers native integration to facilitate efficient handling of large datasets.

### Choose docetl if…

- docetl is primarily Python; omnigraph is Rust.
- Tags unique to docetl: agents, data, document-analysis, etl.
- Also covers AI Agents.
- When you require integration with any LLM provider through API keys like OPENAI_API_KEY.

## When NOT to use omnigraph

- Avoid Omnigraph if you prefer or need a Java-based solution, as it might not align with the runtime requirements of your existing technology stack.
- Omnigraph may not be suitable for simple or small-scale graph projects that do not require advanced versioning and collaboration features akin to Git workflows.

## 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 omnigraph and docetl?

omnigraph: Lakehouse native graph engine with git-style workflows. 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 omnigraph over docetl?

Choose omnigraph over docetl when omnigraph is primarily Rust; docetl is Python; Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database; Use Omnigraph if your project involves complex knowledge graph management within a lakehouse architecture, as it offers native integration to facilitate efficient handling of large datasets.

### When should I choose docetl over omnigraph?

Choose docetl over omnigraph when docetl is primarily Python; omnigraph is Rust; Tags unique to docetl: agents, data, document-analysis, etl; Also covers AI Agents; When you require integration with any LLM provider through API keys like OPENAI_API_KEY.

### When should I avoid omnigraph?

Avoid Omnigraph if you prefer or need a Java-based solution, as it might not align with the runtime requirements of your existing technology stack. Omnigraph may not be suitable for simple or small-scale graph projects that do not require advanced versioning and collaboration features akin to Git workflows.

### 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 omnigraph or docetl more popular on GitHub?

docetl has more GitHub stars (3,961 vs 1,040). Stars measure visibility, not whether either tool fits your constraints.

### Are omnigraph and docetl open source?

Yes - both are open-source projects on GitHub (omnigraph: MIT, docetl: MIT).

### Where can I find alternatives to omnigraph or docetl?

GraphCanon lists graph-backed alternatives at [omnigraph alternatives](/tools/modernrelay-omnigraph/alternatives) and [docetl alternatives](/tools/ucbepic-docetl/alternatives) ([omnigraph markdown twin](/tools/modernrelay-omnigraph/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/modernrelay-omnigraph-vs-ucbepic-docetl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, omnigraph or docetl?

omnigraph: 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 omnigraph and docetl?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [omnigraph trust report](/tools/modernrelay-omnigraph/trust); [docetl trust report](/tools/ucbepic-docetl/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=modernrelay-omnigraph`](/api/graphcanon/graph?tool=modernrelay-omnigraph)
- 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/_
