---
title: "unstructured vs xberg"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/unstructured-io-unstructured-vs-xberg-io-xberg"
tools: ["unstructured-io-unstructured", "xberg-io-xberg"]
---

# unstructured vs xberg

Neutral, constraint-first comparison with live GitHub stats.

| | [unstructured](/tools/unstructured-io-unstructured.md) | [xberg](/tools/xberg-io-xberg.md) |
| --- | --- | --- |
| Tagline | Convert documents to structured data effortlessly | Polyglot document intelligence framework with Rust core |
| Stars | 15,086 | 8,601 |
| Forks | 1,263 | 510 |
| Open issues | 261 | 10 |
| Language | HTML | Rust |
| Adopt for | Unstructured is an Apache-2.0 licensed open-source ETL solution for transforming complex documents into clean, structured data formats suitable for language models, enhancing productivity in processing unstructured text. | xberg is a polyglot document intelligence framework with its core written in Rust, offering broad language support and versatile deployment options. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Developer Tools | Data & Retrieval |

## Trust and health

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

| | [unstructured](/tools/unstructured-io-unstructured.md) | [xberg](/tools/xberg-io-xberg.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 261 | 10 |
| Security scan | No lockfile | 1 medium (1 medium) |
| Full report | [trust report](/tools/unstructured-io-unstructured/trust.md) | [trust report](/tools/xberg-io-xberg/trust.md) |

**Typed relationship:** unstructured _(alternative)_ xberg

Both xberg and unstructured aim to convert documents into structured data, making them alternatives.

## Shared compatibility

- **Python**: [unstructured](/tools/unstructured-io-unstructured.md) - Python runtime; [xberg](/tools/xberg-io-xberg.md) - Python runtime

## Decision facts: unstructured

- **Adopt for:** Unstructured is an Apache-2.0 licensed open-source ETL solution for transforming complex documents into clean, structured data formats suitable for language models, enhancing productivity in processing unstructured text.

## Decision facts: xberg

- **Adopt for:** xberg is a polyglot document intelligence framework with its core written in Rust, offering broad language support and versatile deployment options.

## Choose when

### Choose unstructured if…

- unstructured is primarily HTML; xberg is Rust.
- License: unstructured is Apache-2.0, xberg is MIT.
- Both xberg and unstructured aim to convert documents into structured data, making them alternatives.
- Tags unique to unstructured: ml, deep-learning, llm, machine-learning.
- Also covers Developer Tools.
- unstructured ships Docker support for self-hosted deployment.
- - When dealing with diverse document formats such as DOCX and PDF that need conversion to JSON or text for further analysis by language models.

### Choose xberg if…

- xberg is primarily Rust; unstructured is HTML.
- License: xberg is MIT, unstructured is Apache-2.0.
- Both xberg and unstructured aim to convert documents into structured data, making them alternatives.
- Tags unique to xberg: metadata-extraction, csharp, elixir, bun.
- Also covers Data & Retrieval.
- - When you require a highly performant solution for processing over 97+ formats, leveraging Rust's speed through various language bindings including Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, and祢

## When NOT to use unstructured

- - Avoid using Unstructured if you require direct SQL database integration or other enterprise-grade features, as these are typically offered under their commercial 'Platform' product tier.
- - Do not use it if your application workflow is already optimized with another ETL solution that handles document processing in a more tailored manner than what Unstructured offers.

## When NOT to use xberg

- - If you are working exclusively in languages not covered by xberg such as Scala, Kotlin (excluding its Maven package), Dart, Swift, Zig, or any environment lacking the necessary bindings.
- - When your project's performance bottleneck is not related to document processing or requires less flexible deployment options than what xberg offers.

## Common questions

### What is the difference between unstructured and xberg?

unstructured: Convert documents to structured data effortlessly. xberg: Polyglot document intelligence framework with Rust core. See the comparison table for live GitHub stats and shared categories.

### When should I choose unstructured over xberg?

Choose unstructured over xberg when unstructured is primarily HTML; xberg is Rust; License: unstructured is Apache-2.0, xberg is MIT; Both xberg and unstructured aim to convert documents into structured data, making them alternatives; Tags unique to unstructured: ml, deep-learning, llm, machine-learning; Also covers Developer Tools; unstructured ships Docker support for self-hosted deployment; - When dealing with diverse document formats such as DOCX and PDF that need conversion to JSON or text for further analysis by language models.

### When should I choose xberg over unstructured?

Choose xberg over unstructured when xberg is primarily Rust; unstructured is HTML; License: xberg is MIT, unstructured is Apache-2.0; Both xberg and unstructured aim to convert documents into structured data, making them alternatives; Tags unique to xberg: metadata-extraction, csharp, elixir, bun; Also covers Data & Retrieval; - When you require a highly performant solution for processing over 97+ formats, leveraging Rust's speed through various language bindings including Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, and祢.

### When should I avoid unstructured?

- Avoid using Unstructured if you require direct SQL database integration or other enterprise-grade features, as these are typically offered under their commercial 'Platform' product tier. - Do not use it if your application workflow is already optimized with another ETL solution that handles document processing in a more tailored manner than what Unstructured offers.

### When should I avoid xberg?

- If you are working exclusively in languages not covered by xberg such as Scala, Kotlin (excluding its Maven package), Dart, Swift, Zig, or any environment lacking the necessary bindings. - When your project's performance bottleneck is not related to document processing or requires less flexible deployment options than what xberg offers.

### Is unstructured or xberg more popular on GitHub?

unstructured has more GitHub stars (15,086 vs 8,601). Stars measure visibility, not whether either tool fits your constraints.

### Are unstructured and xberg open source?

Yes - both are open-source projects on GitHub (unstructured: Apache-2.0, xberg: MIT).

### Where can I find alternatives to unstructured or xberg?

GraphCanon lists graph-backed alternatives at /tools/unstructured-io-unstructured/alternatives and /tools/xberg-io-xberg/alternatives (/tools/unstructured-io-unstructured/alternatives.md, /tools/xberg-io-xberg/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 /compare/unstructured-io-unstructured-vs-xberg-io-xberg.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, unstructured or xberg?

unstructured: Very active. xberg: 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 unstructured and xberg?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: unstructured: /tools/unstructured-io-unstructured/trust; xberg: /tools/xberg-io-xberg/trust.

---

**Machine-readable endpoints**

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