Home/Compare/hamilton vs unstructured

Comparison

hamilton vs unstructured

Verdict

Pick hamilton if apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support; pick unstructured if unstructured is an open-source ETL solution for transforming complex documents into clean, structured formats for language models, supporting workflows like partitioning, enrichments, chunking, and embedding.

Markdown twin · hamilton alternatives · unstructured alternatives

GraphCanon updated Sep 29, 2026

6views this month

hamilton logo

hamilton

apache/hamilton

★ 2.6kpushed Sep 29, 2026
vs
unstructured logo

unstructured

Unstructured-IO/unstructured

★ 15kpushed Sep 15, 2026

Trust & integrity

Signalhamiltonunstructured
Maintenance
Very active (0d since push)
As of Sep 29, 2026 · github_public_v1
Very active (3d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 29, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

hamilton
Modular dataflow definition for Python environments
unstructured
Convert documents to structured data effortlessly

Stars

hamilton
2.6k
unstructured
15k

Forks

hamilton
215
unstructured
1.3k

Open issues

hamilton
153
unstructured
309

Language

hamilton
Jupyter Notebook
unstructured
HTML

Adopt for

hamilton
Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support.
unstructured
Unstructured is an open-source ETL solution for transforming complex documents into clean, structured formats for language models, supporting workflows like partitioning, enrichments, chunking, and embedding.

Persona

hamilton
-
unstructured
-

Runtime

hamilton
-
unstructured
-

License

hamilton
Apache-2.0
unstructured
Apache-2.0

Last pushed

hamilton
Sep 29, 2026
unstructured
Sep 15, 2026

Categories

hamilton
Data & Retrieval, Developer Tools
unstructured
Data & Retrieval, Developer Tools, Model Training

Trust and health

Days since push

hamilton
0d
unstructured
3d

Open issues (now)

hamilton
153
unstructured
309

Stars delta

hamilton
+44 (30d)
unstructured
+208 (30d)

Open issues delta

hamilton
+5 (30d)
unstructured
+32 (30d)

Full report

hamilton
Trust report
unstructured
Trust report

Shared compatibility

  • Python · hamilton: Python runtime · unstructured: Python runtime

Choose hamilton if…

  • hamilton is primarily Jupyter Notebook; unstructured is HTML.
  • Tags unique to hamilton: dag, data-analysis, data-engineering, data-science.
  • Requires detailed lineage and tracing in Python-based ETL processes

When NOT to use hamilton

  • Working exclusively within a non-Python environment where broader platform support is needed
  • Projects that do not require extensive metadata capture or lineage tracking capabilities

Choose unstructured if…

  • unstructured is primarily HTML; hamilton is Jupyter Notebook.
  • Tags unique to unstructured: data-pipelines, deep-learning, document-image-analysis, document-image-processing.
  • Also covers Model Training.
  • unstructured ships Docker support for self-hosted deployment.
  • When you need to convert a variety of document types, including PDFs and images, into structured data formats suitable for language models.

When NOT to use unstructured

  • If you are working with simple text files that do not require complex parsing or enrichment processes.
  • When you need a tool that supports real-time document processing, as Unstructured is optimized for batch processing and may not be suitable for real-time applications.
  • If you are looking for a solution that does not require setting up a Docker environment or managing dependencies with uv.
  • When you need a tool that supports a wider range of document types beyond PDFs and images, as Unstructured may not cover all your document format needs.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hamilton 2.6k · unstructured 15k (synced Sep 29, 2026).

Common questions

What is the difference between hamilton and unstructured?
hamilton: Modular dataflow definition for Python environments. unstructured: Convert documents to structured data effortlessly. See the comparison table for live GitHub stats and shared categories.
When should I choose hamilton over unstructured?
Choose hamilton over unstructured when hamilton is primarily Jupyter Notebook; unstructured is HTML; Tags unique to hamilton: dag, data-analysis, data-engineering, data-science; Requires detailed lineage and tracing in Python-based ETL processes.
When should I choose unstructured over hamilton?
Choose unstructured over hamilton when unstructured is primarily HTML; hamilton is Jupyter Notebook; Tags unique to unstructured: data-pipelines, deep-learning, document-image-analysis, document-image-processing; Also covers Model Training; unstructured ships Docker support for self-hosted deployment; When you need to convert a variety of document types, including PDFs and images, into structured data formats suitable for language models.
When should I avoid hamilton?
Working exclusively within a non-Python environment where broader platform support is needed Projects that do not require extensive metadata capture or lineage tracking capabilities
When should I avoid unstructured?
If you are working with simple text files that do not require complex parsing or enrichment processes. When you need a tool that supports real-time document processing, as Unstructured is optimized for batch processing and may not be suitable for real-time applications. If you are looking for a solution that does not require setting up a Docker environment or managing dependencies with uv. When you need a tool that supports a wider range of document types beyond PDFs and images, as Unstructured may not cover all your document format needs.
Is hamilton or unstructured more popular on GitHub?
unstructured has more GitHub stars (15,446 vs 2,601). Stars measure visibility, not whether either tool fits your constraints.
Are hamilton and unstructured open source?
Yes - both are open-source projects on GitHub (hamilton: Apache-2.0, unstructured: Apache-2.0).
Where can I find alternatives to hamilton or unstructured?
GraphCanon lists graph-backed alternatives at hamilton alternatives and unstructured alternatives (hamilton markdown twin, unstructured markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, hamilton or unstructured?
hamilton: Very active. unstructured: 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 hamilton and unstructured?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hamilton trust report; unstructured trust report.

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