Home/Compare/hamilton vs awesome-pipeline

Comparison

hamilton vs awesome-pipeline

Verdict

Pick hamilton if apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support; pick awesome-pipeline if a curated list of pipeline toolkits for diverse applications.

Markdown twin · hamilton alternatives · awesome-pipeline alternatives

GraphCanon updated Sep 29, 2026

12views this month

hamilton logo

hamilton

apache/hamilton

★ 2.6kpushed Sep 29, 2026
vs
awesome-pipeline logo

awesome-pipeline

pditommaso/awesome-pipeline

★ 6.6kpushed Sep 8, 2026

Trust & integrity

Signalhamiltonawesome-pipeline
Maintenance
Very active (0d since push)
As of Sep 29, 2026 · github_public_v1
Very active (6d since push)
As of Sep 15, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 29, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 15, 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 Jul 15, 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
awesome-pipeline
Curated list of pipeline toolkits

Stars

hamilton
2.6k
awesome-pipeline
6.6k

Forks

hamilton
215
awesome-pipeline
650

Open issues

hamilton
153
awesome-pipeline
33

Language

hamilton
Jupyter Notebook
awesome-pipeline
-

Adopt for

hamilton
Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support.
awesome-pipeline
A curated list of pipeline toolkits for diverse applications.

Persona

hamilton
-
awesome-pipeline
-

Runtime

hamilton
-
awesome-pipeline
-

License

hamilton
Apache-2.0
awesome-pipeline
-

Last pushed

hamilton
Sep 29, 2026
awesome-pipeline
Sep 8, 2026

Categories

hamilton
Data & Retrieval, Developer Tools
awesome-pipeline
Developer Tools

Trust and health

Days since push

hamilton
0d
awesome-pipeline
6d

Open issues (now)

hamilton
153
awesome-pipeline
33

Stars delta

hamilton
+44 (30d)
awesome-pipeline
+8 (30d)

Open issues delta

hamilton
+5 (30d)
awesome-pipeline
-1 (30d)

Owner type

hamilton
Organization
awesome-pipeline
User

Full report

hamilton
Trust report
awesome-pipeline
Trust report

Shared compatibility

  • Python · hamilton: Python runtime · awesome-pipeline: Python runtime

Choose hamilton if…

  • Tags unique to hamilton: dag, data-analysis, data-engineering, data-science.
  • Also covers Data & Retrieval.
  • 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 awesome-pipeline if…

  • Tags unique to awesome-pipeline: automation, pipeline, workflow.
  • You need a comprehensive overview of various workflow and pipeline management tools
  • More GitHub stars (6.6k vs 2.6k) - visibility, not fit.

When NOT to use awesome-pipeline

  • Seeking specific functionality rather than an aggregated list of options
  • Looking for direct implementation guidance without further research into individual tools

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 · awesome-pipeline 6.6k (synced Sep 29, 2026).

Common questions

What is the difference between hamilton and awesome-pipeline?
hamilton: Modular dataflow definition for Python environments. awesome-pipeline: Curated list of pipeline toolkits. See the comparison table for live GitHub stats and shared categories.
When should I choose hamilton over awesome-pipeline?
Choose hamilton over awesome-pipeline when Tags unique to hamilton: dag, data-analysis, data-engineering, data-science; Also covers Data & Retrieval; Requires detailed lineage and tracing in Python-based ETL processes.
When should I choose awesome-pipeline over hamilton?
Choose awesome-pipeline over hamilton when Tags unique to awesome-pipeline: automation, pipeline, workflow; You need a comprehensive overview of various workflow and pipeline management tools; More GitHub stars (6.6k vs 2.6k) - visibility, not fit.
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 awesome-pipeline?
Seeking specific functionality rather than an aggregated list of options Looking for direct implementation guidance without further research into individual tools
Is hamilton or awesome-pipeline more popular on GitHub?
awesome-pipeline has more GitHub stars (6,624 vs 2,601). Stars measure visibility, not whether either tool fits your constraints.
Are hamilton and awesome-pipeline open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to hamilton or awesome-pipeline?
GraphCanon lists graph-backed alternatives at hamilton alternatives and awesome-pipeline alternatives (hamilton markdown twin, awesome-pipeline 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 awesome-pipeline?
hamilton: Very active. awesome-pipeline: 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 awesome-pipeline?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hamilton trust report; awesome-pipeline trust report.

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