Comparison
hamilton vs aisheets
Verdict
Pick hamilton if apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support; pick aisheets if aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code.
Markdown twin · hamilton alternatives · aisheets alternatives
GraphCanon updated Sep 29, 2026
11views this month
vs
Trust & integrity
| Signal | hamilton | aisheets |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 29, 2026 · github_public_v1 | Very active (2d since push) As of Sep 20, 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 20, 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 11, 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
- aisheets
- Build, enrich, and transform datasets using AI models with no code
Stars
- hamilton
- 2.6k
- aisheets
- 1.6k
Forks
- hamilton
- 215
- aisheets
- 139
Open issues
- hamilton
- 153
- aisheets
- 12
Language
- hamilton
- Jupyter Notebook
- aisheets
- TypeScript
Adopt for
- hamilton
- Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support.
- aisheets
- Aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code.
Persona
- hamilton
- -
- aisheets
- -
Runtime
- hamilton
- -
- aisheets
- -
License
- hamilton
- Apache-2.0
- aisheets
- Apache-2.0, which allows free use, modification, and distribution of the software but includes clauses that require preservation of copyright and license notices.
Last pushed
- hamilton
- Sep 29, 2026
- aisheets
- Sep 17, 2026
Categories
- hamilton
- Data & Retrieval, Developer Tools
- aisheets
- Data & Retrieval, Evaluation & Observability
Trust and health
Days since push
- hamilton
- 0d
- aisheets
- 2d
Open issues (now)
- hamilton
- 153
- aisheets
- 12
Stars delta
- hamilton
- +44 (30d)
- aisheets
- +5 (30d)
Open issues delta
- hamilton
- +5 (30d)
- aisheets
- 0 (30d)
Full report
- hamilton
- Trust report
- aisheets
- Trust report
Choose hamilton if…
- hamilton is primarily Jupyter Notebook; aisheets is TypeScript.
- Tags unique to hamilton: dag, data-analysis, data-engineering, data-science.
- Also covers Developer Tools.
- 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 aisheets if…
- aisheets is primarily TypeScript; hamilton is Jupyter Notebook.
- Tags unique to aisheets: ai, llm-evaluation, llms, nocode.
- Also covers Evaluation & Observability.
- aisheets ships Docker support for self-hosted deployment.
- Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.
When NOT to use aisheets
- Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential.
- Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (apache/hamilton) · observed Sep 29, 2026
- GitHub forks (apache/hamilton) · observed Sep 29, 2026
- Last push (apache/hamilton) · observed Sep 29, 2026
- License file (Apache-2.0) · observed Sep 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/aisheets) · observed Sep 20, 2026
- GitHub forks (huggingface/aisheets) · observed Sep 20, 2026
- Last push (huggingface/aisheets) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hamilton 2.6k · aisheets 1.6k (synced Sep 29, 2026).
Common questions
- What is the difference between hamilton and aisheets?
- hamilton: Modular dataflow definition for Python environments. aisheets: Build, enrich, and transform datasets using AI models with no code. See the comparison table for live GitHub stats and shared categories.
- When should I choose hamilton over aisheets?
- Choose hamilton over aisheets when hamilton is primarily Jupyter Notebook; aisheets is TypeScript; Tags unique to hamilton: dag, data-analysis, data-engineering, data-science; Also covers Developer Tools; Requires detailed lineage and tracing in Python-based ETL processes.
- When should I choose aisheets over hamilton?
- Choose aisheets over hamilton when aisheets is primarily TypeScript; hamilton is Jupyter Notebook; Tags unique to aisheets: ai, llm-evaluation, llms, nocode; Also covers Evaluation & Observability; aisheets ships Docker support for self-hosted deployment; Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.
- 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 aisheets?
- Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential. Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model.
- Is hamilton or aisheets more popular on GitHub?
- hamilton has more GitHub stars (2,601 vs 1,643). Stars measure visibility, not whether either tool fits your constraints.
- Are hamilton and aisheets open source?
- Yes - both are open-source projects on GitHub (hamilton: Apache-2.0, aisheets: Apache-2.0).
- Where can I find alternatives to hamilton or aisheets?
- GraphCanon lists graph-backed alternatives at hamilton alternatives and aisheets alternatives (hamilton markdown twin, aisheets 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 aisheets?
- hamilton: Very active. aisheets: 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 aisheets?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hamilton trust report; aisheets trust report.