--- title: "hamilton vs dagster" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-hamilton-vs-dagster-io-dagster" tools: ["apache-hamilton", "dagster-io-dagster"] --- # hamilton vs dagster *GraphCanon updated Aug 10, 2026* ## Verdict Pick hamilton if apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support; pick dagster if dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. [hamilton](https://hamilton.apache.org/) reports 2.6k GitHub stars, 203 forks, and 148 open issues, last pushed Aug 1, 2026. [dagster](https://dagster.io) has 16k stars, 2.2k forks, and 2.6k open issues, last pushed Aug 9, 2026. Figures are from public GitHub metadata via [hamilton's repository](https://github.com/apache/hamilton) and [dagster's repository](https://github.com/dagster-io/dagster). | | [hamilton](/tools/apache-hamilton.md) | [dagster](/tools/dagster-io-dagster.md) | | --- | --- | --- | | Tagline | Modular dataflow definition for Python environments | An orchestration platform for data assets | | Stars | 2,557 | 15,949 | | Forks | 203 | 2,232 | | Open issues | 148 | 2,596 | | Language | Jupyter Notebook | Python | | Adopt for | Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support. | Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hamilton](/tools/apache-hamilton.md) | [dagster](/tools/dagster-io-dagster.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 148 | 2.6k | | Full report | [trust report](/tools/apache-hamilton/trust.md) | [trust report](/tools/dagster-io-dagster/trust.md) | ## Shared compatibility - **Python**: [hamilton](/tools/apache-hamilton.md) - Python runtime; [dagster](/tools/dagster-io-dagster.md) - Python runtime ## Decision facts: hamilton - **Adopt for:** Apache Hamilton aids Python data environments by enabling modular, self-documenting dataflows with lineage/tracing and metadata support. ## Decision facts: dagster - **Adopt for:** Dagster is an open-source orchestration platform developed in Python for managing and observing data pipelines and workflows. ## Choose when ### Choose hamilton if… - hamilton is primarily Jupyter Notebook; dagster is Python. - Tags unique to hamilton: dag, data-analysis, data-science, feature-engineering. - Also covers Developer Tools. - Requires detailed lineage and tracing in Python-based ETL processes ### Choose dagster if… - dagster is primarily Python; hamilton is Jupyter Notebook. - Tags unique to dagster: data-orchestrator, etl, workflow. - Also covers Evaluation & Observability. - When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code. ## 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 ## When NOT to use dagster - If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements. - In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem. - For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding. - If specific features or integrations crucial to your workflow are found lacking in comparison to competitors. ## Common questions ### What is the difference between hamilton and dagster? hamilton: Modular dataflow definition for Python environments. dagster: An orchestration platform for data assets. See the comparison table for live GitHub stats and shared categories. ### When should I choose hamilton over dagster? Choose hamilton over dagster when hamilton is primarily Jupyter Notebook; dagster is Python; Tags unique to hamilton: dag, data-analysis, data-science, feature-engineering; Also covers Developer Tools; Requires detailed lineage and tracing in Python-based ETL processes. ### When should I choose dagster over hamilton? Choose dagster over hamilton when dagster is primarily Python; hamilton is Jupyter Notebook; Tags unique to dagster: data-orchestrator, etl, workflow; Also covers Evaluation & Observability; When your project requires an Apache-2.0 licensed tool allowing broader reuse and modification of code. ### 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 dagster? If you are restricted to proprietary or non-open-source licenses, as Dagster's Apache-2.0 might not align with compliance requirements. In environments where Python is not a preferred language, considering Dagster requires good knowledge of the Python ecosystem. For teams that do not require or benefit from extensive documentation and hands-on tutorials for onboarding. If specific features or integrations crucial to your workflow are found lacking in comparison to competitors. ### Is hamilton or dagster more popular on GitHub? dagster has more GitHub stars (15,949 vs 2,557). Stars measure visibility, not whether either tool fits your constraints. ### Are hamilton and dagster open source? Yes - both are open-source projects on GitHub (hamilton: Apache-2.0, dagster: Apache-2.0). ### Where can I find alternatives to hamilton or dagster? GraphCanon lists graph-backed alternatives at [hamilton alternatives](/tools/apache-hamilton/alternatives) and [dagster alternatives](/tools/dagster-io-dagster/alternatives) ([hamilton markdown twin](/tools/apache-hamilton/alternatives.md), [dagster markdown twin](/tools/dagster-io-dagster/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/apache-hamilton-vs-dagster-io-dagster.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hamilton or dagster? hamilton: Very active. dagster: 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 dagster? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hamilton trust report](/tools/apache-hamilton/trust); [dagster trust report](/tools/dagster-io-dagster/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-hamilton`](/api/graphcanon/graph?tool=apache-hamilton) - 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/_