Comparison
dagster vs awesome-llm-apps
Verdict
Pick dagster when tags unique to dagster: analytics, dagster, data-engineering, data-integration; pick awesome-llm-apps when pricing: Free with open-source licensing, but commercial exploitation is allowed..
Markdown twin · dagster alternatives · awesome-llm-apps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | dagster | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- dagster
- An orchestration platform for the development, production, and observation of data assets.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- dagster
- 16k
- awesome-llm-apps
- 120k
Forks
- dagster
- 2.2k
- awesome-llm-apps
- 18k
Open issues
- dagster
- 2.6k
- awesome-llm-apps
- 17
Language
- dagster
- Python
- awesome-llm-apps
- Python
Adopt for
- dagster
- -
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- dagster
- -
- awesome-llm-apps
- -
Runtime
- dagster
- -
- awesome-llm-apps
- -
License
- dagster
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- dagster
- Jul 15, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- dagster
- AI Agents, Data & Retrieval, Developer Tools
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- dagster
- 0d
- awesome-llm-apps
- 3d
Open issues (now)
- dagster
- 2.6k
- awesome-llm-apps
- 17
Owner type
- dagster
- Organization
- awesome-llm-apps
- User
Full report
- dagster
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · dagster: Python runtime · awesome-llm-apps: Python runtime
Choose dagster if…
- Tags unique to dagster: analytics, dagster, data-engineering, data-integration.
- Also covers Developer Tools.
- More recently updated (last pushed Jul 15, 2026).
When NOT to use dagster
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dagster-io/dagster) · observed Jul 15, 2026
- GitHub forks (dagster-io/dagster) · observed Jul 15, 2026
- Last push (dagster-io/dagster) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dagster 16k · awesome-llm-apps 120k (synced Jul 15, 2026).
Common questions
- What is the difference between dagster and awesome-llm-apps?
- dagster: An orchestration platform for the development, production, and observation of data assets.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dagster over awesome-llm-apps?
- Choose dagster over awesome-llm-apps when Tags unique to dagster: analytics, dagster, data-engineering, data-integration; Also covers Developer Tools; More recently updated (last pushed Jul 15, 2026).
- When should I choose awesome-llm-apps over dagster?
- Choose awesome-llm-apps over dagster when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid dagster?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is dagster or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 15,840). Stars measure visibility, not whether either tool fits your constraints.
- Are dagster and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (dagster: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to dagster or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at dagster alternatives and awesome-llm-apps alternatives (dagster markdown twin, awesome-llm-apps 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, dagster or awesome-llm-apps?
- dagster: Very active. awesome-llm-apps: 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 dagster and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dagster trust report; awesome-llm-apps trust report.