Comparison
distilabel vs awesome-llm-apps
Verdict
Pick distilabel when tags unique to distilabel: synthetic-data, ai, rlhf, rlaif; pick awesome-llm-apps when pricing: Free with open-source licensing, but commercial exploitation is allowed..
Markdown twin · distilabel alternatives · awesome-llm-apps alternatives
GraphCanon updated today
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Trust & integrity
| Signal | distilabel | awesome-llm-apps |
|---|---|---|
| Maintenance | Active (12d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- distilabel
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars
- distilabel
- 3.3k
- awesome-llm-apps
- 118k
Forks
- distilabel
- 247
- awesome-llm-apps
- 17k
Open issues
- distilabel
- 99
- awesome-llm-apps
- 6
Language
- distilabel
- Python
- awesome-llm-apps
- Python
Adopt for
- distilabel
- -
- 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
- distilabel
- -
- awesome-llm-apps
- -
Runtime
- distilabel
- -
- awesome-llm-apps
- -
License
- distilabel
- 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
- distilabel
- Jun 29, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- distilabel
- Data & Retrieval, LLM Frameworks
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- distilabel
- Active (82%)
- awesome-llm-apps
- Very active (96%)
Days since push
- distilabel
- 12d
- awesome-llm-apps
- 0d
Open issues (now)
- distilabel
- 99
- awesome-llm-apps
- 6
Owner type
- distilabel
- Organization
- awesome-llm-apps
- User
Full report
- distilabel
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · distilabel: Python runtime · awesome-llm-apps: Python runtime
Choose distilabel if…
- Tags unique to distilabel: synthetic-data, ai, rlhf, rlaif.
- Also covers LLM Frameworks.
When NOT to use distilabel
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: deployable, applications, agents, rag.
- Also covers AI Agents.
- 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 (argilla-io/distilabel) · observed Jul 11, 2026
- GitHub forks (argilla-io/distilabel) · observed Jul 11, 2026
- Last push (argilla-io/distilabel) · observed Jun 29, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: distilabel 3.3k · awesome-llm-apps 118k (synced Jul 11, 2026).
Common questions
- What is the difference between distilabel and awesome-llm-apps?
- distilabel: Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories.
- When should I choose distilabel over awesome-llm-apps?
- Choose distilabel over awesome-llm-apps when Tags unique to distilabel: synthetic-data, ai, rlhf, rlaif; Also covers LLM Frameworks.
- When should I choose awesome-llm-apps over distilabel?
- Choose awesome-llm-apps over distilabel when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: deployable, applications, agents, rag; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid distilabel?
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 distilabel or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 3,319). Stars measure visibility, not whether either tool fits your constraints.
- Are distilabel and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (distilabel: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to distilabel or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at distilabel alternatives and awesome-llm-apps alternatives (distilabel 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, distilabel or awesome-llm-apps?
- distilabel: 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 distilabel and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distilabel trust report; awesome-llm-apps trust report.