Comparison
pipeshub-ai vs awesome-llm-apps
Verdict
Pick pipeshub-ai if pipesHub-ai is an open-source platform aimed at unifying business data for enterprise search and automating workflows with integrations into tools such as LangChain, LlamaParse, Notion, Slack, among others; pick awesome-llm-apps if 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.
Markdown twin · pipeshub-ai alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 7, 2026
22views this month
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Trust & integrity
| Signal | pipeshub-ai | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 14, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 14, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of Jul 15, 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
- pipeshub-ai
- An open-source extensible AI context layer for explainable enterprise search and workflow automation.
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- pipeshub-ai
- 3.2k
- awesome-llm-apps
- 136k
Forks
- pipeshub-ai
- 486
- awesome-llm-apps
- 20k
Open issues
- pipeshub-ai
- 92
- awesome-llm-apps
- 10
Language
- pipeshub-ai
- Python
- awesome-llm-apps
- Python
Adopt for
- pipeshub-ai
- PipesHub-ai is an open-source platform aimed at unifying business data for enterprise search and automating workflows with integrations into tools such as LangChain, LlamaParse, Notion, Slack, among others.
- 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
- pipeshub-ai
- -
- awesome-llm-apps
- -
Runtime
- pipeshub-ai
- -
- awesome-llm-apps
- -
License
- pipeshub-ai
- The tool is distributed under the Apache-2.0 license.
- 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
- pipeshub-ai
- Aug 13, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- pipeshub-ai
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- pipeshub-ai
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- pipeshub-ai
- 92
- awesome-llm-apps
- 10
Stars delta
- pipeshub-ai
- Unknown
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- pipeshub-ai
- Unknown
- awesome-llm-apps
- -3 (30d)
Owner type
- pipeshub-ai
- Organization
- awesome-llm-apps
- User
OSV dependency advisories
- pipeshub-ai
- No published findings from this source as of 2026-07-15
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- pipeshub-ai
- Trust report
- awesome-llm-apps
- Trust report
Choose pipeshub-ai if…
- Pricing: The core product is free to use, but for additional plugins or enterprise support services that may not be open-source, there could be paid tiers..
- Requirements: Docker Compose must be installed and configured properly. An HTTPS endpoint should be used when deploying on cloud servers..
- Tags unique to pipeshub-ai: agent, ai, drive, glean.
- pipeshub-ai ships Docker support for self-hosted deployment.
- Use PipesHub-ai if you require a platform that supports local or cloud deployments via Docker Compose to manage and automate workflows within an enterprise setting.
When NOT to use pipeshub-ai
- Avoid PipesHub-ai if your project does not align with the Python-based ecosystem, or if you do not require an open-source solution.
- Do not use this platform if HTTPS support for cloud deployments cannot be assured as it may lead to frontend security issues and deployment failures.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: applications, customizable, deployable, llms.
- 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 (pipeshub-ai/pipeshub-ai) · observed Aug 14, 2026
- GitHub forks (pipeshub-ai/pipeshub-ai) · observed Aug 14, 2026
- Last push (pipeshub-ai/pipeshub-ai) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pipeshub-ai 3.2k · awesome-llm-apps 136k (synced Aug 14, 2026).
Common questions
- What is the difference between pipeshub-ai and awesome-llm-apps?
- pipeshub-ai: An open-source extensible AI context layer for explainable enterprise search and workflow automation.. 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 pipeshub-ai over awesome-llm-apps?
- Choose pipeshub-ai over awesome-llm-apps when Pricing: The core product is free to use, but for additional plugins or enterprise support services that may not be open-source, there could be paid tiers.; Requirements: Docker Compose must be installed and configured properly. An HTTPS endpoint should be used when deploying on cloud servers.; Tags unique to pipeshub-ai: agent, ai, drive, glean; pipeshub-ai ships Docker support for self-hosted deployment; Use PipesHub-ai if you require a platform that supports local or cloud deployments via Docker Compose to manage and automate workflows within an enterprise setting.
- When should I choose awesome-llm-apps over pipeshub-ai?
- Choose awesome-llm-apps over pipeshub-ai when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: applications, customizable, deployable, llms; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid pipeshub-ai?
- Avoid PipesHub-ai if your project does not align with the Python-based ecosystem, or if you do not require an open-source solution. Do not use this platform if HTTPS support for cloud deployments cannot be assured as it may lead to frontend security issues and deployment failures.
- 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 pipeshub-ai or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 3,193). Stars measure visibility, not whether either tool fits your constraints.
- Are pipeshub-ai and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (pipeshub-ai: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to pipeshub-ai or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at pipeshub-ai alternatives and awesome-llm-apps alternatives (pipeshub-ai 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, pipeshub-ai or awesome-llm-apps?
- pipeshub-ai: 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 pipeshub-ai and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pipeshub-ai trust report; awesome-llm-apps trust report.