Comparison
NeumAI vs awesome-llm-apps
Verdict
Pick NeumAI if neumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open; 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.
Markdown twin · NeumAI alternatives · awesome-llm-apps alternatives
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Trust & integrity
| Signal | NeumAI | awesome-llm-apps |
|---|---|---|
| Maintenance | Dormant (948d since push) As of today · github_public_v1 | Very active (4d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- NeumAI
- Framework to manage creation and synchronization of vector embeddings at large scale
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- NeumAI
- 867
- awesome-llm-apps
- 131k
Forks
- NeumAI
- 50
- awesome-llm-apps
- 19k
Open issues
- NeumAI
- 9
- awesome-llm-apps
- 13
Language
- NeumAI
- Python
- awesome-llm-apps
- Python
Adopt for
- NeumAI
- NeumAI stands out in the space of managing large-scale vector embeddings, offering tools tailored for operations such as retrieval-augmented generation (RAG). Users looking to self-host embeddings management with an open
- 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
- NeumAI
- -
- awesome-llm-apps
- -
Runtime
- NeumAI
- -
- awesome-llm-apps
- -
License
- NeumAI
- 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
- NeumAI
- Jan 15, 2024
- awesome-llm-apps
- Aug 3, 2026
Categories
- NeumAI
- Data & Retrieval, Vector Databases
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- NeumAI
- Dormant (18%)
- awesome-llm-apps
- Very active (96%)
Days since push
- NeumAI
- 948d
- awesome-llm-apps
- 4d
Open issues (now)
- NeumAI
- 9
- awesome-llm-apps
- 13
Stars delta
- NeumAI
- +3 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- NeumAI
- 0 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- NeumAI
- Organization
- awesome-llm-apps
- User
Full report
- NeumAI
- Trust report
- awesome-llm-apps
- Trust report
Choose NeumAI if…
- Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options..
- Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting..
- Tags unique to NeumAI: ai, data-engineering, database, embeddings.
- Also covers Vector Databases.
- When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.
When NOT to use NeumAI
- When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks.
- If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
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.
- 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 (NeumTry/NeumAI) · observed Aug 21, 2026
- GitHub forks (NeumTry/NeumAI) · observed Aug 21, 2026
- Last push (NeumTry/NeumAI) · observed Jan 15, 2024
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: NeumAI 867 · awesome-llm-apps 131k (synced Aug 21, 2026).
Common questions
- What is the difference between NeumAI and awesome-llm-apps?
- NeumAI: Framework to manage creation and synchronization of vector embeddings at large scale. 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 NeumAI over awesome-llm-apps?
- Choose NeumAI over awesome-llm-apps when Pricing: Offers an open-source model under the Apache-2.0 license, potentially featuring a free-tier with premium/support options.; Requirements: Requires Python and compatibility with infrastructure that supports its backend architecture.; Contact their team at founders@tryneum.com for self-hosting.; Tags unique to NeumAI: ai, data-engineering, database, embeddings; Also covers Vector Databases; When you require robust and scalable infrastructure specifically designed for creating and synchronizing vector embeddings at scale.
- When should I choose awesome-llm-apps over NeumAI?
- Choose awesome-llm-apps over NeumAI when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid NeumAI?
- When your project requires customization beyond what the provided architecture allows, without the support expected from commercial offerings or competitive open-source frameworks. If your needs are simpler and don't demand large-scale operations, NeumAI’s capabilities focused on handling vast vector sets may be excessive for smaller projects.
- 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 NeumAI or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 867). Stars measure visibility, not whether either tool fits your constraints.
- Are NeumAI and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (NeumAI: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to NeumAI or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at NeumAI alternatives and awesome-llm-apps alternatives (NeumAI 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, NeumAI or awesome-llm-apps?
- NeumAI: Dormant. 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 NeumAI and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: NeumAI trust report; awesome-llm-apps trust report.