Comparison
crate vs awesome-llm-apps
Verdict
Pick crate if crateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing; 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 cases in Python.
Markdown twin · crate alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | crate | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 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 Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- crate
- Distributed and Scalable SQL Database for Near Real-Time Data Analysis
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- crate
- 4.4k
- awesome-llm-apps
- 136k
Forks
- crate
- 617
- awesome-llm-apps
- 20k
Open issues
- crate
- 325
- awesome-llm-apps
- 10
Language
- crate
- Java
- awesome-llm-apps
- Python
Adopt for
- crate
- CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing.
- 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
- crate
- -
- awesome-llm-apps
- -
Runtime
- crate
- -
- awesome-llm-apps
- -
License
- crate
- 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
- crate
- Sep 18, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- crate
- Data & Retrieval, Vector Databases
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- crate
- 1d
- awesome-llm-apps
- 4d
Open issues (now)
- crate
- 325
- awesome-llm-apps
- 10
Stars delta
- crate
- +20 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- crate
- +8 (30d)
- awesome-llm-apps
- -3 (30d)
Owner type
- crate
- Organization
- awesome-llm-apps
- User
Full report
- crate
- Trust report
- awesome-llm-apps
- Trust report
Choose crate if…
- crate is primarily Java; awesome-llm-apps is Python.
- Tags unique to crate: analytics, big-data, cratedb, database.
- Also covers Vector Databases.
- - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
When NOT to use crate
- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations.
- - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; crate is Java.
- 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 (crate/crate) · observed Sep 20, 2026
- GitHub forks (crate/crate) · observed Sep 20, 2026
- Last push (crate/crate) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: crate 4.4k · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between crate and awesome-llm-apps?
- crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. 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 crate over awesome-llm-apps?
- Choose crate over awesome-llm-apps when crate is primarily Java; awesome-llm-apps is Python; Tags unique to crate: analytics, big-data, cratedb, database; Also covers Vector Databases; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
- When should I choose awesome-llm-apps over crate?
- Choose awesome-llm-apps over crate when awesome-llm-apps is primarily Python; crate is Java; 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 crate?
- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.
- 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 crate or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 4,436). Stars measure visibility, not whether either tool fits your constraints.
- Are crate and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (crate: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to crate or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at crate alternatives and awesome-llm-apps alternatives (crate 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, crate or awesome-llm-apps?
- crate: 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 crate and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crate trust report; awesome-llm-apps trust report.