head to head · open source
CrateDB vs ha-llmvision
CrateDB has 4,440 GitHub stars, 618 forks, 332 open issues and last shipped 2 days ago. ha-llmvision has 1,478 stars, 146 forks, 44 open issues and last shipped 10 days ago. CrateDB leads on adoption by 200% (4,440 vs 1,478 stars). CrateDB is written in Java under Apache-2.0; ha-llmvision is written in Python under Apache-2.0. CrateDB has attracted 14% as many forks as stars, ha-llmvision 10%. CrateDB was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| CrateDB | ha-llmvision | |
|---|---|---|
| GitHub stars | ★ 4.4K | ★ 1.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Python |
| Last push | 2026-09-25 | 2026-09-17 |
| Forks | ⑂ 618 | ⑂ 146 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CrateDB if
- You weight community size — 4.4K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick ha-llmvision if
- You want the ha-llmvision feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ha-llmvision fits your workflow better
About CrateDB
CrateDB is a distributed, scalable SQL database built for storing and analyzing massive amounts of data in near real time, including complex queries. It is written in Java, licensed under Apache 2.0, and based on Lucene. The project combines the benefits of an SQL database with the scalability and flexibility typically associated with NoSQL databases, and it is PostgreSQL compatible, speaking the PostgreSQL wire protocol as well as offering an HTTP API. It lives in the analytics, big data, and IoT ecosystem, and the topic list places it alongside distributed SQL databases, Elasticsearch, industrial IoT, and IoT a…
read the full CrateDB overview →
About ha-llmvision
LLM Vision is a Home Assistant integration that uses multimodal large language models to analyze images, video files, live camera feeds and Frigate events, built for smart home owners who want their cameras to describe what they see rather than simply report that motion occurred.
read the full ha-llmvision overview →
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Frequently asked questions
Is CrateDB or ha-llmvision more popular?
CrateDB has 4,440 GitHub stars and ha-llmvision has 1,478. CrateDB has the larger community by that measure.
Are CrateDB and ha-llmvision free?
Both are open source. CrateDB is licensed under Apache-2.0 and ha-llmvision under Apache-2.0. Neither carries a licence fee.
What is the difference between CrateDB and ha-llmvision?
CrateDB is written in Java and ha-llmvision in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CrateDB or ha-llmvision?
Choose CrateDB if you want the larger community (4,440 stars) or its Apache-2.0 licence terms. Choose ha-llmvision if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.