---
title: "carla vs weaviate-examples"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/carla-simulator-carla-vs-weaviate-weaviate-examples"
tools: ["carla-simulator-carla", "weaviate-weaviate-examples"]
---

# carla vs weaviate-examples

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick carla when carla is primarily C++; weaviate-examples is HTML; pick weaviate-examples when weaviate-examples is primarily HTML; carla is C++.

[carla](http://carla.org) reports 14k GitHub stars, 4.6k forks, and 1.2k open issues, last pushed Jul 10, 2026. [weaviate-examples](https://github.com/weaviate/weaviate-examples) has 332 stars, 86 forks, and 12 open issues, last pushed Aug 7, 2025. Figures are from public GitHub metadata via [carla's repository](https://github.com/carla-simulator/carla) and [weaviate-examples's repository](https://github.com/weaviate/weaviate-examples).

| | [carla](/tools/carla-simulator-carla.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) |
| --- | --- | --- |
| Tagline | Open-source simulator for autonomous driving research. | Weaviate vector database – examples |
| Stars | 14,161 | 332 |
| Forks | 4,626 | 86 |
| Open issues | 1,185 | 12 |
| Language | C++ | HTML |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Model Training, Vector Databases | Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [carla](/tools/carla-simulator-carla.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 1d | 337d |
| Open issues (now) | 1.2k | 12 |
| Security scan | 6 low (6 low) | No lockfile |
| Full report | [trust report](/tools/carla-simulator-carla/trust.md) | [trust report](/tools/weaviate-weaviate-examples/trust.md) |

## Choose when

### Choose carla if…

- carla is primarily C++; weaviate-examples is HTML.
- Tags unique to carla: ai, artificial-intelligence, autonomous-driving, autonomous-vehicles.
- Also covers AI Agents, Model Training.

### Choose weaviate-examples if…

- weaviate-examples is primarily HTML; carla is C++.
- Tags unique to weaviate-examples: deep-learning, examples, html, vector-database.
- Leaner open-issue backlog (12).

## When NOT to use carla

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use weaviate-examples

- Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## Common questions

### What is the difference between carla and weaviate-examples?

carla: Open-source simulator for autonomous driving research.. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories.

### When should I choose carla over weaviate-examples?

Choose carla over weaviate-examples when carla is primarily C++; weaviate-examples is HTML; Tags unique to carla: ai, artificial-intelligence, autonomous-driving, autonomous-vehicles; Also covers AI Agents, Model Training.

### When should I choose weaviate-examples over carla?

Choose weaviate-examples over carla when weaviate-examples is primarily HTML; carla is C++; Tags unique to weaviate-examples: deep-learning, examples, html, vector-database; Leaner open-issue backlog (12).

### When should I avoid carla?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### When should I avoid weaviate-examples?

Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is carla or weaviate-examples more popular on GitHub?

carla has more GitHub stars (14,161 vs 332). Stars measure visibility, not whether either tool fits your constraints.

### Are carla and weaviate-examples open source?

Yes - both are open-source projects on GitHub (carla: MIT, weaviate-examples: MIT).

### Where can I find alternatives to carla or weaviate-examples?

GraphCanon lists graph-backed alternatives at [carla alternatives](/tools/carla-simulator-carla/alternatives) and [weaviate-examples alternatives](/tools/weaviate-weaviate-examples/alternatives) ([carla markdown twin](/tools/carla-simulator-carla/alternatives.md), [weaviate-examples markdown twin](/tools/weaviate-weaviate-examples/alternatives.md)), 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](/compare/carla-simulator-carla-vs-weaviate-weaviate-examples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, carla or weaviate-examples?

carla: Very active. weaviate-examples: Slowing. 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 carla and weaviate-examples?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [carla trust report](/tools/carla-simulator-carla/trust); [weaviate-examples trust report](/tools/weaviate-weaviate-examples/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=carla-simulator-carla`](/api/graphcanon/graph?tool=carla-simulator-carla)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
