---
title: "redis vs auto-evaluator"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/redis-redis-vs-rlancemartin-auto-evaluator"
tools: ["redis-redis", "rlancemartin-auto-evaluator"]
---

# redis vs auto-evaluator

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick redis when redis is primarily C; auto-evaluator is Python; pick auto-evaluator when auto-evaluator is primarily Python; redis is C.

[redis](http://redis.io) reports 75k GitHub stars, 25k forks, and 2.9k open issues, last pushed Jul 10, 2026. [auto-evaluator](https://autoevaluator.langchain.com/) has 1.1k stars, 92 forks, and 3 open issues, last pushed May 10, 2023. Figures are from public GitHub metadata via [redis's repository](https://github.com/redis/redis) and [auto-evaluator's repository](https://github.com/rlancemartin/auto-evaluator).

| | [redis](/tools/redis-redis.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) |
| --- | --- | --- |
| Tagline | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. | Evaluation tool for LLM QA chains |
| Stars | 75,394 | 1,102 |
| Forks | 24,718 | 92 |
| Open issues | 2,867 | 3 |
| Language | C | Python |
| Adopt for | Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Other | - |
| Categories | Data & Retrieval, Vector Databases | LLM Frameworks, Data & Retrieval, Vector Databases |

## Trust and health

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

| | [redis](/tools/redis-redis.md) | [auto-evaluator](/tools/rlancemartin-auto-evaluator.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1158d |
| Open issues (now) | 2.9k | 3 |
| Owner type | Organization | User |
| Security scan | No lockfile | 118 low (118 low) |
| Full report | [trust report](/tools/redis-redis/trust.md) | [trust report](/tools/rlancemartin-auto-evaluator/trust.md) |

## Decision facts: redis

- **Adopt for:** Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications.

## Choose when

### Choose redis if…

- redis is primarily C; auto-evaluator is Python.
- Tags unique to redis: cache, json, nosql, in-memory.
- You need high-speed access to frequently used data due to Redis's in-memory nature.

### Choose auto-evaluator if…

- auto-evaluator is primarily Python; redis is C.
- Tags unique to auto-evaluator: python.
- Also covers LLM Frameworks.

## When NOT to use redis

- Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets.
- You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases.
- Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.

## When NOT to use auto-evaluator

- Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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 redis and auto-evaluator?

redis: Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.. auto-evaluator: Evaluation tool for LLM QA chains. See the comparison table for live GitHub stats and shared categories.

### When should I choose redis over auto-evaluator?

Choose redis over auto-evaluator when redis is primarily C; auto-evaluator is Python; Tags unique to redis: cache, json, nosql, in-memory; You need high-speed access to frequently used data due to Redis's in-memory nature.

### When should I choose auto-evaluator over redis?

Choose auto-evaluator over redis when auto-evaluator is primarily Python; redis is C; Tags unique to auto-evaluator: python; Also covers LLM Frameworks.

### When should I avoid redis?

Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.

### When should I avoid auto-evaluator?

Last GitHub push was 1159 days ago (dormant maintenance, May 10, 2023). Validate activity before betting a new project on auto-evaluator. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is redis or auto-evaluator more popular on GitHub?

redis has more GitHub stars (75,394 vs 1,102). Stars measure visibility, not whether either tool fits your constraints.

### Are redis and auto-evaluator open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to redis or auto-evaluator?

GraphCanon lists graph-backed alternatives at [redis alternatives](/tools/redis-redis/alternatives) and [auto-evaluator alternatives](/tools/rlancemartin-auto-evaluator/alternatives) ([redis markdown twin](/tools/redis-redis/alternatives.md), [auto-evaluator markdown twin](/tools/rlancemartin-auto-evaluator/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/redis-redis-vs-rlancemartin-auto-evaluator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, redis or auto-evaluator?

redis: Very active. auto-evaluator: Dormant. 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 redis and auto-evaluator?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [redis trust report](/tools/redis-redis/trust); [auto-evaluator trust report](/tools/rlancemartin-auto-evaluator/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=redis-redis`](/api/graphcanon/graph?tool=redis-redis)
- 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/_
