---
title: "jiwer vs code-review-graph"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/jitsi-jiwer-vs-tirth8205-code-review-graph"
tools: ["jitsi-jiwer", "tirth8205-code-review-graph"]
---

# jiwer vs code-review-graph

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick jiwer when license: jiwer is Apache-2.0, code-review-graph is MIT; pick code-review-graph when license: code-review-graph is MIT, jiwer is Apache-2.0.

[jiwer](https://github.com/jitsi/jiwer) reports 910 GitHub stars, 107 forks, and 19 open issues, last pushed Apr 16, 2026. [code-review-graph](https://code-review-graph.com) has 19k stars, 2.1k forks, and 185 open issues, last pushed Jun 14, 2026. Figures are from public GitHub metadata via [jiwer's repository](https://github.com/jitsi/jiwer) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph).

| | [jiwer](/tools/jitsi-jiwer.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) |
| --- | --- | --- |
| Tagline | Evaluate your speech-to-text system with similarity measures such as word error rate (WER) | Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w |
| Stars | 910 | 19,416 |
| Forks | 107 | 2,078 |
| Open issues | 19 | 185 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Speech & Audio, Evaluation & Observability | LLM Frameworks, Developer Tools, Evaluation & Observability |

## Trust and health

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

| | [jiwer](/tools/jitsi-jiwer.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Active (82%) |
| Days since push | 85d | 26d |
| Open issues (now) | 19 | 185 |
| Owner type | Organization | User |
| Security scan | No lockfile | No MCP manifest |
| Full report | [trust report](/tools/jitsi-jiwer/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) |

## Choose when

### Choose jiwer if…

- License: jiwer is Apache-2.0, code-review-graph is MIT.
- Tags unique to jiwer: automatic-speech-recognition, word-error-rate, python3, speech-to-text.
- Also covers Speech & Audio.

### Choose code-review-graph if…

- License: code-review-graph is MIT, jiwer is Apache-2.0.
- Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm.
- Also covers LLM Frameworks, Developer Tools.

## When NOT to use jiwer

- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

## When NOT to use code-review-graph

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

## Common questions

### What is the difference between jiwer and code-review-graph?

jiwer: Evaluate your speech-to-text system with similarity measures such as word error rate (WER). code-review-graph: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo w. See the comparison table for live GitHub stats and shared categories.

### When should I choose jiwer over code-review-graph?

Choose jiwer over code-review-graph when License: jiwer is Apache-2.0, code-review-graph is MIT; Tags unique to jiwer: automatic-speech-recognition, word-error-rate, python3, speech-to-text; Also covers Speech & Audio.

### When should I choose code-review-graph over jiwer?

Choose code-review-graph over jiwer when License: code-review-graph is MIT, jiwer is Apache-2.0; Tags unique to code-review-graph: graphrag, ai-coding, incremental, llm; Also covers LLM Frameworks, Developer Tools.

### When should I avoid jiwer?

Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### When should I avoid code-review-graph?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### Is jiwer or code-review-graph more popular on GitHub?

code-review-graph has more GitHub stars (19,416 vs 910). Stars measure visibility, not whether either tool fits your constraints.

### Are jiwer and code-review-graph open source?

Yes - both are open-source projects on GitHub (jiwer: Apache-2.0, code-review-graph: MIT).

### Where can I find alternatives to jiwer or code-review-graph?

GraphCanon lists graph-backed alternatives at [jiwer alternatives](/tools/jitsi-jiwer/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([jiwer markdown twin](/tools/jitsi-jiwer/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/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/jitsi-jiwer-vs-tirth8205-code-review-graph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, jiwer or code-review-graph?

jiwer: Steady. code-review-graph: 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 jiwer and code-review-graph?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jiwer trust report](/tools/jitsi-jiwer/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust).

---

**Machine-readable endpoints**

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