---
title: "DeepSeek-V3 vs tome"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/deepseek-ai-deepseek-v3-vs-runebookai-tome"
tools: ["deepseek-ai-deepseek-v3", "runebookai-tome"]
---

# DeepSeek-V3 vs tome

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick DeepSeek-V3 when deepSeek-V3 is primarily Python; tome is Svelte; pick tome when tome is primarily Svelte; DeepSeek-V3 is Python.

[DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) reports 104k GitHub stars, 17k forks, and 248 open issues, last pushed Aug 28, 2025. [tome](https://gettome.app) has 625 stars, 45 forks, and 15 open issues, last pushed Oct 20, 2025. Figures are from public GitHub metadata via [DeepSeek-V3's repository](https://github.com/deepseek-ai/DeepSeek-V3) and [tome's repository](https://github.com/runebookai/tome).

| | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) | [tome](/tools/runebookai-tome.md) |
| --- | --- | --- |
| Tagline | Repository lacking description with unspecified content related to AI development. | a magical LLM desktop client that makes it easy for *anyone* to use LLMs and MCP |
| Stars | 103,904 | 625 |
| Forks | 16,730 | 45 |
| Open issues | 248 | 15 |
| Language | Python | Svelte |
| Adopt for | DeepSeek-V3 is a Python-based AI development tool, with documentation focused solely on licensing terms for both its codebase and models. It's unclear from the available information what specific features or capabilities | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Developer Tools, Inference & Serving | Developer Tools, Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [DeepSeek-V3](/tools/deepseek-ai-deepseek-v3.md) | [tome](/tools/runebookai-tome.md) |
| --- | --- | --- |
| Days since push | 318d | 267d |
| Open issues (now) | 248 | 15 |
| Full report | [trust report](/tools/deepseek-ai-deepseek-v3/trust.md) | [trust report](/tools/runebookai-tome/trust.md) |

## Decision facts: DeepSeek-V3

- **Adopt for:** DeepSeek-V3 is a Python-based AI development tool, with documentation focused solely on licensing terms for both its codebase and models. It's unclear from the available information what specific features or capabilities

## Choose when

### Choose DeepSeek-V3 if…

- DeepSeek-V3 is primarily Python; tome is Svelte.
- License: DeepSeek-V3 is MIT, tome is Apache-2.0.
- Tags unique to DeepSeek-V3: commercial use, mit license, python.
- - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided.

### Choose tome if…

- tome is primarily Svelte; DeepSeek-V3 is Python.
- License: tome is Apache-2.0, DeepSeek-V3 is MIT.
- Tags unique to tome: gemini, llm, llm-client, llms.
- Also covers LLM Frameworks.

## When NOT to use DeepSeek-V3

- - If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content.
- - When you require open-source model details or functionalities other than those related solely to licensing terms.

## When NOT to use tome

- Last GitHub push was 267 days ago (slowing maintenance, Oct 20, 2025). Validate activity before betting a new project on tome.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between DeepSeek-V3 and tome?

DeepSeek-V3: Repository lacking description with unspecified content related to AI development.. tome: a magical LLM desktop client that makes it easy for *anyone* to use LLMs and MCP. See the comparison table for live GitHub stats and shared categories.

### When should I choose DeepSeek-V3 over tome?

Choose DeepSeek-V3 over tome when DeepSeek-V3 is primarily Python; tome is Svelte; License: DeepSeek-V3 is MIT, tome is Apache-2.0; Tags unique to DeepSeek-V3: commercial use, mit license, python; - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided.

### When should I choose tome over DeepSeek-V3?

Choose tome over DeepSeek-V3 when tome is primarily Svelte; DeepSeek-V3 is Python; License: tome is Apache-2.0, DeepSeek-V3 is MIT; Tags unique to tome: gemini, llm, llm-client, llms; Also covers LLM Frameworks.

### When should I avoid DeepSeek-V3?

- If detailed documentation and clear feature descriptions are crucial as the repository lacks descriptive content. - When you require open-source model details or functionalities other than those related solely to licensing terms.

### When should I avoid tome?

Last GitHub push was 267 days ago (slowing maintenance, Oct 20, 2025). Validate activity before betting a new project on tome. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is DeepSeek-V3 or tome more popular on GitHub?

DeepSeek-V3 has more GitHub stars (103,904 vs 625). Stars measure visibility, not whether either tool fits your constraints.

### Are DeepSeek-V3 and tome open source?

Yes - both are open-source projects on GitHub (DeepSeek-V3: MIT, tome: Apache-2.0).

### Where can I find alternatives to DeepSeek-V3 or tome?

GraphCanon lists graph-backed alternatives at [DeepSeek-V3 alternatives](/tools/deepseek-ai-deepseek-v3/alternatives) and [tome alternatives](/tools/runebookai-tome/alternatives) ([DeepSeek-V3 markdown twin](/tools/deepseek-ai-deepseek-v3/alternatives.md), [tome markdown twin](/tools/runebookai-tome/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/deepseek-ai-deepseek-v3-vs-runebookai-tome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, DeepSeek-V3 or tome?

DeepSeek-V3: Slowing. tome: 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 DeepSeek-V3 and tome?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-V3 trust report](/tools/deepseek-ai-deepseek-v3/trust); [tome trust report](/tools/runebookai-tome/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=deepseek-ai-deepseek-v3`](/api/graphcanon/graph?tool=deepseek-ai-deepseek-v3)
- 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/_