Home/Compare/DeepSeek-V3 vs tome

Comparison

DeepSeek-V3 vs tome

Verdict

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

Markdown twin · DeepSeek-V3 alternatives · tome alternatives

GraphCanon updated today

DeepSeek-V3 logo

DeepSeek-V3

deepseek-ai/DeepSeek-V3

104kpushed Aug 28, 2025
vs
tome logo

tome

runebookai/tome

625pushed Oct 20, 2025

Trust & integrity

SignalDeepSeek-V3tome
Maintenance
Slowing (318d since push)
As of 3d · github_public_v1
Slowing (267d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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

Stars

DeepSeek-V3
104k
tome
625

Forks

DeepSeek-V3
17k
tome
45

Open issues

DeepSeek-V3
248
tome
15

Language

DeepSeek-V3
Python
tome
Svelte

Adopt for

DeepSeek-V3
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
tome
-

Persona

DeepSeek-V3
-
tome
-

Runtime

DeepSeek-V3
-
tome
-

License

DeepSeek-V3
MIT
tome
Apache-2.0

Last pushed

DeepSeek-V3
Aug 28, 2025
tome
Oct 20, 2025

Categories

DeepSeek-V3
Developer Tools, Inference & Serving
tome
Developer Tools, Inference & Serving, LLM Frameworks

Trust and health

Days since push

DeepSeek-V3
318d
tome
267d

Open issues (now)

DeepSeek-V3
248
tome
15

Full report

DeepSeek-V3
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DeepSeek-V3 104k · tome 625 (synced Jul 12, 2026).

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 and tome alternatives (DeepSeek-V3 markdown twin, tome markdown twin), 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 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; tome trust report.

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