Comparison
jarvis-registry vs DeepSeek-V3
Verdict
Pick jarvis-registry when license: jarvis-registry is Apache-2.0, DeepSeek-V3 is MIT; pick DeepSeek-V3 when license: DeepSeek-V3 is MIT, jarvis-registry is Apache-2.0.
Markdown twin · jarvis-registry alternatives · DeepSeek-V3 alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | jarvis-registry | DeepSeek-V3 |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (318d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- jarvis-registry
- Connect any AI copilot or autonomous agent to your enterprise tools, through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.
- DeepSeek-V3
- Repository lacking description with unspecified content related to AI development.
Stars
- jarvis-registry
- 2.2k
- DeepSeek-V3
- 104k
Forks
- jarvis-registry
- 330
- DeepSeek-V3
- 17k
Open issues
- jarvis-registry
- 1
- DeepSeek-V3
- 248
Language
- jarvis-registry
- Python
- DeepSeek-V3
- Python
Adopt for
- jarvis-registry
- -
- 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
Persona
- jarvis-registry
- -
- DeepSeek-V3
- -
Runtime
- jarvis-registry
- -
- DeepSeek-V3
- -
License
- jarvis-registry
- Apache-2.0
- DeepSeek-V3
- MIT
Last pushed
- jarvis-registry
- Jul 15, 2026
- DeepSeek-V3
- Aug 28, 2025
Categories
- jarvis-registry
- AI Agents, Developer Tools, Inference & Serving
- DeepSeek-V3
- Developer Tools, Inference & Serving
Trust and health
Maintenance
- jarvis-registry
- Very active (96%)
- DeepSeek-V3
- Slowing (36%)
Days since push
- jarvis-registry
- 0d
- DeepSeek-V3
- 318d
Open issues (now)
- jarvis-registry
- 1
- DeepSeek-V3
- 248
Full report
- jarvis-registry
- Trust report
- DeepSeek-V3
- Trust report
Choose jarvis-registry if…
- License: jarvis-registry is Apache-2.0, DeepSeek-V3 is MIT.
- Tags unique to jarvis-registry: agent, agent-gateway, agent-orchestration, mcp.
- Also covers AI Agents.
- jarvis-registry ships Docker support for self-hosted deployment.
When NOT to use jarvis-registry
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
Choose DeepSeek-V3 if…
- License: DeepSeek-V3 is MIT, jarvis-registry is Apache-2.0.
- Tags unique to DeepSeek-V3: commercial use, mit license.
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ascending-llc/jarvis-registry) · observed Jul 15, 2026
- GitHub forks (ascending-llc/jarvis-registry) · observed Jul 15, 2026
- Last push (ascending-llc/jarvis-registry) · observed Jul 15, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (deepseek-ai/DeepSeek-V3) · observed Jul 12, 2026
- GitHub forks (deepseek-ai/DeepSeek-V3) · observed Jul 12, 2026
- Last push (deepseek-ai/DeepSeek-V3) · observed Aug 28, 2025
- License file (MIT) · observed Jul 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jarvis-registry 2.2k · DeepSeek-V3 104k (synced Jul 15, 2026).
Common questions
- What is the difference between jarvis-registry and DeepSeek-V3?
- jarvis-registry: Connect any AI copilot or autonomous agent to your enterprise tools, through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.. DeepSeek-V3: Repository lacking description with unspecified content related to AI development.. See the comparison table for live GitHub stats and shared categories.
- When should I choose jarvis-registry over DeepSeek-V3?
- Choose jarvis-registry over DeepSeek-V3 when License: jarvis-registry is Apache-2.0, DeepSeek-V3 is MIT; Tags unique to jarvis-registry: agent, agent-gateway, agent-orchestration, mcp; Also covers AI Agents; jarvis-registry ships Docker support for self-hosted deployment.
- When should I choose DeepSeek-V3 over jarvis-registry?
- Choose DeepSeek-V3 over jarvis-registry when License: DeepSeek-V3 is MIT, jarvis-registry is Apache-2.0; Tags unique to DeepSeek-V3: commercial use, mit license; - When you need an AI model that allows for commercial usage as DeepSeek-V3 explicitly supports this based on licensing provided.
- When should I avoid jarvis-registry?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
- 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.
- Is jarvis-registry or DeepSeek-V3 more popular on GitHub?
- DeepSeek-V3 has more GitHub stars (103,904 vs 2,165). Stars measure visibility, not whether either tool fits your constraints.
- Are jarvis-registry and DeepSeek-V3 open source?
- Yes - both are open-source projects on GitHub (jarvis-registry: Apache-2.0, DeepSeek-V3: MIT).
- Where can I find alternatives to jarvis-registry or DeepSeek-V3?
- GraphCanon lists graph-backed alternatives at jarvis-registry alternatives and DeepSeek-V3 alternatives (jarvis-registry markdown twin, DeepSeek-V3 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, jarvis-registry or DeepSeek-V3?
- jarvis-registry: Very active. DeepSeek-V3: 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 jarvis-registry and DeepSeek-V3?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jarvis-registry trust report; DeepSeek-V3 trust report.