Comparison
DeepSeek-V3 vs autoMate
Verdict
Pick DeepSeek-V3 when tags unique to DeepSeek-V3: commercial use, mit license, python; pick autoMate when tags unique to autoMate: agent, ai, computeruse, deepseek.
Markdown twin · DeepSeek-V3 alternatives · autoMate alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSeek-V3 | autoMate |
|---|---|---|
| Maintenance | Slowing (318d since push) As of 3d · github_public_v1 | Steady (76d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | Published findings 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.
- autoMate
- Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves
Stars
- DeepSeek-V3
- 104k
- autoMate
- 3.9k
Forks
- DeepSeek-V3
- 17k
- autoMate
- 489
Open issues
- DeepSeek-V3
- 248
- autoMate
- 6
Language
- DeepSeek-V3
- Python
- autoMate
- Python
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
- autoMate
- -
Persona
- DeepSeek-V3
- -
- autoMate
- -
Runtime
- DeepSeek-V3
- -
- autoMate
- -
License
- DeepSeek-V3
- MIT
- autoMate
- MIT
Last pushed
- DeepSeek-V3
- Aug 28, 2025
- autoMate
- Apr 30, 2026
Categories
- DeepSeek-V3
- Developer Tools, Inference & Serving
- autoMate
- AI Agents, Developer Tools, Inference & Serving
Trust and health
Maintenance
- DeepSeek-V3
- Slowing (36%)
- autoMate
- Steady (60%)
Days since push
- DeepSeek-V3
- 318d
- autoMate
- 76d
Open issues (now)
- DeepSeek-V3
- 248
- autoMate
- 6
Owner type
- DeepSeek-V3
- Organization
- autoMate
- User
OSV dependency advisories
- DeepSeek-V3
- No lockfile (source not queried)
- autoMate
- Published findings
Full report
- DeepSeek-V3
- Trust report
- autoMate
- Trust report
Choose DeepSeek-V3 if…
- 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.
- More GitHub stars (104k vs 3.9k) - visibility, not fit.
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 autoMate if…
- Tags unique to autoMate: agent, ai, computeruse, deepseek.
- Also covers AI Agents.
- autoMate ships Docker support for self-hosted deployment.
When NOT to use autoMate
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (yuruotong1/autoMate) · observed Jul 15, 2026
- GitHub forks (yuruotong1/autoMate) · observed Jul 15, 2026
- Last push (yuruotong1/autoMate) · observed Apr 30, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: DeepSeek-V3 104k · autoMate 3.9k (synced Jul 12, 2026).
Common questions
- What is the difference between DeepSeek-V3 and autoMate?
- DeepSeek-V3: Repository lacking description with unspecified content related to AI development.. autoMate: Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSeek-V3 over autoMate?
- Choose DeepSeek-V3 over autoMate when 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; More GitHub stars (104k vs 3.9k) - visibility, not fit.
- When should I choose autoMate over DeepSeek-V3?
- Choose autoMate over DeepSeek-V3 when Tags unique to autoMate: agent, ai, computeruse, deepseek; Also covers AI Agents; autoMate ships Docker support for self-hosted deployment.
- 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 autoMate?
- 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.
- Is DeepSeek-V3 or autoMate more popular on GitHub?
- DeepSeek-V3 has more GitHub stars (103,904 vs 3,931). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-V3 and autoMate open source?
- Yes - both are open-source projects on GitHub (DeepSeek-V3: MIT, autoMate: MIT).
- Where can I find alternatives to DeepSeek-V3 or autoMate?
- GraphCanon lists graph-backed alternatives at DeepSeek-V3 alternatives and autoMate alternatives (DeepSeek-V3 markdown twin, autoMate 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 autoMate?
- DeepSeek-V3: Slowing. autoMate: Steady. 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 autoMate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-V3 trust report; autoMate trust report.