Comparison
DeepSeek-Coder vs DeepSeek-V3
Verdict
Pick DeepSeek-Coder if deepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models; pick DeepSeek-V3 if 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.
Markdown twin · DeepSeek-Coder alternatives · DeepSeek-V3 alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | DeepSeek-Coder | DeepSeek-V3 |
|---|---|---|
| Maintenance | Slowing (267d since push) As of 2w · github_public_v1 | Slowing (343d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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-Coder
- DeepSeek Coder enables automatic code generation using AI.
- DeepSeek-V3
- Repository lacking description with unspecified content related to AI development.
Stars
- DeepSeek-Coder
- 24k
- DeepSeek-V3
- 104k
Forks
- DeepSeek-Coder
- 2.9k
- DeepSeek-V3
- 17k
Open issues
- DeepSeek-Coder
- 171
- DeepSeek-V3
- 214
Language
- DeepSeek-Coder
- Python
- DeepSeek-V3
- Python
Adopt for
- DeepSeek-Coder
- DeepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models.
- 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
- DeepSeek-Coder
- -
- DeepSeek-V3
- -
Runtime
- DeepSeek-Coder
- -
- DeepSeek-V3
- -
License
- DeepSeek-Coder
- MIT
- DeepSeek-V3
- MIT
Last pushed
- DeepSeek-Coder
- Nov 11, 2025
- DeepSeek-V3
- Aug 28, 2025
Categories
- DeepSeek-Coder
- Developer Tools, LLM Frameworks
- DeepSeek-V3
- Developer Tools, Inference & Serving
Trust and health
Days since push
- DeepSeek-Coder
- 267d
- DeepSeek-V3
- 343d
Open issues (now)
- DeepSeek-Coder
- 171
- DeepSeek-V3
- 214
OSV dependency advisories
- DeepSeek-Coder
- Published findings
- DeepSeek-V3
- No lockfile (source not queried)
Full report
- DeepSeek-Coder
- Trust report
- DeepSeek-V3
- Trust report
Choose DeepSeek-Coder if…
- Tags unique to DeepSeek-Coder: code generation, commercial use allowed.
- Also covers LLM Frameworks.
- - When you require an assist in writing Python scripts that are repetitive and well-defined
When NOT to use DeepSeek-Coder
- - When your project involves languages other than Python, given DeepSeek-Coder specifically serves Python programming
- - If you need granular control over every line of code being generated; DeepSeek-Coder is best for generating well-defined chunks of code not bespoke individual lines
Choose DeepSeek-V3 if…
- Tags unique to DeepSeek-V3: commercial use, python.
- Also covers Inference & Serving.
- - 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 (deepseek-ai/DeepSeek-Coder) · observed Aug 5, 2026
- GitHub forks (deepseek-ai/DeepSeek-Coder) · observed Aug 5, 2026
- Last push (deepseek-ai/DeepSeek-Coder) · observed Nov 11, 2025
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (deepseek-ai/DeepSeek-V3) · observed Aug 6, 2026
- GitHub forks (deepseek-ai/DeepSeek-V3) · observed Aug 6, 2026
- Last push (deepseek-ai/DeepSeek-V3) · observed Aug 28, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSeek-Coder 24k · DeepSeek-V3 104k (synced Aug 5, 2026).
Common questions
- What is the difference between DeepSeek-Coder and DeepSeek-V3?
- DeepSeek-Coder: DeepSeek Coder enables automatic code generation using AI.. 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 DeepSeek-Coder over DeepSeek-V3?
- Choose DeepSeek-Coder over DeepSeek-V3 when Tags unique to DeepSeek-Coder: code generation, commercial use allowed; Also covers LLM Frameworks; - When you require an assist in writing Python scripts that are repetitive and well-defined.
- When should I choose DeepSeek-V3 over DeepSeek-Coder?
- Choose DeepSeek-V3 over DeepSeek-Coder when Tags unique to DeepSeek-V3: commercial use, python; Also covers Inference & Serving; - 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 DeepSeek-Coder?
- - When your project involves languages other than Python, given DeepSeek-Coder specifically serves Python programming - If you need granular control over every line of code being generated; DeepSeek-Coder is best for generating well-defined chunks of code not bespoke individual lines
- 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 DeepSeek-Coder or DeepSeek-V3 more popular on GitHub?
- DeepSeek-V3 has more GitHub stars (104,121 vs 24,043). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-Coder and DeepSeek-V3 open source?
- Yes - both are open-source projects on GitHub (DeepSeek-Coder: MIT, DeepSeek-V3: MIT).
- Where can I find alternatives to DeepSeek-Coder or DeepSeek-V3?
- GraphCanon lists graph-backed alternatives at DeepSeek-Coder alternatives and DeepSeek-V3 alternatives (DeepSeek-Coder 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, DeepSeek-Coder or DeepSeek-V3?
- DeepSeek-Coder: Slowing. 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 DeepSeek-Coder and DeepSeek-V3?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-Coder trust report; DeepSeek-V3 trust report.