Comparison
LLM4Decompile vs DeepSeek-Coder
Verdict
Pick LLM4Decompile if lLM4Decompile uses large language models to reverse engineer binary code into assembly instructions and potentially source code; pick DeepSeek-Coder if deepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models.
Markdown twin · LLM4Decompile alternatives · DeepSeek-Coder alternatives
GraphCanon updated Oct 6, 2026
14views this month
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Trust & integrity
| Signal | LLM4Decompile | DeepSeek-Coder |
|---|---|---|
| Maintenance | Slowing (186d since push) As of Aug 17, 2026 · github_public_v1 | Slowing (328d since push) As of Oct 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 17, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- LLM4Decompile
- Decompiling Binary Code with Large Language Models
- DeepSeek-Coder
- DeepSeek Coder enables automatic code generation using AI.
Stars
- LLM4Decompile
- 7.0k
- DeepSeek-Coder
- 24k
Forks
- LLM4Decompile
- 546
- DeepSeek-Coder
- 2.9k
Open issues
- LLM4Decompile
- 46
- DeepSeek-Coder
- 173
Language
- LLM4Decompile
- Python
- DeepSeek-Coder
- Python
Adopt for
- LLM4Decompile
- LLM4Decompile uses large language models to reverse engineer binary code into assembly instructions and potentially source code.
- DeepSeek-Coder
- DeepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models.
Persona
- LLM4Decompile
- -
- DeepSeek-Coder
- -
Runtime
- LLM4Decompile
- -
- DeepSeek-Coder
- -
License
- LLM4Decompile
- MIT
- DeepSeek-Coder
- MIT
Last pushed
- LLM4Decompile
- Feb 12, 2026
- DeepSeek-Coder
- Nov 11, 2025
Categories
- LLM4Decompile
- LLM Frameworks
- DeepSeek-Coder
- Developer Tools, LLM Frameworks
Trust and health
Days since push
- LLM4Decompile
- 186d
- DeepSeek-Coder
- 328d
Open issues (now)
- LLM4Decompile
- 46
- DeepSeek-Coder
- 173
Stars delta
- LLM4Decompile
- +205 (30d)
- DeepSeek-Coder
- +60 (30d)
Owner type
- LLM4Decompile
- User
- DeepSeek-Coder
- Organization
Full report
- LLM4Decompile
- Trust report
- DeepSeek-Coder
- Trust report
Choose LLM4Decompile if…
- Pricing: The tool itself is open-source under the MIT license, but using it effectively may require access to specific large language models that could have associated costs..
- Requirements: Min 16 GB RAM; Requires a GPU for optimal performance with the specified model..
- Tags unique to LLM4Decompile: binary, decompile, large-language-models, reverse-engineering.
- LLM4Decompile ships Docker support for self-hosted deployment.
- When you need a tool that leverages advanced language models for decompiling binaries more effectively than traditional methods.
When NOT to use LLM4Decompile
- Avoid this tool if you require high precision in recreating exact source code, especially for heavily optimized binaries that lose contextual information during compilation.
- Do not use LLM4Decompile when working with less common architectures (e.g., RISC-V) unless explicitly supported or tested by the model.
Choose DeepSeek-Coder if…
- Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license.
- Also covers Developer Tools.
- - 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (albertan017/LLM4Decompile) · observed Sep 20, 2026
- GitHub forks (albertan017/LLM4Decompile) · observed Sep 20, 2026
- Last push (albertan017/LLM4Decompile) · observed Feb 12, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (deepseek-ai/DeepSeek-Coder) · observed Oct 6, 2026
- GitHub forks (deepseek-ai/DeepSeek-Coder) · observed Oct 6, 2026
- Last push (deepseek-ai/DeepSeek-Coder) · observed Nov 11, 2025
- License file (MIT) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLM4Decompile 7.0k · DeepSeek-Coder 24k (synced Sep 20, 2026).
Common questions
- What is the difference between LLM4Decompile and DeepSeek-Coder?
- LLM4Decompile: Decompiling Binary Code with Large Language Models. DeepSeek-Coder: DeepSeek Coder enables automatic code generation using AI.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLM4Decompile over DeepSeek-Coder?
- Choose LLM4Decompile over DeepSeek-Coder when Pricing: The tool itself is open-source under the MIT license, but using it effectively may require access to specific large language models that could have associated costs.; Requirements: Min 16 GB RAM; Requires a GPU for optimal performance with the specified model.; Tags unique to LLM4Decompile: binary, decompile, large-language-models, reverse-engineering; LLM4Decompile ships Docker support for self-hosted deployment; When you need a tool that leverages advanced language models for decompiling binaries more effectively than traditional methods.
- When should I choose DeepSeek-Coder over LLM4Decompile?
- Choose DeepSeek-Coder over LLM4Decompile when Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license; Also covers Developer Tools; - When you require an assist in writing Python scripts that are repetitive and well-defined.
- When should I avoid LLM4Decompile?
- Avoid this tool if you require high precision in recreating exact source code, especially for heavily optimized binaries that lose contextual information during compilation. Do not use LLM4Decompile when working with less common architectures (e.g., RISC-V) unless explicitly supported or tested by the model.
- 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
- Is LLM4Decompile or DeepSeek-Coder more popular on GitHub?
- DeepSeek-Coder has more GitHub stars (24,291 vs 6,965). Stars measure visibility, not whether either tool fits your constraints.
- Are LLM4Decompile and DeepSeek-Coder open source?
- Yes - both are open-source projects on GitHub (LLM4Decompile: MIT, DeepSeek-Coder: MIT).
- Where can I find alternatives to LLM4Decompile or DeepSeek-Coder?
- GraphCanon lists graph-backed alternatives at LLM4Decompile alternatives and DeepSeek-Coder alternatives (LLM4Decompile markdown twin, DeepSeek-Coder 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, LLM4Decompile or DeepSeek-Coder?
- LLM4Decompile: Slowing. DeepSeek-Coder: 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 LLM4Decompile and DeepSeek-Coder?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM4Decompile trust report; DeepSeek-Coder trust report.