Comparison
DeepSeek-Coder vs awesome-gpt
Verdict
Pick DeepSeek-Coder if deepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models; pick awesome-gpt if awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
Markdown twin · DeepSeek-Coder alternatives · awesome-gpt alternatives
GraphCanon updated Oct 6, 2026
9views this month
vs
Trust & integrity
| Signal | DeepSeek-Coder | awesome-gpt |
|---|---|---|
| Maintenance | Slowing (328d since push) As of Oct 6, 2026 · github_public_v1 | Dormant (830d since push) As of Sep 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 6, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- DeepSeek-Coder
- DeepSeek Coder enables automatic code generation using AI.
- awesome-gpt
- Curated list of GPT and related resources
Stars
- DeepSeek-Coder
- 24k
- awesome-gpt
- 1.0k
Forks
- DeepSeek-Coder
- 2.9k
- awesome-gpt
- 77
Open issues
- DeepSeek-Coder
- 173
- awesome-gpt
- 29
Language
- DeepSeek-Coder
- Python
- awesome-gpt
- -
Adopt for
- DeepSeek-Coder
- DeepSeek-Coder is recognized for its automatic code generation capabilities backed by AI models.
- awesome-gpt
- awesome-gpt is a curated list of GPT and related resources, serving as a reference for developers exploring or working with large language models and their applications.
Persona
- DeepSeek-Coder
- -
- awesome-gpt
- -
Runtime
- DeepSeek-Coder
- -
- awesome-gpt
- -
License
- DeepSeek-Coder
- MIT
- awesome-gpt
- -
Last pushed
- DeepSeek-Coder
- Nov 11, 2025
- awesome-gpt
- May 29, 2024
Categories
- DeepSeek-Coder
- Developer Tools, LLM Frameworks
- awesome-gpt
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- DeepSeek-Coder
- Slowing (36%)
- awesome-gpt
- Dormant (18%)
Days since push
- DeepSeek-Coder
- 328d
- awesome-gpt
- 830d
Open issues (now)
- DeepSeek-Coder
- 173
- awesome-gpt
- 29
Stars delta
- DeepSeek-Coder
- +60 (30d)
- awesome-gpt
- +1 (30d)
Open issues delta
- DeepSeek-Coder
- 0 (30d)
- awesome-gpt
- +2 (30d)
Owner type
- DeepSeek-Coder
- Organization
- awesome-gpt
- User
OSV dependency advisories
- DeepSeek-Coder
- Published findings
- awesome-gpt
- No lockfile (source not queried)
Full report
- DeepSeek-Coder
- Trust report
- awesome-gpt
- Trust report
Choose DeepSeek-Coder if…
- Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license.
- - When you require an assist in writing Python scripts that are repetitive and well-defined
- More GitHub stars (24k vs 1.0k) - visibility, not fit.
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 awesome-gpt if…
- Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs..
- Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view.
- Tags unique to awesome-gpt: chatgpt, gpt, llm, openai.
- Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
When NOT to use awesome-gpt
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider.
- Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
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 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 (formulahendry/awesome-gpt) · observed Sep 20, 2026
- GitHub forks (formulahendry/awesome-gpt) · observed Sep 20, 2026
- Last push (formulahendry/awesome-gpt) · observed May 29, 2024
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSeek-Coder 24k · awesome-gpt 1.0k (synced Oct 6, 2026).
Common questions
- What is the difference between DeepSeek-Coder and awesome-gpt?
- DeepSeek-Coder: DeepSeek Coder enables automatic code generation using AI.. awesome-gpt: Curated list of GPT and related resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSeek-Coder over awesome-gpt?
- Choose DeepSeek-Coder over awesome-gpt when Tags unique to DeepSeek-Coder: code-generation, commercial use allowed, mit license; - When you require an assist in writing Python scripts that are repetitive and well-defined; More GitHub stars (24k vs 1.0k) - visibility, not fit.
- When should I choose awesome-gpt over DeepSeek-Coder?
- Choose awesome-gpt over DeepSeek-Coder when Pricing: Information about pricing is unavailable and likely does not apply as this is a curated list rather than a software service with licensing costs.; Requirements: Since awesome-gpt is an informational repository, it itself does not have RAM requirements or Docker needs. However, users might require internet access to view; Tags unique to awesome-gpt: chatgpt, gpt, llm, openai; Use awesome-gpt if you are looking for a comprehensive collection of links and resources specifically focused on GPT, ChatGPT, OpenAI products, and other large-scale AI tools.
- 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 awesome-gpt?
- Avoid using awesome-gpt if you need detailed tutorials or in-depth technical documentation, as it primarily functions as an index of resources rather than an educational material provider. Do not rely on awesome-gpt for real-time updates or specific usage statistics, tool availability, or pricing plans since the repository relies heavily on links external to its curation.
- Is DeepSeek-Coder or awesome-gpt more popular on GitHub?
- DeepSeek-Coder has more GitHub stars (24,291 vs 1,044). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSeek-Coder and awesome-gpt open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to DeepSeek-Coder or awesome-gpt?
- GraphCanon lists graph-backed alternatives at DeepSeek-Coder alternatives and awesome-gpt alternatives (DeepSeek-Coder markdown twin, awesome-gpt 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 awesome-gpt?
- DeepSeek-Coder: Slowing. awesome-gpt: Dormant. 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 awesome-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSeek-Coder trust report; awesome-gpt trust report.