Comparison
Awesome-Code-LLM vs CodeT5
Verdict
Pick Awesome-Code-LLM if awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers; pick CodeT5 if codeT5 is a large language model for code understanding and generation, developed by Salesforce, and is released under the BSD-3-Clause license.
Markdown twin · Awesome-Code-LLM alternatives · CodeT5 alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | Awesome-Code-LLM | CodeT5 |
|---|---|---|
| Maintenance | Dormant (635d since push) As of Sep 6, 2026 · github_public_v1 | Archived (84d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- Awesome-Code-LLM
- 👨💻 An awesome and curated list of best code-LLM for research.
- CodeT5
- Open Code LLMs for Code Understanding and Generation
Stars
- Awesome-Code-LLM
- 1.3k
- CodeT5
- 3.1k
Forks
- Awesome-Code-LLM
- 75
- CodeT5
- 486
Open issues
- Awesome-Code-LLM
- 5
- CodeT5
- 88
Language
- Awesome-Code-LLM
- -
- CodeT5
- Python
Adopt for
- Awesome-Code-LLM
- Awesome-Code-LLM is a curated repository focused on code-focused large language models (code-LLMs), providing insights into top-performing models, evaluation toolkits, and research papers.
- CodeT5
- CodeT5 is a large language model for code understanding and generation, developed by Salesforce, and is released under the BSD-3-Clause license.
Persona
- Awesome-Code-LLM
- -
- CodeT5
- -
Runtime
- Awesome-Code-LLM
- -
- CodeT5
- -
License
- Awesome-Code-LLM
- MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions.
- CodeT5
- CodeT5 is released under the BSD-3-Clause license, which allows for free use, modification, and distribution, provided that the original copyright notice and disclaimer are included.
Last pushed
- Awesome-Code-LLM
- Dec 10, 2024
- CodeT5
- Jun 25, 2026
Categories
- Awesome-Code-LLM
- Evaluation & Observability, LLM Frameworks
- CodeT5
- LLM Frameworks, Model Training
Trust and health
Maintenance
- Awesome-Code-LLM
- Dormant (18%)
- CodeT5
- Archived (8%)
Days since push
- Awesome-Code-LLM
- 635d
- CodeT5
- 84d
Archived on GitHub
- Awesome-Code-LLM
- No
- CodeT5
- Yes
Open issues (now)
- Awesome-Code-LLM
- 5
- CodeT5
- 88
Stars delta
- Awesome-Code-LLM
- -1 (30d)
- CodeT5
- -5 (30d)
Open issues delta
- Awesome-Code-LLM
- +1 (30d)
- CodeT5
- 0 (30d)
Owner type
- Awesome-Code-LLM
- User
- CodeT5
- Organization
Full report
- Awesome-Code-LLM
- Trust report
- CodeT5
- Trust report
Choose Awesome-Code-LLM if…
- License: Awesome-Code-LLM is MIT, CodeT5 is BSD-3-Clause.
- Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs..
- Tags unique to Awesome-Code-LLM: awesome.
- Also covers Evaluation & Observability.
- When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.
When NOT to use Awesome-Code-LLM
- When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision.
- If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality.
- In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering
Choose CodeT5 if…
- License: CodeT5 is BSD-3-Clause, Awesome-Code-LLM is MIT.
- Requirements: Min 8 GB RAM; The model may require significant computational resources for training and inference..
- Tags unique to CodeT5: code-intelligence, code-understanding, language-model.
- Also covers Model Training.
- When you need a tool specifically for code understanding and generation tasks, as CodeT5 is designed with a focus on these areas.
When NOT to use CodeT5
- If your project involves promoting or profiting from violence, hate, division, environmental destruction, abuse of human rights, or the destruction of people's physical and mental health, as these are
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huybery/Awesome-Code-LLM) · observed Sep 20, 2026
- GitHub forks (huybery/Awesome-Code-LLM) · observed Sep 20, 2026
- Last push (huybery/Awesome-Code-LLM) · observed Dec 10, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (salesforce/CodeT5) · observed Sep 20, 2026
- GitHub forks (salesforce/CodeT5) · observed Sep 20, 2026
- Last push (salesforce/CodeT5) · observed Jun 25, 2026
- License file (BSD-3-Clause) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: Awesome-Code-LLM 1.3k · CodeT5 3.1k (synced Sep 20, 2026).
Common questions
- What is the difference between Awesome-Code-LLM and CodeT5?
- Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. CodeT5: Open Code LLMs for Code Understanding and Generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-Code-LLM over CodeT5?
- Choose Awesome-Code-LLM over CodeT5 when License: Awesome-Code-LLM is MIT, CodeT5 is BSD-3-Clause; Requirements: No specific requirements to use the repository for reference or evaluation, but contributions may involve technical knowledge and familiarity with code-LLMs.; Tags unique to Awesome-Code-LLM: awesome; Also covers Evaluation & Observability; When you need a comprehensive list of state-of-the-art code generation LLMs with performance metrics such as HumanEval.
- When should I choose CodeT5 over Awesome-Code-LLM?
- Choose CodeT5 over Awesome-Code-LLM when License: CodeT5 is BSD-3-Clause, Awesome-Code-LLM is MIT; Requirements: Min 8 GB RAM; The model may require significant computational resources for training and inference.; Tags unique to CodeT5: code-intelligence, code-understanding, language-model; Also covers Model Training; When you need a tool specifically for code understanding and generation tasks, as CodeT5 is designed with a focus on these areas.
- When should I avoid Awesome-Code-LLM?
- When looking for a tool that provides pre-trained models with built-in APIs or services, as Awesome-Code-LLM is primarily a directory/collection of information without direct service provision. If you require real-time interactive use-cases and need immediate API access to LLMs; this repository does not offer such functionality. In scenarios where you need a single end-to-end solution for training your own code generation models, as the platform is focused on aggregating third-party resources and research rather than offering
- When should I avoid CodeT5?
- If your project involves promoting or profiting from violence, hate, division, environmental destruction, abuse of human rights, or the destruction of people's physical and mental health, as these are
- Is Awesome-Code-LLM or CodeT5 more popular on GitHub?
- CodeT5 has more GitHub stars (3,093 vs 1,290). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-Code-LLM and CodeT5 open source?
- Yes - both are open-source projects on GitHub (Awesome-Code-LLM: MIT, CodeT5: BSD-3-Clause).
- Where can I find alternatives to Awesome-Code-LLM or CodeT5?
- GraphCanon lists graph-backed alternatives at Awesome-Code-LLM alternatives and CodeT5 alternatives (Awesome-Code-LLM markdown twin, CodeT5 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, Awesome-Code-LLM or CodeT5?
- Awesome-Code-LLM: Dormant. CodeT5: Archived. 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 Awesome-Code-LLM and CodeT5?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-Code-LLM trust report; CodeT5 trust report.