Home/Compare/Awesome-Code-LLM vs CodeT5

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

Awesome-Code-LLM logo

Awesome-Code-LLM

huybery/Awesome-Code-LLM

★ 1.3kpushed Dec 10, 2024
vs
CodeT5 logo

CodeT5

salesforce/CodeT5

★ 3.1kpushed Jun 25, 2026

Trust & integrity

SignalAwesome-Code-LLMCodeT5
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

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 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.

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