Home/Compare/AstrBot vs Awesome-Code-LLM

Comparison

AstrBot vs Awesome-Code-LLM

Verdict

Pick AstrBot if astrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license; 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.

Markdown twin · AstrBot alternatives · Awesome-Code-LLM alternatives

GraphCanon updated today

AstrBot logo

AstrBot

AstrBotDevs/AstrBot

36kpushed Jul 9, 2026
vs
Awesome-Code-LLM logo

Awesome-Code-LLM

huybery/Awesome-Code-LLM

1.3kpushed Dec 10, 2024

Trust & integrity

SignalAstrBotAwesome-Code-LLM
Maintenance
Very active (2d since push)
As of today · github_public_v1
Dormant (578d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No lockfile
As of today · none

Tagline

AstrBot
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature
Awesome-Code-LLM
👨💻 An awesome and curated list of best code-LLM for research.

Stars

AstrBot
36k
Awesome-Code-LLM
1.3k

Forks

AstrBot
2.5k
Awesome-Code-LLM
74

Open issues

AstrBot
1.3k
Awesome-Code-LLM
3

Language

AstrBot
Python
Awesome-Code-LLM
-

Adopt for

AstrBot
AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license.
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.

Persona

AstrBot
-
Awesome-Code-LLM
-

Runtime

AstrBot
-
Awesome-Code-LLM
-

License

AstrBot
AGPL-3.0
Awesome-Code-LLM
MIT License: Permissive open-source license that allows usage in virtually any project with little restrictions.

Last pushed

AstrBot
Jul 9, 2026
Awesome-Code-LLM
Dec 10, 2024

Categories

AstrBot
LLM Frameworks, AI Agents
Awesome-Code-LLM
LLM Frameworks, Evaluation & Observability

Trust and health

Maintenance

AstrBot
Very active (96%)
Awesome-Code-LLM
Dormant (18%)

Days since push

AstrBot
2d
Awesome-Code-LLM
578d

Open issues (now)

AstrBot
1.3k
Awesome-Code-LLM
3

Owner type

AstrBot
Organization
Awesome-Code-LLM
User

Security scan

AstrBot
No MCP manifest
Awesome-Code-LLM
No lockfile

Full report

Awesome-Code-LLM
Trust report

Choose AstrBot if…

  • License: AstrBot is AGPL-3.0, Awesome-Code-LLM is MIT.
  • Tags unique to AstrBot: ai, gemini, docker, discord.
  • Also covers AI Agents.
  • AstrBot ships Docker support for self-hosted deployment.
  • When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.

When NOT to use AstrBot

  • If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development.
  • In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad,
  • +adaptability.

Choose Awesome-Code-LLM if…

  • License: Awesome-Code-LLM is MIT, AstrBot is AGPL-3.0.
  • 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, large-language-models, code-generation.
  • 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AstrBot 36k · Awesome-Code-LLM 1.3k (synced Jul 11, 2026).

Common questions

What is the difference between AstrBot and Awesome-Code-LLM?
AstrBot: AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature. Awesome-Code-LLM: 👨💻 An awesome and curated list of best code-LLM for research.. See the comparison table for live GitHub stats and shared categories.
When should I choose AstrBot over Awesome-Code-LLM?
Choose AstrBot over Awesome-Code-LLM when License: AstrBot is AGPL-3.0, Awesome-Code-LLM is MIT; Tags unique to AstrBot: ai, gemini, docker, discord; Also covers AI Agents; AstrBot ships Docker support for self-hosted deployment; When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.
When should I choose Awesome-Code-LLM over AstrBot?
Choose Awesome-Code-LLM over AstrBot when License: Awesome-Code-LLM is MIT, AstrBot is AGPL-3.0; 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, large-language-models, code-generation; 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 avoid AstrBot?
If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development. In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad, +adaptability.
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
Is AstrBot or Awesome-Code-LLM more popular on GitHub?
AstrBot has more GitHub stars (36,186 vs 1,288). Stars measure visibility, not whether either tool fits your constraints.
Are AstrBot and Awesome-Code-LLM open source?
Yes - both are open-source projects on GitHub (AstrBot: AGPL-3.0, Awesome-Code-LLM: MIT).
Where can I find alternatives to AstrBot or Awesome-Code-LLM?
GraphCanon lists graph-backed alternatives at AstrBot alternatives and Awesome-Code-LLM alternatives (AstrBot markdown twin, Awesome-Code-LLM 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, AstrBot or Awesome-Code-LLM?
AstrBot: Very active. Awesome-Code-LLM: 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 AstrBot and Awesome-Code-LLM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AstrBot trust report; Awesome-Code-LLM trust report.