Comparison
awesome-claude-code vs semble
Verdict
Pick awesome-claude-code if awesome-claude-code is a curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC, aimed at optimizing workflows and providing high-quality developer tooling; pick semble if semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Markdown twin · awesome-claude-code alternatives · semble alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | awesome-claude-code | semble |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Active (10d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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-claude-code
- A curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC.
- semble
- Fast and Accurate Code Search for Agents
Stars
- awesome-claude-code
- 52k
- semble
- 5.9k
Forks
- awesome-claude-code
- 4.6k
- semble
- 256
Open issues
- awesome-claude-code
- 861
- semble
- 3
Language
- awesome-claude-code
- Python
- semble
- Python
Adopt for
- awesome-claude-code
- awesome-claude-code is a curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC, aimed at optimizing workflows and providing high-quality developer tooling.
- semble
- Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Persona
- awesome-claude-code
- -
- semble
- -
Runtime
- awesome-claude-code
- -
- semble
- -
License
- awesome-claude-code
- Other
- semble
- MIT
Last pushed
- awesome-claude-code
- Aug 16, 2026
- semble
- Aug 12, 2026
Categories
- awesome-claude-code
- AI Agents, Developer Tools
- semble
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- awesome-claude-code
- Very active (96%)
- semble
- Active (82%)
Days since push
- awesome-claude-code
- 0d
- semble
- 10d
Open issues (now)
- awesome-claude-code
- 861
- semble
- 3
Stars delta
- awesome-claude-code
- +2.2k (30d)
- semble
- +247 (30d)
Open issues delta
- awesome-claude-code
- +176 (30d)
- semble
- -4 (30d)
Owner type
- awesome-claude-code
- User
- semble
- Organization
Full report
- awesome-claude-code
- Trust report
- semble
- Trust report
Choose awesome-claude-code if…
- License: awesome-claude-code is Other, semble is MIT.
- Tags unique to awesome-claude-code: agent-skills, agentic-code, ai-workflow-optimization, anthropic-claude.
- Also covers Developer Tools.
- - When you require comprehensive resource lists specifically for integrating Claude Code into your development workflow.
When NOT to use awesome-claude-code
- - For general AI-agent resources that do not align with the specific functionalities or integrations provided by Anthropic PBC's Claude Code.
- - When you prefer a more generalized approach without specialized focus on Anthropic PBC’s AI coding companion.
Choose semble if…
- License: semble is MIT, awesome-claude-code is Other.
- Requirements: Operating with Python, Semble does not require Docker for its operation..
- Tags unique to semble: agents, code-search, embeddings, mcp.
- Also covers Data & Retrieval.
- - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
When NOT to use semble
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search.
- - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hesreallyhim/awesome-claude-code) · observed Aug 16, 2026
- GitHub forks (hesreallyhim/awesome-claude-code) · observed Aug 16, 2026
- Last push (hesreallyhim/awesome-claude-code) · observed Aug 16, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MinishLab/semble) · observed Aug 22, 2026
- GitHub forks (MinishLab/semble) · observed Aug 22, 2026
- Last push (MinishLab/semble) · observed Aug 12, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-claude-code 52k · semble 5.9k (synced Aug 16, 2026).
Common questions
- What is the difference between awesome-claude-code and semble?
- awesome-claude-code: A curated collection of resources for Claude Code, an AI coding companion from Anthropic PBC.. semble: Fast and Accurate Code Search for Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-claude-code over semble?
- Choose awesome-claude-code over semble when License: awesome-claude-code is Other, semble is MIT; Tags unique to awesome-claude-code: agent-skills, agentic-code, ai-workflow-optimization, anthropic-claude; Also covers Developer Tools; - When you require comprehensive resource lists specifically for integrating Claude Code into your development workflow.
- When should I choose semble over awesome-claude-code?
- Choose semble over awesome-claude-code when License: semble is MIT, awesome-claude-code is Other; Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: agents, code-search, embeddings, mcp; Also covers Data & Retrieval; - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
- When should I avoid awesome-claude-code?
- - For general AI-agent resources that do not align with the specific functionalities or integrations provided by Anthropic PBC's Claude Code. - When you prefer a more generalized approach without specialized focus on Anthropic PBC’s AI coding companion.
- When should I avoid semble?
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
- Is awesome-claude-code or semble more popular on GitHub?
- awesome-claude-code has more GitHub stars (52,394 vs 5,927). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-claude-code and semble open source?
- Yes - both are open-source projects on GitHub (awesome-claude-code: Other, semble: MIT).
- Where can I find alternatives to awesome-claude-code or semble?
- GraphCanon lists graph-backed alternatives at awesome-claude-code alternatives and semble alternatives (awesome-claude-code markdown twin, semble 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-claude-code or semble?
- awesome-claude-code: Very active. semble: Active. 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-claude-code and semble?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-claude-code trust report; semble trust report.