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最新 — 90

This view contains entries created less than 90 days ago. The stored editorial content remains in English.

排序方式

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories.

该排名的计算方式

The descriptive index uses stored creation age, acquisition velocity, and measurable acceleration.

工具排名

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 原始值保留各自的数据窗口；计算变化需要 7 天内至少两次测量。

  1. 1

    智能体
    活跃

    A Kiro power that turns Kiro into a personal study companion for any AWS certification exam

    许可证: MIT
    • agentic-ai
    • certification
    • genai
    • kiro

    github实测增长Measured age: 85 days0 GitHub 星标 per day over 4 days

    Daily change is identical across the last two measured intervals.

    Descriptive emergence index : 1.9/100打开来源 ↗

    52GitHub 星标稳定
  2. 2

    其他
    活跃

    Move whole tables between databases fast — Postgres, MySQL, ClickHouse, BigQuery. Rust engine, one-line Python API, bounded memory.

    Rust许可证: MIT
    • benchmark
    • bigquery
    • clickhouse
    • data-engineering
    • data-ingestions

    github实测增长Measured age: 55 days0 GitHub 星标 per day over 6 days

    Daily change is identical across the last two measured intervals.

    Descriptive emergence index : 13.6/100打开来源 ↗

    52GitHub 星标稳定
  3. 3

    智能体
    活跃

    Upload spreadsheets, ask questions via chat, and auto-generate chart reports. No coding required, gain instant insights and unlock data value effortlessly. ｜上传表格，像聊天一样提问，系统自动分析生成图表报告。无需编程，即时洞察，数据价值触手可及。

    TypeScript许可证: GPL-3.0
    • ai
    • ai-agents
    • data-engineering
    • data-science
    • database

    github估算动量Measured age: 36 days1.42 GitHub 星标 per day over 36 days

    Acceleration cannot be measured yet: three snapshots are required.

    Descriptive emergence index : 24.2/100打开来源 ↗

    51GitHub 星标—
  4. 4

    模型
    未知最近提交：暂无数据
    许可证: Apache-2.0
    • gguf
    • qwen
    • qwen3.5-4b
    • qwen3.5-4b_4bit_gguf
    • text-generation

    huggingface实测增长Measured age: 56 days-1.17 Hub 30 天下载量 per day over 6 days

    Daily change increased by 0.99 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 13.3/100打开来源 ↗

    Transformers 标识符 Elmermoreno/qwen3.5-4b-gguf

    81Hub 30 天下载量-7 (-8.0 %)
  5. 5

    模型
    未知最近提交：暂无数据
    许可证: Apache-2.0
    • gguf
    • quantized
    • danbooru
    • image-tagging
    • stable-diffusion

    huggingface实测增长Measured age: 57 days19.66 Hub 30 天下载量 per day over 6 days

    Daily change increased by 111.49 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 27.1/100打开来源 ↗

    Transformers 标识符 cooperdk/BooruNL-0.8B-GGUF

    409Hub 30 天下载量+118 (+40.5 %)
  6. 6

    模型
    未知最近提交：暂无数据
    许可证: Apache-2.0
    • transformers
    • safetensors
    • dendro_omni
    • text-generation
    • phillnet

    huggingface实测增长Measured age: 23 days5.33 Hub 30 天下载量 per day over 6 days

    Daily change increased by 0.08 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 28.8/100打开来源 ↗

    Transformers 标识符 ayjays132/Phillnet-Mini-Omni-Max

    2 143Hub 30 天下载量+32 (+1.5 %)
  7. 7

    模型
    未知最近提交：暂无数据
    许可证: Apache-2.0
    • safetensors
    • qwen3_5
    • gguf
    • quantized
    • danbooru

    huggingface实测增长Measured age: 57 days2.83 Hub 30 天下载量 per day over 6 days

    Daily change decreased by 39.95 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 14.3/100打开来源 ↗

    Transformers 标识符 cooperdk/BooruNL-0.8B

    709Hub 30 天下载量+17 (+2.5 %)
  8. 8

    模型
    未知最近提交：暂无数据
    许可证: Apache-2.0
    • transformers
    • safetensors
    • qwen3_5_moe
    • image-text-to-text
    • structured-prompt

    huggingface实测增长Measured age: 39 days-18.16 Hub 30 天下载量 per day over 6 days

    Daily change increased by 25.14 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 21.8/100打开来源 ↗

    Transformers 标识符 heheyas/SP-PE-Qwen3.5-35B-A3B

    968Hub 30 天下载量-109 (-10.1 %)
  9. 9

    模型
    未知最近提交：暂无数据
    • transformers
    • gguf
    • text-to-image
    • text-generation
    • image-to-text

    huggingface实测增长Measured age: 65 days6.99 Hub 30 天下载量 per day over 4 days

    Daily change increased by 0.14 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 13.3/100打开来源 ↗

    Transformers 标识符 mradermacher/Clair-3B-health-GGUF

    102Hub 30 天下载量+28 (+37.8 %)
  10. 10

    模型
    未知最近提交：暂无数据
    许可证: MIT
    • transformers
    • multi_modality
    • janus
    • multimodal
    • text-to-image

    huggingface实测增长Measured age: 5 days1 Hub 30 天下载量 per day over 3 days

    Daily change increased by 1.02 Hub 30 天下载量/day between the last two measured intervals.

    Descriptive emergence index : 33.7/100打开来源 ↗

    Transformers 标识符 kiel2/KielGen-Fast

    321Hub 30 天下载量+3 (+0.94 %)

学习与参考资源

Ranked by known GitHub stars, highest first; archived repositories come after maintained repositories. 这些资源可单独访问，不参与主要排名。

  1. 1

    awesome-loop-engineering

    技能
    活跃打开来源 ↗

    Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill

    HTML许可证: MIT
    • agent-skills
    • agentic-workflows
    • ai-agents
    • claude-code
    • codex
    github

    安装 git clone https://github.com/invincible04/awesome-loop-engineering ~/.claude/skills/awesome-loop-engineering

    资源实测增长
    55GitHub 星标+1 (+1.9 %)
  2. 2

    ai-agent-architecture

    其他
    活跃打开来源 ↗

    Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips

    HTML
    • a2a-protocol
    • ai
    • ai-agents
    • context-engineering
    • distributed-systems
    github资源实测增长
    46GitHub 星标稳定
  3. 3

    awesome-ecom-skills

    技能
    活跃打开来源 ↗

    Shopify's AI toolkit gives your agent the API. These 9 skills give it the judgment: the Matrixify blank-cell trap, category IDs you never guess, SEO backfill that won't clobber human copy.

    Shell许可证: MIT
    • agent-skills
    • claude-code
    • claude-skills
    • ecommerce
    • json-ld
    github

    安装 git clone https://github.com/kgelster/awesome-ecom-skills ~/.claude/skills/awesome-ecom-skills

    资源实测增长
    45GitHub 星标+1 (+2.3 %)