Die Werkzeugbeschreibungen sind auf Englisch.

Neueste : 90

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

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Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang.

Wie diese Rangfolge berechnet wird

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

Werkzeug-Rangliste

Geschätzte Rangfolge: Für eine Messung sind zwei tägliche Werte nötig. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

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    Aktiv

    The self-hosted Linktree alternative. Import from any competitor in 30 seconds. Multi-page, privacy-respecting analytics, one-line install.

    githubgeschätztes MomentumMeasured age: 69 days3.25 GitHub-Sterne per day over 69 days

    Acceleration cannot be measured yet: three snapshots are required.

    Descriptive emergence index : 11/100Quelle öffnen ↗

    224GitHub-Sterne·
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    Plays SVGs that declare their own animation (SMIL or CSS keyframes) on top of the vector_graphics renderer that flutter_svg uses.

    githubgeschätztes MomentumMeasured age: 22 days6.36 GitHub-Sterne per day over 22 days

    Acceleration cannot be measured yet: three snapshots are required.

    Descriptive emergence index : 33/100Quelle öffnen ↗

    140GitHub-Sterne·
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    Dalaran — Apache-2.0, robotics-first visualization and data infrastructure for multimodal time-series. ROS 2 native, reads existing .rrd recordings. A hard fork of Rerun.

    githubgeschätztes MomentumMeasured age: 30 days25.8 GitHub-Sterne per day over 30 days

    Acceleration cannot be measured yet: three snapshots are required.

    Descriptive emergence index : 38.5/100Quelle öffnen ↗

    774GitHub-Sterne·
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    A browser-based 3D director desk demo built with React, Vite, and Three.js.

    githubgeschätztes MomentumMeasured age: 62 days11.95 GitHub-Sterne per day over 62 days

    Acceleration cannot be measured yet: three snapshots are required.

    Descriptive emergence index : 18.6/100Quelle öffnen ↗

    741GitHub-Sterne·

Lern- und Referenzressourcen

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

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    AktivQuelle öffnen ↗

    50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.

    github

    Installieren git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observability

    Ressourcegemessenes Wachstum
    33GitHub-Sterne+2 (+6.5 %)
  2. 2
    AktivQuelle öffnen ↗

    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.

    github

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

    Ressourcegemessenes Wachstum
    45GitHub-Sterne+1 (+2.3 %)
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    AktivQuelle öffnen ↗

    A market-driven Product Manager copilot (Agent Skills + Claude Code plugin) based on the Pragmatic Framework — guides PMs from idea to launch and produces a client-ready artifact (Markdown or .docx) at every stage.

    github

    Installieren /plugin marketplace add julianoczkowski/product-manager

    Ressourcegemessenes Wachstum
    31GitHub-Sterne+2 (+6.9 %)