AI Hippo

AI Hippo

Hungry for Data, Open for All

Seis rankings (Modelos, Agentes, LLM, Toolchains, provedores de tokens, agregadores de modelos) com dados de exemplo renderizados em HTML no build.

A escolha do Hippo

A escolha do Hippo
Maior crescimento hoje (GitHub dia a dia primeiro, senão HF 24h)

gemma-4-E4B-it

google

Crescimento +72,0%
Abrir repositório / ficha do modelo

Rankings

Pilares

  • Estático primeiro

    HTML no build: SEO, CDN e edge.

  • Seis rankings

    Modelos, agentes, LLM, toolchains, tokens e agregadores em um só site.

  • Dados evolutivos

    Altere JSON; CI para atualizações programadas.

Audience

  • Engineering and product teams comparing models, agents, and toolchains
  • Researchers, advocates, and contributors tracking OSS and GitHub activity
  • Teams publishing eval or aggregation results as static, indexable pages
  • Organizations requiring auditable methodology and source citations alongside metrics

De dados a páginas

  1. Mantenha ou gere JSON em data/rankings.
  2. Execute Astro para rotas com prefixo de idioma.
  3. Implante em hospedagem estática (ex.: Cloudflare Pages); Actions opcional para dados.

Use cases

  • Product and roadmap

    Cross-check model capability, agent completion, LLM instruction and reasoning, and toolchain coverage across four boards; the same vendor may appear on multiple boards to align releases and engineering effort.

  • Evaluation and reproducible publishing

    With fixed task suites and scoring scripts, wire JSON from the pipeline and pin versions, weights, and seeds in Methodology; publish sub-scores and failure cases where appropriate.

  • Open-source ecosystems

    Leaderboards emphasize capability and delivery; GitHub trends emphasize community activity—they complement each other. High stars do not imply top benchmark scores; sustained maintenance and discussion often signal adoption.

  • Communications and compliance

    Static pages serve as citeable snapshots: retain URLs, fetch times, and licenses on Sources; FAQ clarifies the boundary between sample and production data.

Alcance

Os rankings são de exemplo; substitua pelo seu avaliador e atualize Metodologia e Fontes antes da produção.

Documentação