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Données ouvertes

Bibliothèque

Jeux de données ouverts, entièrement documentés — interrogeables ici, et lisibles par n’importe quel LLM.

Les titres et les descriptions proviennent des sources de données, en anglais.

2 jeux de données

cli
  • Homebrew formula install velocity (agent-curated)

    Homebrew formula install velocity (monthly)

    Monthly install-velocity ranking of Homebrew formulae in the developer/data-tool ecosystem. The public keyless formulae.brew.sh analytics API supplies per-formula install-on-request counts (direct user installs, not dependency pulls) for the trailing 30d, 90d and 365d windows; the official formula.json supplies the metadata (description, license, homepage, version, oldnames/aliases, deprecated/disabled flags). Transform: (1) entity resolution — analytics names resolve onto canonical homebrew/core formula names via oldnames and aliases (third-party-tap installs such as hashicorp/tap/terraform are out of scope and dropped with a logged count); (2) quality gates — deprecated/disabled formulae dropped, description required, 30d on-request installs >= 1000, versioned formulae (names containing '@', e.g. python@3.13) excluded as out of scope; (3) a curated 16-category taxonomy by a deterministic ordered rule set over formula name + description (machine-learning, database, data-format, data-tool, visualization, cloud-devops, build-tools, programming-language, terminal, version-control, editor, compression, security, network, media, cli-utilities; formulae matching none are dropped as out of scope); (4) scoring — velocity_score = min-max-normalized log10(1 + installs_30d), growth_score = min-max-normalized growth of installs_30d versus the annualized 365d baseline (clipped to -100%/+1000%; new entrants pinned to the cap and flagged), trend_score = their 50/50 composite (0-100), trend_rank orders by trend_score descending (ties: installs_30d desc, then formula name), plus a pure-popularity velocity_rank, momentum_vs_quarter (30d vs the 90d mean month), and a breakout flag (>= 200% above baseline or new entrant). Every row carries the exact source API URLs behind its values. fetched_at is the analytics window end date (UTC day granularity), so re-ingesting the same window is a no-op. Primary key: (month, formula_name). Cadence: monthly. Nullability: license_id and homepage_url may be empty when upstream supplies none; scores and ranks are never null. Caveats: on-request installs still include some automated traffic (dotfile bootstraps); the taxonomy is a first-match heuristic, not an authoritative classification; license ids are maintainer-supplied and informational only. Sample use: order by trend_rank for the month's fastest-rising dev tools, or filter category = 'database'.

    • technology
    • signals
    • monthly
    • packages
    lignes
    467
    Qualité
    100
    Mis à jour
    25 sept. 2026
    À jour
    Licence
    Usage commercial OK
  • OECD Business-Cycle Signals (derived)

    OECD business-cycle signals (CLI turning points, trend gaps, expansion/contraction phases)

    Signals derived from the OECD Composite Leading Indicator (amplitude adjusted, monthly): CLI distance from long-term trend (cli_gap vs 100), 3/6-month momentum, turning-point detection (peaks/troughs of the smoothed CLI), expansion/contraction phase flags, below-trend streaks, 30-month annualized volatility of CLI changes, 3-sigma anomaly flags, naive-drift 1-month forecasts and a per-month cross-country volatility rank. Covers 18 countries (AUS, BRA, CAN, CHN, DEU, ESP, FRA, GBR, IDN, IND, ITA, JPN, KOR, MEX, TUR, USA, ZAF plus aggregates G20, G7, NAFTA, A5M, G4E), monthly 1955 -> present. All rows carry canonical country_code so they join cleanly with country-keyed macro data. Raw series: OECD Data Explorer (Main Economic Indicators).

    • business-cycle
    • leading-indicator
    • cli
    • oecd
    lignes
    14 263
    Qualité
    97
    Mis à jour
    22 sept. 2026
    À jour
    Licence
    Usage commercial interdit

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