{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Provides a typed Python interface to models.dev, a community-maintained catalog of 2000+ LLM models from 75+ providers, with pricing, context limits, and capability metadata\u2014no HTTP calls needed.","skillfed_tags":["llm-models","metadata-catalog","offline-data"],"use_cases":["Look up pricing and context limits for a specific LLM model before making an API call.","Filter available models by capability (e.g., find all reasoning-enabled models across providers).","Build a model-selection tool that compares input/output costs or modality support.","Populate a UI dropdown or CLI menu with current provider and model names without external API calls.","Validate model names and provider identities in a local configuration file or request handler."],"what_it_does":"models-dev is a typed Python package that bundles the models.dev catalog\u2014a community-maintained registry of LLM models\u2014as local data. Instead of making HTTP calls to fetch model metadata, you import and query structured Python objects for provider information, pricing, context limits, modalities, and capabilities. The package is designed to stay in sync with the upstream catalog through hourly update checks and frequent releases.\n\nIt has zero runtime dependencies and ships as a ~75 KB wheel, making it lightweight and easy to integrate into projects that need to reference LLM model details at runtime\u2014such as prompt engineering frameworks, cost calculators, or model-selection logic. The data is pre-typed, so IDEs and type checkers can validate queries.","worth_installing":"Yes, if you need offline access to LLM model metadata. The package is lightweight, actively maintained, has no dependencies, and covers a broad catalog (2000+ models from 75+ providers). Install it when you want to avoid HTTP calls for model lookups or need typed access to pricing and capability data. Not necessary if you only work with one provider's SDK or rarely need to query model details."},"id":"models-dev","links":{"html":"https://skillfed.io/packages/models-dev","md":"https://skillfed.io/packages/models-dev.md","pypi":"https://pypi.org/project/models-dev/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-21","license_spdx":"MIT","license_treatment":"permissive","name":"models-dev","python_support":"supports_current","summary":"Typed Python interface to models.dev API data"},"popularity":{"monthly_downloads":142328,"position":11212,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.398"}