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Create and animate 3D content with generation tools, a model library, and SDKs.

Runs open models locally and exposes a developer interface for using them from apps and coding tools.

Validate Python data against typed models and generate matching JSON Schema.

Call models from multiple inference providers through Hugging Face's shared SDK and API interface.

Build coordinate-based weather requests from current conditions and selectable hourly or daily forecast variables.

Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.

Organise a creator model with its instructions, then choose individual or membership access

Governor grounds coding agent requests in your code and routes them to the best model

Preview a 3D model before exporting another format

Embed Git repository operations in applications with a cross-platform, linkable C library.

Browse member-made CAD models with separate personal and commercial rights

A prompt engineering workspace for comparing models and refining AI workflows

Experiment with financial language models, sentiment and forecasts

An LLM request gateway and dashboard for tracing calls, latency, and model spend.

Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.

Composes Python components into retrieval, search, and agent pipelines for AI applications.

Model-based end-to-end test automation for enterprise applications and business workflows.

Model fine-grained authorization as relationships and check whether a user can act on an object.

Private AI workspace, agents, model gateway, and knowledge layer

One chat for dozens of AI models, from $20 a month

Open-source platform to build AI agents, workflows and apps with your data

Search book and author records in batches and return work, edition, and cover identifiers.

Build interactive terminal applications in Go with an event-driven model, update, and view loop.

Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.