Pydantic
pydantic.devValidate Python data against typed models and generate matching JSON Schema.
Validate Python data against typed models and generate matching JSON Schema.
Load, reshape, and analyze labeled tabular and time-series data with Python.
Build coordinate-based weather requests from current conditions and selectable hourly or daily forecast variables.
Ingest streaming or batch data into an analytics database built for fast interactive queries.
Fully managed vector database for AI, with automatic indexing and fast search.
Monitor public-facing infrastructure and certificate configuration
Crypto market and blockchain metrics with documented historical data methods
Data layer that turns public information into verified, structured facts for AI agents.
Marketplace of ready-to-run tools for AI agents and apps
Unify B2B data relationships for attribution, account engagement and revenue analysis.
Analytics platform for humans and agents
A prompt engineering workspace for comparing models and refining AI workflows
Inspect, reshape and query tabular files from a composable command-line toolkit.
Compare ETF peers and bring structured fund data into research systems
An interactive browser notebook for mixing executable code, narrative, and rich results in one computational document.
Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Build customer-facing integrations with managed authentication, API access, syncs, webhooks, and TypeScript functions.
A private-first, Toggl-compatible time tracker that can be self-hosted or used as a hosted service.
Searchable climate law, policy and finance data
Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.
Combine historical prices, fundamentals and financial news in data projects
Add interactive dashboards and data exploration to an existing software application.
Study an exploratory Python engine for historical equities tests