FlatBuffers
flatbuffers.devGenerate typed accessors for compact serialized data that applications can read directly from a buffer.
Generate typed accessors for compact serialized data that applications can read directly from a buffer.
Serialize and deserialize Rust data structures through a shared data-model framework.
Retrieve current conditions, forecasts, history and location data through one weather-focused REST API.
Research international banking, liquidity and financial-market statistics
Bring Canadian fund prices and holdings into institutional systems
Build reusable visual workflows to prepare, analyze and chart business data.
Build self-hosted dashboards and reports on modeled business data, with server-based licensing.
Collect marketing and commerce data for dashboards, reports and analytical exports.
Analyze supplied data in a statistical spreadsheet and save the data, settings and results together.
Lyon's metropolitan data catalogue and reuse guidance
Build serverless GraphQL and real-time Pub/Sub APIs over multiple data sources.
Use desktop chart studies with explicit exchange-data options
Access market history through APIs, files or SQL
Explore defined Bitcoin metrics and download the underlying chart data
Convert and transform structured data with visible intermediate steps
Build and share visual reports connected to spreadsheets, marketing data and databases.
Collect customer events and supply consistent data to analytical and business destinations.
Prepare connected marketing data for warehouse reports and AI analysis.
Serialize structured data with schemas and compact binary encoding across supported programming languages.
Request market prices and company data through a developer API
Select market datasets by instrument, interval and observation type
A reactive Python notebook editor that saves notebooks as ordinary Python files.
Collect, harmonize and monitor marketing data before it reaches reporting systems.
Explore warehouse data in workbooks and build analytical applications around it.