Barchart Launched cmdtyView Labs Developer Platform
The new platform provides programmatic access to commodity market data for custom analytical environments.
Updated on Oct. 13, 2026 in Software
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Barchart has released cmdtyView Labs, a platform designed to provide developers and quantitative analysts with direct, programmatic access to commodity market data. The service requires an active cmdtyView Labs subscription alongside a cmdtyView Desktop installation.
Why it matters
Market professionals increasingly require the ability to integrate live commodity data directly into proprietary analytical models and custom applications. This platform provides that capability to bridge the gap between static data terminals and custom development.
The platform supports six programming languages via dedicated software development kits, including Python, C#/.NET, Java, Go, JavaScript, and Rust. Users can stream real-time quotes and historical data through WebSocket connections and HTTP JSON endpoints.
The players
Barchart
A provider of data, software, and technology services for the global commodity, futures, and financial markets.
The details
The platform functions by establishing a local connection between the user's development environment and the cmdtyView Desktop application. Data is transmitted via a Protocol Buffer feed—a language-neutral mechanism for serializing structured data—managed by an embedded local proxy that handles authentication and permissions. This setup allows analysts to pull forward curves, options analytics, and time series directly into their local codebases.
Timeline
October 13, 2026: Barchart announced the launch of cmdtyView Labs.
The Tech Race
This release follows the industry standard set by the Bloomberg Terminal API, which serves as the primary benchmark for programmatic financial data access. Barchart is positioning its platform to capture similar demand for automated, model-driven commodity trading workflows.
Professional developers and analysts can now incorporate live commodity data directly into their existing Python, Java, or Rust workflows. Users must maintain both a desktop license and the new labs subscription to enable the local data proxy.
The takeaway
The move enables more sophisticated, automated commodity trading strategies by removing manual data entry hurdles. Developers should monitor for future SDK updates or expanded coverage of asset classes as Barchart iterates on the platform.
Further reading
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Do you prefer professional data platforms to connect locally rather than through cloud-based enterprise APIs?
