A self-hosted platform for custom scripting, advanced scheduling and scalable real-time analytics, built to integrate with your existing data environment.
Everything you need in a modern calculation engine.
Natural (event based) clock and cron based schedules can be configured. Multiple schedules can be created for individual requirements
Run calculations in the context of your operational assets or logical groupings, allowing scalable analytics that reflect real-world structure
Highly configurable logging engine for detailed diagnostics, auditability, and debugging. Gain insight into calculation history and system behaviour without performance trade-offs
Includes a native library of built-in functions for common mathematical, statistical and data manipulation operations
Run calculations in the context of your operational assets or logical groupings, allowing scalable analytics that reflect real-world structure
Integrates with Python to retain your investments in Python-based logic by scheduling the execution of existing script functions
Connects with AVEVA PI and Canary Labs, supporting calculations dependent on historical trends and time-series data
Maintain and migrate legacy calculation logic using a compatibility layer designed to preserve previous investments in custom script structures
How gSharp brings your real-time data to life with flexible, on-premise analytics – custom scripts, machine learning techniques and automation made simple.
Connect with PI AF and Data Archive. A smooth transition from PI ACE to modern, sustainable analytics.
Automate calculations and processes, reducing manual effort and minimising errors in data management.
Meet growing datasets with customisable templates and workflows tailored to your unique business needs.
Build on a flexible and future-proof framework that ensures long-term viability and adapts to evolving technology.
As long as the source code is available, it can be easily recompiled into a fully-supportable gSharp calculation.
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