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Python APIs for EDA Workflows
Enabling efficient workflows and inter-connected design processes
Highlights
Increase productivity and organizational efficiency, by tailoring your electronic design automation (EDA) solutions into efficient workflows and inter-connected design processes.
Automation and API-based workflows are a cornerstone in digital transformation. With Python application programming interfaces (APIs) for Keysight’s EDA tools, you can control data, simulators, platforms and processes to engineer more predictable outcomes. Examples of use-cases include:
- Post-Processing Simulation Data – Enabling data manipulation in a prevalent language, supported by a wealth of open-source code.
- Automate repetitive tasks – Generate documentation from simulation results, build a design-regression system, or add greater simulation coverage, without tying up engineers time.
- Increase Design and Test efficiency – connect to test equipment to push / pull waveforms, data, measurements.
- Connect best-in-class simulators, across multiple EDA vendors to create efficient workflows and manage the data as you see best fit.
- Connect AI/ML pipelines to your simulation data, and take advantage of technology advances without delay.
Learn about Python Datalink in ADS
Increase Productivity
Using Python API’s for EDA workflows, the processes involving EDA software can be automated reducing tedious work and human error. These Python APIs enable you to do more design verification giving you greater confidence for first-time right production, bringing your products to market faster at less cost.
Application Examples of Python APIs
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