Platypus, a programming language for Observability Data Pipeline, is mainly used for original and semi-structured data processing. Platypus can perform large-scale data analysis and feature extraction at edge nodes. Many extraction methods exist, such as Grok, JSON, and XML.

Features

• Ingest time-series data: Processing typically data types and format.
• Filter Data by control-flow statements: Supported if, for-in, and more. Make your pipeline more flexible.
• Integration out of the box: There are 10+ integrations and 40+ built-in functions. grok syntax is also compatible. Help you to start quickly.

Getting Started

There are the following ways to get started with Platypus Programming Language:

Links	Description
👨‍💻 Homepage	The homepage of Platypus Programming Language.
📥 Install	The guide to install Platypus locally.
👨‍🔧 Quick Start	The guide to writing your first Platypus pipeline code.
📚 Platypus Syntax	The reference documentation of Platypus specification.

Community

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Contributing

See our Contribution Guide to learn about our development lifecycle and make your first contribution.