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.
- 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.
groksyntax is also compatible. Help you to start quickly.
There are the following ways to get started with Platypus Programming Language:
| Links | Description |
|---|---|
| π¨βπ» Homepage | The homepage of Platypus Programming Language. |
| π₯ Install | The guide to install Platypus locally. |
| π¨βπ§ Quick Start | The guide to writing your first Platypus pipeline code. |
| π Platypus Syntax | The reference documentation of Platypus specification. |
See our Contribution Guide to learn about our development lifecycle and make your first contribution.