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Introduction
Flow is a PHP based, strongly typed data processing framework with low memory footprint.

Flow PHP

Flow is a PHP based, strongly typed data processing framework with low memory footprint.

Supported PHP versions:

  • 8.1 - going to be removed soon
  • 8.2
  • 8.3
  • 8.4

Key Features

  • Low memory footprint: Optimized for efficiency, Flow PHP ensures minimal memory usage, maintaining low and constant consumption regardless of data size. This makes it ideal for handling large datasets without compromising performance.
  • Versatile Data Source Interaction: Whether your data resides in databases, spreadsheets, or online platforms, Flow PHP can seamlessly read from and write to any data source.
  • Rich Collection of Data Transformation Functions: Transform your data with ease using a wide array of built-in functions. From simple mapping to complex manipulations, the framework covers all your data transformation needs.
  • Direct Access to Remote Filesystems: Flow PHP provides the ability to interact directly with remote filesystems, facilitating efficient data handling and processing without the need for local storage.
  • Advanced Data Partitioning: Efficiently partition your data for improved manageability and processing. This feature is crucial for handling large datasets or for processing data in distributed systems.
  • Grouping & Aggregating: Easily group and aggregate data to extract meaningful insights. This feature is particularly useful for summarizing datasets and performing statistical analysis.
  • Remote File Processing: Process files stored remotely with the same ease as local files, enabling powerful and flexible data integration from various sources.
  • Join Operations: Perform join operations between different datasets. This is essential for combining data from multiple sources, providing a more comprehensive view.
  • Efficient Sorting: Sort your data based on specific criteria or conditions, ensuring that your datasets are organized precisely as needed.
  • ASCII Table Display: Visualize your datasets as neatly formatted ASCII tables, making it easier to read and analyze data directly from the console.
  • Schema Validation: Ensure data quality and consistency by validating your datasets against predefined schemas.
  • Window Functions: Utilize window functions for advanced data analysis, allowing you to perform calculations across sets of rows that are related to the current row.
  • Built-In Caching Mechanism: Improve performance with built-in caching, reducing processing time and enhancing overall efficiency, especially in repetitive data processing tasks.