pypipa 0.0.4

Platform Integrated Performance Analytics, PIPA

PIPA-TREE

PIPA-TREE is a part of PIPA (Platform Integrated Performance Analytics).

PIPA-TREE is a Python-based project designed to collect, integrate, and analyze data across various platforms including x86_64, ARM, and RISC-V. It utilizes various tools such as perf, sar, and others to achieve its objectives.

Features

• Data Collection: PIPA can collect data from a variety of sources, using tools like perf, sar, and more. It supports multiple platforms including x86_64, ARM, and RISC-V, making it versatile and adaptable.
• Perf Record Data: PIPA is capable of collecting and parsing perf record data, providing detailed performance metrics.

Installation

PIPA can be easily installed using pip:

pip install pipa

Usage

After installation, you can start using PIPA to collect, integrate, and analyze your data.

from pipa.service.run import run_and_collect_all

sar_df_list, perf_stat_df, perf_script_df = run_and_collect_all(
        "perf bench futex hash"
)

structure

pipa-tree
├── asset # images, icons, or other files used in the project
├── data  # store data related to the project
│   ├── dump # dump from sar/perf etc 
│   └── out # store processed or generated data as output
├── pipa # py package
│   ├── command # command-related code
│   ├── common # shared or common code used across the subpackage
│   ├── parser # code related to parsing
│   ├── service # providing services or functionalities
│   └── system_info # gathering system information
├── script # scripts to collect data
├── test # testing the project's functionality
└── doc # user manuals, API documentation, design documents, etc

Build

To build PIPA, you can use the python command with the build module: python -m build, we use hatchling as the build backend.

Contributing

Contributions to PIPA are always welcome. Whether it's feature enhancements, bug fixes, or documentation, your contributions are greatly appreciated.