sigpyproc

sigpyproc#

A modern, object-oriented Python library for FRB and pulsar data analysis.

sigpyproc provides high-performance tools for manipulating pulsar and fast radio burst (FRB) data, combining a clean object-oriented API with Numba-accelerated kernels for time-critical workloads. Originally developed as a Python alternative to the SIGPROC filterbank toolbox, the project has evolved into an independent framework for structured pulsar/FRB data manipulation. Unlike full search pipelines such as SIGPROC or PRESTO, sigpyproc is not a complete searching software. Instead, it focuses on:

Precise data inspection, data format conversion and header manipulation
Fine-grained control/visualization of filterbank and time series data
Rapid experimentation prior to large-scale pipeline execution

This makes it particularly well suited for exploratory research, validation work, and a simple plug-and-play system with new modules and extensions.

Features#

Object-Oriented Design — Explicit data objects for SIGPROC filterbank, PSRFITS, TimeSeries.
High Performance — Critical paths implemented with Numba for speed without sacrificing clarity.
Structured Metadata — Explicit header schemas for metadata handling.
Modern Stack — Built with uv, enforced with ruff, and maintained with strict ty type checking.