CSFanalyser

CSFanalyser is a software tool designed to analyze data in computer science contexts, including student submissions, algorithm performance, and online community metrics. It targets educators, researchers, and software engineers who need structured insights from diverse data sources such as version control repositories, automated test results, and platform analytics.

Key features include configurable data import adapters, a metric-friendly data model, customizable dashboards, statistical analysis, anomaly detection, and export options (CSV, JSON). The tool supports visualizations such as time-series graphs, distributions, and heatmaps, and offers a plugin system for extending functionality.

CSFanalyser follows a modular architecture with a data ingestion layer, processing layer, and presentation layer. It can run locally or in the cloud, and stores data in relational databases with optional caching. Core components are written in Python, with performance-sensitive parts implemented in Rust or C++. It emphasizes reproducibility through versioned configurations.

Typical use cases include monitoring submission latency and pass rates in programming courses, benchmarking algorithm implementations, and tracking engagement metrics on learning platforms. It is designed to be privacy-conscious, with support for data access controls and anonymization where appropriate.

CSFanalyser is released as open-source under a permissive license and hosted on a code repository. Documentation, example datasets, and community support resources are provided to assist adoption by institutions and researchers.