denet, A lightweight command-line tool for process monitoring in benchmarking and beyond
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911627422466048 |
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| author | Carrillo, Ben Mallona, Izaskun |
| author_facet | Carrillo, Ben Mallona, Izaskun |
| contents | Summary: denet is a lightweight process monitoring tool providing real-time resource profiling of running processes. It reports CPU, memory, disk I/O, network activity, and thread usage, including recursive child monitoring, with adaptive sampling rates. denet exposes two interfaces: a CLI with colorized output and a Python API. Output format is JSONL. Each record carries performance metrics and process metadata (PID and the executed command). Structured output makes denet suitable for benchmarking and tuning data-intensive pipelines in bioinformatics and beyond. We provide CLI and API examples, including a bioinformatics workflow in Snakemake, showcasing denet's diagnostic properties.
Availability and implementation: denet is open-source software released under the GPLv3 terms, and maintained at https://github.com/btraven00/denet. It is implemented in Rust, with Python bindings provided via maturin, and installs from Cargo (cargo install denet) or PyPI (pip install denet). Most functionality does not require administrative privileges, enabling use on cloud platforms, HPC clusters, and standard Linux workstations. Advanced features such as eBPF support may require elevated permissions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_13818 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | denet, A lightweight command-line tool for process monitoring in benchmarking and beyond Carrillo, Ben Mallona, Izaskun Performance Summary: denet is a lightweight process monitoring tool providing real-time resource profiling of running processes. It reports CPU, memory, disk I/O, network activity, and thread usage, including recursive child monitoring, with adaptive sampling rates. denet exposes two interfaces: a CLI with colorized output and a Python API. Output format is JSONL. Each record carries performance metrics and process metadata (PID and the executed command). Structured output makes denet suitable for benchmarking and tuning data-intensive pipelines in bioinformatics and beyond. We provide CLI and API examples, including a bioinformatics workflow in Snakemake, showcasing denet's diagnostic properties. Availability and implementation: denet is open-source software released under the GPLv3 terms, and maintained at https://github.com/btraven00/denet. It is implemented in Rust, with Python bindings provided via maturin, and installs from Cargo (cargo install denet) or PyPI (pip install denet). Most functionality does not require administrative privileges, enabling use on cloud platforms, HPC clusters, and standard Linux workstations. Advanced features such as eBPF support may require elevated permissions. |
| title | denet, A lightweight command-line tool for process monitoring in benchmarking and beyond |
| topic | Performance |
| url | https://arxiv.org/abs/2510.13818 |