tsbootstrap is an open-source CLI tool for performing bootstrap resampling on time series data, with special support for heteroskedasticity. It helps data scientists obtain more accurate standard error estimates in models where error variance changes over time. The tool is designed for statistical analysis and research workflows.
In the CLI tools & terminal space, tsbootstrap takes a focused approach. Accurately estimating standard errors in time series models with heteroskedastic errors using bootstrap methods. It is built as an open-source project for data scientists. tsbootstrap is open source under the MIT license. tsbootstrap is available on the command line, and it can be self-hosted.
It is developed by Sankalp Gilda, and the product first shipped in 2023. Development happens publicly on GitHub with 91 stars and 190 commits in the last 90 days. Key capabilities include bootstrap resampling, time series analysis, and heteroskedasticity support.
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