A comprehensive Go toolkit for High Energy Physics (HEP) data analysis, simulation, and visualization.
hep is a monorepository containing all Go packages and tools from the go-hep.org project for High Energy Physics applications. It provides a comprehensive toolkit for HEP data analysis, simulation, and visualization entirely in Go, offering an alternative to traditional C++ and Python-based HEP software stacks.
High Energy Physics researchers, data scientists, and developers working on particle physics experiments who want to use Go for scientific computing and data analysis tasks.
Developers choose hep for its native Go implementation of HEP tools, which provides better performance, simpler deployment, and modern software engineering practices compared to legacy HEP frameworks.
hep is the mono repository holding all of go-hep.org/x/hep packages and tools
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Offers a pure Go ecosystem for HEP tasks, enabling better performance, simpler deployment, and modern software engineering practices compared to legacy C++ frameworks, as emphasized in the philosophy.
Provides direct support for reading and writing ROOT files, a standard in HEP data storage, facilitating interoperability with existing experiments and datasets, as noted in the key features.
Includes packages for data analysis, simulation, and visualization in a monorepo, reducing dependency management overhead and providing a unified workflow for HEP developers.
Features tools to interface with traditional HEP software ecosystems, allowing gradual migration or hybrid setups, which is highlighted in the key features for bridging Go with other languages.
The Go HEP community is smaller than established Python or C++ ecosystems, potentially lacking specialized libraries, extensive documentation, or third-party support for niche HEP tasks.
Integrating with legacy C++ or Python HEP tools may require additional effort for data conversion or API bridging, despite interoperability features, which can slow adoption in mature projects.
Main development has moved to Codeberg, as stated in the README, which might fragment community contributions or reduce visibility compared to GitHub, affecting long-term maintenance.