{"slug": "show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime", "title": "Show HN: Pantheon. Production-ready scientific workflows for the Horus Runtime", "summary": "Temple Compute released Pantheon, a collection of production-ready scientific workflows for its Horus Runtime, covering molecular dynamics, virtual screening, docking, and LLM training. The workflows are multi-stage pipelines that automatically route each stage to the appropriate compute cluster type (HPC, cloud, or local), eliminating the need for custom glue code. Pantheon is available on GitHub and includes documentation, workflow definitions, and scripts for each pipeline.", "body_md": "You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert\n\nProduction-ready scientific workflows for the Horus Runtime. Molecular dynamics, virtual screening, docking, LLM training, and more. Each workflow is a multi-stage pipeline that routes every stage to the right cluster type automatically: HPC, cloud, or local.\n\nWhy Pantheon? Stop writing glue code. Declare your pipeline once and Horus runs it across heterogeneous compute, streams logs live, retries failures, and produces typed artifacts you can trace.\n\nStar the repo ⭐ if you build scientific pipelines, it helps more people find these workflows.\n\nEach workflow directory contains:\n\nREADME.md: purpose, pipeline, install steps, and configuration guide\n\nworkflow.yaml or run.py: a plain Horus workflow definition or Python workflow builder\n\nscripts/: small stage scripts and helper code when needed\n\nGetting Started\n\n```\n# 1. Install uv (recommended)\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# 2. Clone this repo\ngit clone https://github.com/temple-compute/pantheon\ncd pantheon\n\n# 3. Install horus-runtime from inside any workflow directory\ncd workflows/drug-discovery/w01-boltz2-virtual-screening\nuv sync\n# or, if you prefer pip:\n# pip install horus-runtime horus-environments\n\n# 4. Run the workflow\nuv run horus run workflow.yaml\n```\n\nBioExcel workflows also require a conda-family tool (micromamba, mamba, or conda) on your PATH. Their executors build conda environments to provision GROMACS, AMBER, and related simulation tools. More on executors at docs.templecompute.com.\n\nOne measurable task per execution mechanism (subprocess, venv, container, in-process) as an acceptance harness for per-task resource measurement\n\nContributing\n\nSee CONTRIBUTING.md for how to add new workflows or improve existing ones.\n\nAbout\n\nProduction-ready scientific workflows for the Horus Runtime: molecular dynamics, virtual screening, docking, LLM training and more. HPC pipelines that actually run at scale.", "url": "https://wpnews.pro/news/show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime", "canonical_source": "https://github.com/temple-compute/pantheon", "published_at": "2026-08-12 06:13:10+00:00", "updated_at": "2026-08-12 06:40:19.945021+00:00", "lang": "en", "topics": ["ai-infrastructure", "developer-tools", "machine-learning"], "entities": ["Temple Compute", "Horus Runtime", "Pantheon", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime", "markdown": "https://wpnews.pro/news/show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime.md", "text": "https://wpnews.pro/news/show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime.txt", "jsonld": "https://wpnews.pro/news/show-hn-pantheon-production-ready-scientific-workflows-for-the-horus-runtime.jsonld"}}