API Documentation¶
OpenQP exposes several layers of programmatic access. Most users should start
with the Python API because it covers both compact OpenQP scripts and direct
Runner execution of existing input files.
API Layers¶
| Layer | Entry point | Audience | Stability |
|---|---|---|---|
| Command line | openqp input.inp |
Production runs, shell scripts, workflows | Stable |
| Python API | oqp.openqp.OpenQP, oqp.pyoqp.Runner |
Scripts, notebooks, services, and automated workflows | Recommended |
| Molecule data | runner.mol |
Result extraction and advanced workflows | Semi-stable |
| Input checker | oqp.utils.input_checker.check_input_values |
Input builders, web forms, preflight validation | Recommended |
| Convenience wrapper | oqp.openqp.OPENQP |
Compact dotted-key Python inputs | Experimental |
| C/Fortran handle | include/oqp.h, oqp_handle_t |
OpenQP developers and native extensions | Internal |
The import package is oqp, even though the source tree contains a pyoqp
directory and the installable distribution is named OpenQP.
Recommended Starting Points¶
- Use Run OpenQP from Python for complete script-based calculation examples.
- Use Python API for high-level
OpenQPscripts, directRunnerexecution, and the supported Python helper functions. - Use Results and Molecule Data to retrieve energies, gradients, orbitals, TDDFT arrays, SOC data, and serialized result dictionaries.
- Use Input Validation when building forms, agents, or custom front ends that need actionable diagnostics before launching OpenQP.
- Use the Developer Guide when contributing new keywords, workflows, native kernels, data tags, or bindings.
Generated References¶
The manual pages above are the curated API guide. The older generated references remain useful for source browsing:
Generated references can expose internal modules that are not intended as stable user-facing APIs. Prefer the manual pages for supported scripting patterns.