qgis_niva 0.55.1

A concise, readable text-pipeline grammar for QGIS geoprocessing.

niva

QGIS from the command line. A concise, readable grammar for QGIS geoprocessing — for people who don't want to write PyQGIS. Easy wins every time.

Ever get tired of clicking? Write a whole pipeline on one line — friendly verbs running on QGIS's own Processing algorithms underneath:

load roads.gpkg | buffer 100m dissolve | clip city.gpkg | save roads_local.gpkg

or even

# ── TEST 24 | add then remove vertices | densify → smooth → simplify
load "{data}/collected.gpkg|layername=park_lines" | densify 5m | smooth iterations=2 | simplify 10 | save /tmp/niva_validation/out/s3_24.gpkg

What it does

Niva turns QGIS automation from PyQGIS code into a readable single lines of text.

• Runs in QGIS's own Python
• Reaches any of its ~878 algorithms
• Near-zero dependencies on other packages. We're trying to stay within the python standard library.
• ~45 friendly verbs → real QGIS algorithms, across vector geometry, overlay, attributes, raster or use run to any of the ~878 with no dedicated verb alias; describe shows their parameters. Every alias is validated against the installed QGIS.
• Discoverable — describe <verb> ends with a runnable example; search <keyword> fuzzy-finds functions across the verbs and QGIS ; and docs <keyword> emits the full reference for every match — save it out with to=<file>. And more!
• Databases via named QGIS connections — read (load @conn.table, sql @conn "SELECT …"), write (save @conn.table, fail-closed with mode=create|replace|append), and analyze server-side (non-SELECT sql @conn "CREATE TABLE … AS SELECT …"). Credentials never leave QGIS.
• Provenance for free — every save records processing steps into metadata; assess writes data-quality reports; the run journal echoes the exact processing.run(…) for each step.
• Composable — chain stages with |, compose .niva files with call mypipeline.niva, and export a flow to a standalone PyQGIS script (niva export) or import one back. - It's just PyQGIS under the hood.
• Utility verbs beyond QGIS — notify (ntfy push when a long job finishes), email (SMTP, Gmail-aware), catalog (recurse a directory and inventory every geospatial dataset — CRS, extent, fields, bands — to a Markdown report), show (list the loadable layers/tables at a file, directory, @conn, or remote WFS/WMS/ArcGIS REST/XYZ URL — name, type, format, ready-to-load source), and info (inspect the local QGIS environment — the registered @conn connection names across every profile, providers, versions). Credentials for notify/email come only from the environment, never the flow text.

Screenshots

niva in the QGIS plugin dock and on the command line — see docs/screenshots.md.

Docs

New here? Start with the Quick start.

• Quick start — install & run niva, in QGIS or as a CLI on QGIS's own Python
• User Guide — install & run niva inside QGIS and standalone, configuration, scratch space, troubleshooting
• Reference — every verb, alias, option, type, env var, CLI command, and Python entry point · Algorithm appendix — all 878 QGIS algorithms with parameters & descriptions
• Cookbook — 50 worked recipes, including spatial SQL for SpatiaLite and PostGIS
• FAQ — what libraries you need, how to run niva, scratch space, databases
• Template projects — author a QGIS project once (layout + styles), reuse it against fresh data with project from-template=
• Testing — platform support (QGIS 4.0.3 & 3.44 LTR), running the suite, and the test .niva-companion rule (per-run detail: tests/TESTING_LOG.md)
• About & goals · Plugin · Publishing a QGIS plugin — a reusable playbook · Verb ↔ algorithm map
• Design & risk docs — PRD, architecture, grammar, security, the Oscar failure register
• CHANGELOG

📘 The whole guide (User Guide + Reference + Cookbook + FAQ + the 878-algorithm appendix) is also one PDF: niva-guide.pdf (also attached to the latest release; rebuild with python3 scripts/build_guide_pdf.py, which needs pandoc + a LaTeX engine).

License

GPLv3 — consistent with the QGIS ecosystem (niva builds on PyQGIS, a GPL library). Not yet on PyPI; install from source or the plugin zip.