pyucis
PyUCIS provides a Python API for manipulating UCIS coverage data.
Decision gist · record as of 2026-08-14
Yes. PyUCIS is actively maintained, has no security vulnerabilities, and fills a clear need for hardware verification teams working with multiple coverage tools. The low install friction, permissive Apache 2.0 license, and support for current Python versions make it a practical choice. Install it if you need to work with UCIS coverage data, convert between verification frameworks, or integrate coverage analysis into CI/CD pipelines.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- Low friction install with six runtime dependencies (lxml, python-jsonschema-objects, jsonschema, pyyaml, mcp, rich).
- Active maintenance with recent releases; last commit 2026-03-07.
License · maintenance · safety
Apache 2.0 (permissive) — Licensed under Apache 2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-03-07 (160 days) · last repo commit 2026-03-07 · 38 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 552,162 downloads/mo, #6,044 on PyPI
Alternatives
Verify before relying
pip install pyucis
from pyucis import UCIS
db = UCIS("coverage.xml")
for scope in db.scopes():
for coveritem in scope.coveritems():
print(f"{coveritem.name}: {coveritem.count} hits")- Whether lxml requires a C compiler for installation on some systems.
- Performance characteristics when working with large coverage databases (file size thresholds, memory usage).
- Completeness of the NCDB format's claimed 60–73× size reduction in real-world verification workflows.
What it is and what it does
PyUCIS is a Python library and command-line tool for working with coverage data from hardware verification flows. It implements the Unified Coverage Interoperability Standard (UCIS) data model, allowing you to read, write, convert, and analyze coverage databases from multiple verification frameworks including Verilator, cocotb, and AVL. The package supports multiple formats (XML, YAML, SQLite, NCDB binary, LCOV, Cobertura, JaCoCo, Clover) and can merge coverage runs, generate reports, and export to industry-standard formats.
The tool includes both a Python API for programmatic access and a CLI with an interactive terminal UI for exploring coverage hierarchies, identifying gaps, and analyzing coverage hotspots. It also provides an MCP server for AI agent integration and AgentSkills support for LLM-based coverage analysis. The package is actively maintained, supports Python 3.8 through 3.12, and has no known security vulnerabilities.
Use it for
- Convert coverage data between verification frameworks (e.g., cocotb XML to LCOV for CI/CD reporting).
- Merge coverage results from multiple test runs or simulation batches into a single database.
- Interactively explore coverage hierarchies and identify untested design areas using the terminal UI.
- Import Verilator or cocotb coverage and export to standard formats for integration with existing tools.
- Query coverage statistics and generate reports via CLI or Python API for test planning.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PyUCIS is actively maintained, has no security vulnerabilities, and fills a clear need for hardware verification teams working with multiple coverage tools. The low install friction, permissive Apache 2.0 license, and support for current Python versions make it a practical choice. Install it if you need to work with UCIS coverage data, convert between verification frameworks, or integrate coverage analysis into CI/CD pipelines.
Install
pyucis on PyPI
Before you install
Low friction install with six runtime dependencies (lxml, python-jsonschema-objects, jsonschema, pyyaml, mcp, rich). Active maintenance with recent releases; last commit 2026-03-07.
Requires Python 3.8 or later.
License in practice
Licensed under Apache 2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install pyucis
from pyucis import UCIS
db = UCIS("coverage.xml")
for scope in db.scopes():
for coveritem in scope.coveritems():
print(f"{coveritem.name}: {coveritem.count} hits")Verify before relying
- Whether lxml requires a C compiler for installation on some systems.
- Performance characteristics when working with large coverage databases (file size thresholds, memory usage).
- Completeness of the NCDB format's claimed 60–73× size reduction in real-world verification workflows.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packageslxmlpython-jsonschema-objectsjsonschemapyyamlmcprich |
| Maintenance | Actively maintained 160 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 552,162 / month, #6,044 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Testing |
Evidence: pyucis-0.2.0.22787133465-py2.py3-none-any.whl
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See also cocotb-coverage · diff-cover · lcov-cobertura · pyuvm · cocotb-test · pycobertura · pylint-junit · slipcover · gcovr · cocotb-bus