An IP packager and dependency manager for HDL (Verilog/VHDL/SystemVerilog) design reuse.
Project description
HDL IP Packager
A package manager and dependency resolver for HDL IP cores — bringing the
ergonomics of pip / npm / cargo / docker pull to Verilog, VHDL, and
SystemVerilog design reuse. Built in Python 3.11+.
Project status: pre-alpha / foundation. The versioning, identity (VLNV), and manifest layers are implemented and tested; resolution, packaging, and registries are designed and stubbed. See docs/progress_tracker.md for exactly what is done versus planned, and docs/architecture.md for the design.
Why
Hardware teams re-use IP constantly, but sharing it is still mostly manual: copy files, hand-track versions, hope the dependency you vendored matches the one your colleague used. Software solved this with package managers. The mature HDL attempts (FuseSoC, Bender, Orbit, IP-XACT/IEEE 1685, vendor catalogs) each got part of the way. This project distills the state of the art into one tool — see the research write-up in docs/research/state_of_the_art.md.
Features
Implemented today:
- VLNV identity — cores are named
vendor:library:name:version(the IP-XACT convention), so names are globally meaningful and collision-resistant. - Semantic versioning — full SemVer 2.0.0 parsing/precedence plus a
constraint grammar (
^,~,>=,<, ranges,*) for dependency specs. - Manifest (
ip.toml) — a TOML manifest per core declaring identity, metadata, filesets, dependencies, and build targets. - CLI (
hdlpkg) —info,validate, andinit(scaffold a starterip.toml) work today; the rest of the command surface is wired and reports its planned status.
Designed and on the roadmap (see the progress tracker):
- Dependency resolution + a reproducible lockfile (
ip.lock). - A content-addressed cache and pluggable registries (local, Git, HTTP, and OCI artifact registries).
- Packaging (
.ipkg), publish/pull, tool-flow generation (EDAM), and IP-XACT export for Vivado/other-tool interop.
Requirements
| Dependency | Version |
|---|---|
| Python | 3.11+ (uses stdlib tomllib) |
| OS | Windows, Linux, macOS (pure Python) |
| Runtime deps | none yet (kept minimal by design) |
Install
# From a clone, install in editable mode with the dev/test toolchain:
python -m pip install -e ".[dev]"
This puts the hdlpkg command on your PATH and installs pytest, ruff, mypy, and
pre-commit. Enable the local git hooks (ruff + mypy on commit) once with:
pre-commit install
Usage
hdlpkg --help # show all commands
hdlpkg init --vendor acme --library comm --name uart # scaffold a starter ip.toml
hdlpkg info ip.toml # print the parsed identity, deps, filesets, targets
hdlpkg validate ip.toml # parse + validate a manifest (exit 0 if OK)
python -m hdl_ip_packager info # same CLI, invoked as a module
A minimal ip.toml:
[package]
vendor = "acme"
library = "comm"
name = "uart"
version = "1.2.0"
[dependencies]
"acme:common:fifo" = "^1.0.0"
[filesets.rtl]
files = ["rtl/uart_top.sv"]
type = "systemVerilogSource"
[targets.sim]
toolflow = "verilator"
filesets = ["rtl"]
top = "uart_top"
Two complete, working cores live under examples/ — a FIFO
(acme:common:fifo) and a UART (acme:comm:uart) that depends on it:
hdlpkg info examples/uart/ip.toml
hdlpkg validate examples/fifo/ip.toml
Tests
The suite uses pytest with a scalable, marker-based layout and a foldable summary report. From the repo root:
pytest # run everything (with the local summary)
pytest -m unit # only fast unit tests
pytest -m "not integration" # skip filesystem/integration tests
pytest --cov=hdl_ip_packager --cov-report=term-missing # with coverage
# Produce the JUnit XML + the rendered Markdown report (what CI shows):
pytest --junitxml=test-results.xml
python scripts/render_test_summary.py --title "Test results"
See tests/README.md for how the suite is organized and how to add new test modules. CI runs the suite on every push/PR and renders the summary into the GitHub Actions run page.
Documentation
Full technical documentation lives in docs/ and is published
as a site at https://germanbravolopez.github.io/hdl-ip-packager/ (built from
docs/ by .github/workflows/docs.yml on every
push to main). To preview it locally:
pip install -e ".[docs]"
mkdocs serve
| Document | Description |
|---|---|
| AI agent instructions | Start here if you are an AI agent or new contributor — briefing, file map, rules |
| Architecture | Module map, manifest/lockfile design, data flow, roadmap |
| State of the art | Research survey of package managers (pip/npm/cargo/docker) and HDL tools (FuseSoC, IP-XACT, Orbit, Bender) |
| Progress tracker | What is done, in progress, and planned |
| Quick-find index | Every file, concept, and topic |
Development workflow
This project follows the same branch model as its sibling projects: never
commit directly to main. Work happens on a branch and merges via pull request.
- Branch off
main(e.g.git checkout -b feature/resolver). - Implement with tests. Keep docs in sync as you go — run the
/update-docschecklist (docs/progress_tracker.md,docs/architecture.md,docs/INDEX.md, and this README if user-visible behaviour changed). - Before merging, the branch must be green:
pytest,ruff check ., andmypyall pass. The pre-commit hooks (pre-commit install) run ruff + mypy on each commit so these are caught locally before CI. - Open a PR into
mainand merge with a merge commit.
Releasing
Releases are tag-driven. Bump [project].version in pyproject.toml, then push a
matching X.Y.Z tag: .github/workflows/release.yml builds the wheel + sdist and
publishes them to PyPI via OIDC trusted publishing. A guard
(scripts/check_release_version.py) fails the run if the tag and the packaged
version disagree, so the tag is the single source of truth for the published
version. (One-time: register the repo as a PyPI trusted publisher and create the
pypi environment.)
See docs/ai_agent_instructions.md for the full agent obligations and coding conventions.
License
MIT © 2026 German Bravo Lopez.
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