heliaAOT
Bring blazing-fast, ultra-compact neural inference to Ambiq’s ultra-low-power SoCs—without a runtime.
CI | Docs | Build Wheel | Release
heliaAOT is an ahead-of-time (AOT) compiler that converts front-end models (e.g., TFLite) into stand-alone C inference modules optimized for Ambiq microcontrollers. By shifting codegen to build-time and eliminating the runtime interpreter, heliaAOT delivers compact, readable C with zero arena-guesswork and no dead code.
✨ Why heliaAOT?
- Smaller binaries – Generate only the code you need. No interpreter, no dead kernels.
- Deterministic memory – Context-level memory planning; stop guessing arena sizes.
- Readable output – Layer-mirrored C files for fast bring-up and debugging.
- Ambiq-tuned – Optimized for Cortex-M (M4/M55/Helium) on Ambiq SoCs.
- Production-ready – Drop into Zephyr/neuralSPOT or your existing build system.
🚀 Quick Start
Option A: Install via pipx
pipx install --python python3.12 helia-aot
helia-aot --help
We recommend pipx because it installs Python apps in isolated, self-contained environments and puts the CLI on your PATH.
Option B: Install via uv
uv tool install --python python3.12 helia-aot
helia-aot --help
Option C: Install via pip
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
python -m pip install helia-aot
helia-aot --help
Option D: Install from source
git clone https://github.com/AmbiqAI/helia-aot.git
cd helia-aot
uv sync
uv run helia-aot --help
🧭 First Conversion
helia-aot convert \
--model.path ./model.tflite \
--module.path ./out \
--module.name my_model_aot
What you get:
out/my_model_aot/
├── LICENSE # License for the generated module
├── README.md # Module usage notes
├── includes-api/ # Public C headers
├── src/ # Operator implementations
└── module.mk
Drop the folder into your firmware tree and build like any other C module.
🛠️ Current CLI
heliaAOT exposes the following commands:
-
convert – Convert a TFLite model into a C inference module.
helia-aot convert --help
-
list-targets – List every supported target platform name.
helia-aot list-targets -
target-info – Show a target's CPU, clock speeds, memories, and capabilities.
helia-aot target-info --name apollo330mp_evb
We follow “progressive disclosure of complexity.” The CLI starts simple; advanced flags and expert workflows are documented in the site’s How-to and Reference sections.
📚 Documentation
- Getting Started: the fastest way from model → C module
- How-To: step-by-step recipes for common tasks
- Reference: full list of commands/flags
- Guides: end-to-end projects and best practices
- Benchmarks: performance and size comparisons
- API: for power users who integrate deeper
The docs are written for CLI users first; you don’t need to know (or care) that the tool is implemented in Python.
🔌 Supported Inputs & Targets
Inputs
- LiteRT/TFLite (int8/int16)
Targets
- Ambiq SoCs (Cortex-M4, M55/Helium)
- Integration paths: Zephyr module, neuralSPOT, or make/CMake projects
🧩 What the Generated C Looks Like
- A compact operator library: only kernels required by your model.
- A structured init() / run() style API with clear I/O.
- Compile-time tensor shapes and a fixed memory plan.
- Optional operator callbacks for instrumentation/telemetry.
🧪 Testing & Quality
- Continuous Integration runs linting and unit tests
- Deterministic builds and reproducible outputs where possible
- Example apps and benchmarks in the docs
⚙️ Development (optional)
If you do want to contribute or run from source:
# Using uv (fast Python package manager)
uv sync
uv run helia-aot --help
# Or with pip + virtualenv
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
helia-aot --help
Developer setup
uv sync --group ci # test + lint dependencies (also the venv ty reads)
git lfs pull # model fixtures used by the test suite
uv tool install pre-commit
pre-commit install
pre-commit install covers the pre-commit stage (whitespace fixers,
gitleaks, ruff, ty, the TODO(#123) marker check). To check the whole tree
the way CI does:
pre-commit run --all-files
The ty type check blocks the commit on any error-level diagnostic and runs
with ty's default rule severities; a unit test pins the warning count at zero
so it cannot creep back. It prints a one-line summary (full report in
.pre-commit/ty.log) and resolves imports against .venv, so if you haven't
run uv sync yet — or ran a bare uv venv without syncing — it prints a
one-line skip with a hint instead.
🗺️ Roadmap
The project roadmap and features can be found on the GitHub Projects page.
We prioritize features that keep binaries tiny, predictable, and fast.
💬 Support & Feedback
- Issues / bugs: Create an issue on GitHub
- Feature requests and discussions: Join the conversation
📄 License
heliaAOT generates C modules that include a license header restricting use to Ambiq hardware. See the generated module’s LICENSE.txt for terms and the repository’s LICENSE for tooling.
Ready to dive in? Head over to the Getting Started guide and generate your first module in minutes.
Metadata
Release files for helia-aot 0.20.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| helia_aot-0.20.0.tar.gz | 426.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| helia_aot-0.20.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / helia_aot-0.20.0.tar.gz
| Download URL | helia_aot-0.20.0.tar.gz |
|---|---|
| Size | 426.8 kB |
| Tags | Source |
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| Tags | Python 3 |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 7, 2026.
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