
Naja
[](https://pypi.org/project/najaeda)
[](
https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/01_getting_started.ipynb)
[](https://matrix.to/#/#naja:fossi-chat.org)


[](https://codecov.io/gh/najaeda/naja)
[](https://opensource.org/licenses/Apache-2.0)
[](https://api.reuse.software/info/github.com/najaeda/naja)
## What is Naja?
Naja is an open source EDA framework for loading, elaborating, analyzing, optimizing, and transforming hardware designs from RTL SystemVerilog through structural netlists. It is usable from Python or C++.
- **SV/Verilog frontend** — parse Verilog and elaborate SystemVerilog RTL into a browsable design model
- **Netlist analysis** — hierarchy, connectivity, equipotentials
- **Logic optimization** — dead logic elimination, constant propagation
- **ECO transformations** — direct netlist editing
- **Serialization** — SNL interchange format (Cap'n Proto) and Verilog output

## Get Started
The best entry point is the [`najaeda`](https://pypi.org/project/najaeda/) Python package:
```bash
pip install najaeda
```
Full documentation: [najaeda.readthedocs.io](https://najaeda.readthedocs.io/en/latest/)
For AI-assisted design exploration, [`naja-scope`](https://github.com/najaeda/naja-scope)
is a najaeda-based MCP server that gives MCP-compatible assistants a precise,
structured view of elaborated SystemVerilog designs. Instead of pasting large
RTL files into chat, agents can ask targeted questions — what drives a signal,
what is inside a module, where a net comes from — and get small, exact answers
with file-and-line references.
### Tutorials
Six hands-on notebooks — open any of them in Colab with no local install needed:
| # | Topic | Colab |
| --- | --- | --- |
| 1 | Getting started — load Verilog, navigate hierarchy, visualize | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/01_getting_started.ipynb) |
| 2 | Liberty primitives — load a synthesised design with standard cells | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/02_liberty_primitives_design.ipynb) |
| 3 | Editing a netlist — rename, disconnect, reconnect, delete | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/03_editing_a_netlist.ipynb) |
| 4 | SystemVerilog elaboration — load and browse an elaborated SV design | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/04_systemverilog_elaborated_netlist.ipynb) |
| 5 | ibex RISC-V core — explore a real-world SV core, collect stats | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/05_ibex_riscv_core.ipynb) |
| 6 | Fanout analysis — compute fanout for every net, trace drivers, export to pandas | [](https://colab.research.google.com/github/najaeda/naja/blob/main/tutorials/notebooks/06_fanout_analysis.ipynb) |
## `naja_edit` — Netlist CLI
`naja_edit` is a command-line tool for optimizing and translating netlists.
:tv: Presented at [ORConf 2024](https://www.youtube.com/watch?v=JpwZGCuWekU).
```bash
# Translate Verilog → SNL
naja_edit -f verilog -t snl -i input.v -o output.snl
# Parse SystemVerilog with explicit top
naja_edit -f systemverilog -t verilog -i input.sv -o output.v --sv_top top
# Dead logic elimination
naja_edit -f snl -t snl -i input.snl -o output.snl -a dle
# Chain optimizations with Python scripts
naja_edit -f snl -t snl -i input.snl -o output.snl -a dle -e pre.py -z post.py
```
Available optimizations (`-a`): `all` (DLE + constant propagation + primitives), `dle`.
Python script examples: [src/apps/naja_edit/examples](https://github.com/najaeda/naja/blob/main/src/apps/naja_edit/examples)
Regression suite: [naja-regress](https://github.com/najaeda/naja-regress)
## Building from Source
CMake is Naja's primary build, test, and install workflow. Bazel is maintained
as a build-and-test smoke path; it does not replace the CMake install and
packaging workflows.
### CMake
#### Dependencies
**Ubuntu:**
```bash
sudo apt-get update
sudo apt-get install build-essential cmake git libboost-dev python3-dev \
capnproto libcapnp-dev libtbb-dev pkg-config bison flex
```
**macOS (Homebrew):**
```bash
brew install cmake capnp tbb bison flex boost
export PATH="/opt/homebrew/opt/flex/bin:/opt/homebrew/opt/bison/bin:$PATH"
```
**Nix:**
```bash
nix-shell -p cmake gnumake boost python3 capnproto bison flex pkg-config tbb_2021_8
```
#### Build, test, and install
```bash
git clone --recurse-submodules https://github.com/najaeda/naja.git
cd naja
export NAJA_INSTALL="$PWD/install"
cmake -S . -B build \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX="$NAJA_INSTALL"
cmake --build build --parallel
ctest --test-dir build --output-on-failure
cmake --install build
# Add the installed Python package to your environment.
export PYTHONPATH="${PYTHONPATH:+$PYTHONPATH:}$NAJA_INSTALL/lib/python"
```
### Bazel smoke build
The Bazel build covers the repository's build and test targets on Ubuntu and
macOS. The version is pinned in [`.bazelversion`](./.bazelversion); using
[Bazelisk](https://github.com/bazelbuild/bazelisk) as the `bazel` command
automatically selects it.
Bazel fetches its own pinned copies of the shared source dependencies, so a
Bazel-only checkout does not need Git submodules. It still uses system
toolchains and libraries for parts of the build.
**Ubuntu:**
```bash
sudo apt-get update
sudo apt-get install build-essential cmake libboost-dev libfl-dev libtbb-dev \
bison flex m4 pkg-config python3-dev git
```
**macOS (Homebrew):**
Install the Xcode Command Line Tools, then:
```bash
brew install cmake capnp tbb bison flex boost fmt tomlplusplus pkg-config
export PATH="$(brew --prefix flex)/bin:$(brew --prefix bison)/bin:$PATH"
```
Build and test from the repository root:
```bash
git clone https://github.com/najaeda/naja.git
cd naja
bazel build //... --jobs=auto
bazel test //... --test_output=errors --jobs=auto
```
These are the same smoke commands used by
[`ubuntu-bazel.yml`](./.github/workflows/ubuntu-bazel.yml) and
[`macos-bazel.yml`](./.github/workflows/macos-bazel.yml). There is no Bazel
install target; use the CMake workflow above when you need an installed
library, Python package, or packaged artifact.
When changing a shared dependency pin, keep the Git submodule and
[`MODULE.bazel`](./MODULE.bazel) entries synchronized, then run:
```bash
python3 ci/check_submodule_bazel_sync.py
```
## C++ API
Naja exposes two complementary APIs:
- **SNL** (Structured Netlist) — full read/write netlist representation
- **DNL** (Dissolved Netlist) — fast, read-only flattened view for parallel analysis
Extended documentation: [naja.readthedocs.io](https://naja.readthedocs.io/en/latest/)
C++ snippet: [NLUniverseSnippet.cpp](https://github.com/najaeda/naja/blob/main/src/app_snippet/src/NLUniverseSnippet.cpp)
App template (copy to start a new tool): [src/app_snippet](https://github.com/najaeda/naja/blob/main/src/app_snippet)
## Community
- Chat: [Matrix #naja:fossi-chat.org](https://matrix.to/#/#naja:fossi-chat.org)
- Bugs / features: [GitHub Issues](https://github.com/najaeda/naja/issues)
- Contact: [contact@keplertech.io](mailto:contact@keplertech.io)
:star: If you find Naja useful, starring the repo helps spread the word.
## Acknowledgement
[
](https://nlnet.nl/project/Naja)
[
](https://nlnet.nl/project/Naja)
Supported by [NLNet](https://nlnet.nl/project/Naja) through the [NGI0 Entrust](https://nlnet.nl/entrust) Fund.