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najaeda is a Python package for working with gate-level netlists — load, navigate, edit, and analyse designs from simple Verilog files to large SystemVerilog cores.

from najaeda import netlist

# Load a gate-level Verilog design with a Liberty standard-cell library
netlist.load_liberty(['NangateOpenCellLibrary.lib'])
top = netlist.load_verilog('my_design.v')

# Navigate the hierarchy
for inst in top.get_child_instances():
    print(f'{inst.get_name()} → {inst.get_model_name()}')

# Flat connectivity across hierarchy boundaries
for iterm in top.get_term('clk').get_equipotential().get_inst_terms():
    print(iterm)

# Edit: rename, reconnect, delete
top.get_net('old_name').set_name('new_name')

What you can do

  • Load structural Verilog and SystemVerilog designs, with or without Liberty standard-cell libraries

  • Navigate hierarchy, nets, and ports at any level of detail — instance-by-instance or flat via equipotentials

  • Edit netlists: rename instances and nets, disconnect and reconnect signals, delete logic

  • Analyse designs with the visitor API and export results to pandas for further processing or visualisation

Installation

pip install najaeda

Requires Python 3.8+. Wheels are published for Linux, macOS, and Windows.

Tutorials

Six hands-on notebooks — open any of them in Google Colab with no local install needed:

#

Topic

Colab

1

Getting started — load Verilog, navigate hierarchy, visualize

 Open in Colab

2

Liberty primitives — load a synthesised design with standard cells

 Open in Colab

3

Editing a netlist — rename, disconnect, reconnect, delete

 Open in Colab

4

SystemVerilog elaboration — load and browse an elaborated SV design

 Open in Colab

5

ibex RISC-V core — explore a real-world SV core, collect module stats

 Open in Colab

6

Fanout analysis — compute fanout for every net, trace drivers, export to pandas

 Open in Colab

Links

License

Apache License 2.0. See the LICENSE file for details.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.7.20)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for xtof from gravatar.com xtof

Credits

Author: Naja Authors

License

Apache Software License (Apache License 2.0)

Requires

Python >=3.8

Classifiers

Report project as malware

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0.7.20

0.7.19

0.7.18

0.7.17

0.7.16

0.7.15

0.7.14

0.7.13

0.7.12

0.7.11

This release

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.1

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.0

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.17

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.0

0.0.0

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