Skip to main content

najaeda

PyPI version Apache 2.0 License Join the Matrix chat

najaeda is a Python package for loading, elaborating, navigating, editing, and analysing hardware designs from gate-level Verilog netlists to large SystemVerilog RTL 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_gate_level_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 gate-level Verilog netlists and elaborate supported Verilog/SystemVerilog RTL, 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

For the optional schematic viewer, run pip install "najaeda[schematic]". In a notebook, use from najaeda.schematic import show; show() to display the currently loaded design.

Requires Python 3.10 or later. Pre-built wheels are published for:

  • Linux x86_64 and AArch64 (manylinux_2_28; glibc 2.28 or later)

  • macOS Apple Silicon (arm64), macOS 11 or later

  • Windows x86_64

Building from a checkout

Initialize the submodules, install the native build dependencies (including Flex and Bison), then run python -m pip wheel .. Parser-source selection is automatic: a Git checkout generates the Verilog parser, while release source distributions with bundled generated parser files use those files. An explicit -C cmake.define.PREGENERATED_PARSER_SOURCES=ON or OFF still overrides the selection; ON requires the bundled files to exist.

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

License

Apache License 2.0. See the LICENSE file for details.

Metadata

Release files for najaeda 0.7.32

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for najaeda 0.7.32
File Size Uploaded Provenance Actions
najaeda-0.7.32.tar.gz 16.2 MB Without provenance Details for najaeda-0.7.32.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for najaeda 0.7.32
File Actions
najaeda-0.7.32-cp315-cp315-win_amd64.whl CPython 3.15 CPython 3.15 Windows x86-64 Details for najaeda-0.7.32-cp315-cp315-win_amd64.whl
najaeda-0.7.32-cp315-cp315-manylinux_2_28_x86_64.whl CPython 3.15 CPython 3.15 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp315-cp315-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp315-cp315-manylinux_2_28_aarch64.whl CPython 3.15 CPython 3.15 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp315-cp315-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp315-cp315-macosx_11_0_arm64.whl CPython 3.15 CPython 3.15 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp315-cp315-macosx_11_0_arm64.whl
najaeda-0.7.32-cp314-cp314t-manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp314-cp314t-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp314-cp314t-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp314-cp314t-macosx_11_0_arm64.whl
najaeda-0.7.32-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details for najaeda-0.7.32-cp314-cp314-win_amd64.whl
najaeda-0.7.32-cp314-cp314-manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp314-cp314-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp314-cp314-manylinux_2_28_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp314-cp314-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp314-cp314-macosx_11_0_arm64.whl
najaeda-0.7.32-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details for najaeda-0.7.32-cp313-cp313-win_amd64.whl
najaeda-0.7.32-cp313-cp313-manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp313-cp313-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp313-cp313-manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp313-cp313-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp313-cp313-macosx_11_0_arm64.whl
najaeda-0.7.32-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details for najaeda-0.7.32-cp312-cp312-win_amd64.whl
najaeda-0.7.32-cp312-cp312-manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp312-cp312-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp312-cp312-manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp312-cp312-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp312-cp312-macosx_11_0_arm64.whl
najaeda-0.7.32-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details for najaeda-0.7.32-cp311-cp311-win_amd64.whl
najaeda-0.7.32-cp311-cp311-manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp311-cp311-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp311-cp311-manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp311-cp311-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp311-cp311-macosx_11_0_arm64.whl
najaeda-0.7.32-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for najaeda-0.7.32-cp310-cp310-win_amd64.whl
najaeda-0.7.32-cp310-cp310-manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64 Details for najaeda-0.7.32-cp310-cp310-manylinux_2_28_x86_64.whl
najaeda-0.7.32-cp310-cp310-manylinux_2_28_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ ARM64 Details for najaeda-0.7.32-cp310-cp310-manylinux_2_28_aarch64.whl
najaeda-0.7.32-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details for najaeda-0.7.32-cp310-cp310-macosx_11_0_arm64.whl

Total release size: 277.0 MB

Release files / najaeda-0.7.32.tar.gz

Download URL najaeda-0.7.32.tar.gz
Size 16.2 MB
Tags Source
SHA-256 checksum
How to use checksums
c365ef74a0353f5119e4c2ba28c92e32ba13654790b2f41f302b643bbf66e95a
BLAKE2b-256 checksum
How to use checksums
beb94d7302c409a57e93c7535ae4e734368d839e5f4cd136fb0e9e39e9ca1a6a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp315-cp315-win_amd64.whl

Download URL najaeda-0.7.32-cp315-cp315-win_amd64.whl
Size 11.9 MB
Tags CPython 3.15 Windows x86-64
SHA-256 checksum
How to use checksums
5b1f215e1bb1b96a626dedee40a7f421fa3a27245e472f3b5f4f00c9c500bff1
BLAKE2b-256 checksum
How to use checksums
6c8c7c020dae8d2a54f0a344ba1a57a3bdf4d72890dfe286277bd0ea45fa9709
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp315-cp315-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp315-cp315-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.15 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
a1f6c2a3383953f920088606d163181e2f0ef863a9c3862c26f7a53ddca50bd4
BLAKE2b-256 checksum
How to use checksums
3622a563df0ba22ff2ed0c1fca13089d7632983d2b78c4462783834701fde2a9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp315-cp315-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp315-cp315-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.15 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
7d041e9f016d702aa7fc140ef05fe267c70c1b29219154e38221cbe9f5d4e725
BLAKE2b-256 checksum
How to use checksums
fc21a1c226f0175952e3fd9818b6a5b35822ffe507072bcd86ed8aa0180f6d36
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp315-cp315-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp315-cp315-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.15 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
0a5544206ab1a42ec87d128b2c9ce4a144e5877dbc85db6965de7e8ce7a6dc33
BLAKE2b-256 checksum
How to use checksums
083cdd416ef2523a4ea5f999648af7acb1d73a500193f8874edc70eb056e75c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314t-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp314-cp314t-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.14 CPython 3.14 free-threading Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
e5b648f6d2a88cfbbddb53de8766db35166ba64a33ad4b3ebef54fd206be892e
BLAKE2b-256 checksum
How to use checksums
5a5b97c01b15e05255eaa344e01e1ae8b121394088f0cfcdc46fbaa4d368b088
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314t-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp314-cp314t-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.14 CPython 3.14 free-threading macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
002b58871e6f24081491cfe8c6c712f2ed80e5d50b57a27dcfa273a190731c0e
BLAKE2b-256 checksum
How to use checksums
1ad7ba377d4090deda95e3b46535f6f62e0383d3c97fbc5a03920d84b84f9fdc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314-win_amd64.whl

Download URL najaeda-0.7.32-cp314-cp314-win_amd64.whl
Size 11.9 MB
Tags CPython 3.14 Windows x86-64
SHA-256 checksum
How to use checksums
e619488d89d02f37f04bc37cdd1b4ae0b1856f770633fc313dae17bd5db3126d
BLAKE2b-256 checksum
How to use checksums
291cea349b742d34087016c9c7610b473761552100383e5545580e76a1683197
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp314-cp314-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
56e765432e76b48b5cec08d6da89fc916c0073f3d2a5134844d844d8b30a48e4
BLAKE2b-256 checksum
How to use checksums
6609c9e2e301158f7979a85dc7c6efca3d0c777b6e6af887b32c2ee8dbfa23a1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp314-cp314-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.14 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
899bb903980cac0f102c35ea0975eeb035af63dbf5236bd7a458bc80e89d1f25
BLAKE2b-256 checksum
How to use checksums
be9c2bfa5803d8b5faf2f6491c3c5a34e0cac324da10c5a261b67900993e98fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp314-cp314-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp314-cp314-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
5cc4848426d49a236d38f77affa31eca74c82a23add2d2ad6062e1252bf385ca
BLAKE2b-256 checksum
How to use checksums
2abd27ebae1d7e8b2a6e415da72e7c2da1305b8ce17ece26accd9c87b05a3ad5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp313-cp313-win_amd64.whl

Download URL najaeda-0.7.32-cp313-cp313-win_amd64.whl
Size 11.8 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
d673ffc76d82a8460d7f7e8f7ac20ba096bd3664f687c2b6a0ac8764f0d5a50a
BLAKE2b-256 checksum
How to use checksums
fcfdeaefabd6ac5e4a40c1a3040e59ffd596d0832487cda85f1446059de7e3f9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp313-cp313-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
994669895ea241ccc80c8ea2e44af5a0c5ce7fe2a1e91acbfde40278094cb89b
BLAKE2b-256 checksum
How to use checksums
e6302e5a4d77991a3ae959c2a0fa0a09797d32c874bdba4318dd24384d373623
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp313-cp313-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.13 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
786fae5489880829d2bb782543f9a913d72356db9fe39ee9a0d56d8a8ff8fec7
BLAKE2b-256 checksum
How to use checksums
bdf1781d7f5bd4ecf7c64d740c3b5ebf6034122027d8b18ac4da4a1ee70a4848
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp313-cp313-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp313-cp313-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
507d4a3012a57da1efebae40f78fbe82972e957dc85a1668ef99e6ab6d0eb1a4
BLAKE2b-256 checksum
How to use checksums
1fa17b19e3b02e2558557bf73951b1930545ef88686fb7676fe68cb4359cbe12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp312-cp312-win_amd64.whl

Download URL najaeda-0.7.32-cp312-cp312-win_amd64.whl
Size 11.8 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
c44c5960282fbd0c9c5382f55944766984f87caa70a4b3e1472170199b943906
BLAKE2b-256 checksum
How to use checksums
69690f98a32a2519bd393b67169954e8d18552d8b60e8f4baa98bbb3f8ddfe37
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp312-cp312-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
67e810baa5d24bfc1888f012ddea5fa1f1782a5690797b89785143a490f95287
BLAKE2b-256 checksum
How to use checksums
3b435df11ffa2a14baa8e53a2e19b3aabd9d38e9f60e1582d24a34019549d2ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp312-cp312-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.12 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
34a2c17538e380de8faba7e8e29f7f0b04e7073b200ecff98537badb3c1f6a41
BLAKE2b-256 checksum
How to use checksums
1bfa4a57da507eff636f9e5c264df22ed40870a63cf9a3bd94793091ef3cb55d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp312-cp312-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp312-cp312-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
ac8ba2c665ef5e50535eca0630fffa2f43ce9b16fc3a298e4be28402485fb752
BLAKE2b-256 checksum
How to use checksums
d1412903d2a928fb7e3c87b43c598446fce5048330582f0fe97e534694d46883
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp311-cp311-win_amd64.whl

Download URL najaeda-0.7.32-cp311-cp311-win_amd64.whl
Size 11.8 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
0fce22d5a4428da11649175ce1974ecc4cd126a01d37d5e36474c02cd469b347
BLAKE2b-256 checksum
How to use checksums
d692729c853a82ee3d572a29c33138520f9688b056cf94e161d063e00d5522e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp311-cp311-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
eb70a399e9332fc502231a35a4f023e9af972f748132474f032bfcdeaa54fea8
BLAKE2b-256 checksum
How to use checksums
8b520334378a69d139f633dfe16b0ebc0d908508502885f43b454819949c5b34
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp311-cp311-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.11 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
e4c73595a3636d43120b34c9ad3073eaa030fc974d8ad79ad21ba33fe8ea5a9d
BLAKE2b-256 checksum
How to use checksums
471bdbfdf9279bb4f62ea17b9d8707ffd6216ce602e0154a49853dbc26f36276
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp311-cp311-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp311-cp311-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
f19f642d7e88bd57c1c10a05fa18c7e9b8f1a50010aafeeecafe55ae9bad67c1
BLAKE2b-256 checksum
How to use checksums
d30e73112eaf1232dcbbfe1d3b603cbe53f0ad9041f96a7893edf3bf7d476885
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp310-cp310-win_amd64.whl

Download URL najaeda-0.7.32-cp310-cp310-win_amd64.whl
Size 11.8 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
b8b139145ef2ce7421ea7d82c785cca42008d687bd9ee3225c2474c349e09b26
BLAKE2b-256 checksum
How to use checksums
0c3d42025e48321de4544f41361df9b337da34d3ff96760578560c4eb368c65b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL najaeda-0.7.32-cp310-cp310-manylinux_2_28_x86_64.whl
Size 11.2 MB
Tags CPython 3.10 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
80874fc44e7b86f366da6ebb146ae25451cce81218b30620b31dafeb6b458f32
BLAKE2b-256 checksum
How to use checksums
267bf738535702a28bf54ede74da0ae06914522b4ba65387527e4f2a8dbfae6b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp310-cp310-manylinux_2_28_aarch64.whl

Download URL najaeda-0.7.32-cp310-cp310-manylinux_2_28_aarch64.whl
Size 10.3 MB
Tags CPython 3.10 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
079dc637b73af2afcd5c6999dce852b366a680613c986080cc51fcc431634cba
BLAKE2b-256 checksum
How to use checksums
3402c0dfd749bc80c2e91c9d0d03feb0b739767df48e5ac41d79746969a0db93
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / najaeda-0.7.32-cp310-cp310-macosx_11_0_arm64.whl

Download URL najaeda-0.7.32-cp310-cp310-macosx_11_0_arm64.whl
Size 7.1 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b49af314008665362470deed1e3c01a131b7ae25a8f54282ec30553b6a9a9eb8
BLAKE2b-256 checksum
How to use checksums
79440ea8f21807e596fa721cef8a02ad0149eb6af7ff4e590cb5836b3e6f44ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Security for najaeda 0.7.32

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.7.32 This release

27 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page