najaeda

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
2	Liberty primitives — load a synthesised design with standard cells
3	Editing a netlist — rename, disconnect, reconnect, delete
4	SystemVerilog elaboration — load and browse an elaborated SV design
5	ibex RISC-V core — explore a real-world SV core, collect module stats
6	Fanout analysis — compute fanout for every net, trace drivers, export to pandas

License

Apache License 2.0. See the LICENSE file for details.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

najaeda-0.7.9-cp314-cp314t-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.14tmanylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp314-cp314t-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.14tmacOS 11.0+ ARM64

najaeda-0.7.9-cp314-cp314-win_amd64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.14Windows x86-64

najaeda-0.7.9-cp314-cp314-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.14manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp314-cp314-manylinux_2_28_aarch64.whl (8.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.14manylinux: glibc 2.28+ ARM64

najaeda-0.7.9-cp314-cp314-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.14macOS 11.0+ ARM64

najaeda-0.7.9-cp313-cp313t-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.13tmanylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp313-cp313t-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.13tmacOS 11.0+ ARM64

najaeda-0.7.9-cp313-cp313-win_amd64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.13Windows x86-64

najaeda-0.7.9-cp313-cp313-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.13manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp313-cp313-manylinux_2_28_aarch64.whl (8.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.13manylinux: glibc 2.28+ ARM64

najaeda-0.7.9-cp313-cp313-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.13macOS 11.0+ ARM64

najaeda-0.7.9-cp312-cp312-win_amd64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.12Windows x86-64

najaeda-0.7.9-cp312-cp312-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.12manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp312-cp312-manylinux_2_28_aarch64.whl (8.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.12manylinux: glibc 2.28+ ARM64

najaeda-0.7.9-cp312-cp312-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.12macOS 11.0+ ARM64

najaeda-0.7.9-cp311-cp311-win_amd64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.11Windows x86-64

najaeda-0.7.9-cp311-cp311-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.11manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp311-cp311-manylinux_2_28_aarch64.whl (8.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.11manylinux: glibc 2.28+ ARM64

najaeda-0.7.9-cp311-cp311-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.11macOS 11.0+ ARM64

najaeda-0.7.9-cp310-cp310-win_amd64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.10Windows x86-64

najaeda-0.7.9-cp310-cp310-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.10manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp310-cp310-manylinux_2_28_aarch64.whl (8.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.10manylinux: glibc 2.28+ ARM64

najaeda-0.7.9-cp310-cp310-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.10macOS 11.0+ ARM64

najaeda-0.7.9-cp39-cp39-manylinux_2_28_x86_64.whl (9.2 MB view details)

Uploaded Jul 3, 2026 CPython 3.9manylinux: glibc 2.28+ x86-64

najaeda-0.7.9-cp39-cp39-macosx_11_0_arm64.whl (5.4 MB view details)

Uploaded Jul 3, 2026 CPython 3.9macOS 11.0+ ARM64

File details

Details for the file najaeda-0.7.9-cp314-cp314t-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314t-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.14t, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314t-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`6b5dd5068aadb176f2056bd1cc65285fb66952fa3e07d9be9de6b352c6fdb0f6`
MD5	`0c56c42c9f485fd50c2ab75e1c6db53c`
BLAKE2b-256	`7901f47a20118cbd4a7f922374213a197d3208f5e1fc50eab56b90e7d1402fae`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314t-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.14t, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`d6a05573e6ec7c75ae456c22a343720dbee8187b9b2652c24b3c8d61850949b7`
MD5	`08eaa4305a8b2a3fc30e650ba9d48da9`
BLAKE2b-256	`e0323416bae82997ac5ab1bd5f5bb92381451432e7c9b15d58e8f212f62e1730`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp314-cp314-win_amd64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314-win_amd64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.14, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314-win_amd64.whl
Algorithm	Hash digest
SHA256	`02def46ad96b6c0f54df3db8bf79d552dd84aae7a0736e4ed134885078f07016`
MD5	`a087afdd212c72ae1a32b8d5dd3e7886`
BLAKE2b-256	`56fc36578132badfc3c6e9480aaf372a179faa4c16dd3c08e1aab60f743b329e`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.14, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`742147eaecf5958b3803f9327398f344039089ee1e0a574c13dd3ad14e088804`
MD5	`131fa59a5a02ceaff1f4a3705c5befe6`
BLAKE2b-256	`a554be558b7405bba81eb29aa566c2c04127448760844648aca2be0c7b852530`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314-manylinux_2_28_aarch64.whl
Upload date: Jul 3, 2026
Size: 8.4 MB
Tags: CPython 3.14, manylinux: glibc 2.28+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`256decb505baedfde9c2ecfa4167c1de1b1495c1bb7c0e81a301743d96fc99a7`
MD5	`efe117ba7f1fc784d273f611e15b3fb0`
BLAKE2b-256	`d6c12c368000068d0d0e580ec1d6b9d78c4ff48fc4e9f80bf33a023525ed88b7`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp314-cp314-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.14, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp314-cp314-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`5ac48d9abbaae01e7982294445771500346e20ab469a3b6452084625f2461144`
MD5	`352f0ba8650ec24c0acefa4c702ce409`
BLAKE2b-256	`043f6d04f0b77f607b5127aefb433b9f5091ecf3a69eacfc5388c20057f21d00`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313t-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313t-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.13t, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313t-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`9bc3dcbe263c91d9c4c30c86807b02707cb84069fc2027efed0a81b357831c76`
MD5	`e60217268c7975e10f37de91631d25e1`
BLAKE2b-256	`500f11fbe5a3a83f317ff85ba64e3980152678931da9442b4a6cd39df9787981`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313t-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313t-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.13t, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313t-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`cb9d68f9661eda16f7ebde67e5f05859672e6dadb64cf282a802ed1baa99902a`
MD5	`e3d1b9508c11cbe2925f79406f923c71`
BLAKE2b-256	`d877c731cdd86b26f16f4072ab56ca20e08abd3611031020fd8b9ad7c36b2775`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313-win_amd64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313-win_amd64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.13, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313-win_amd64.whl
Algorithm	Hash digest
SHA256	`129c4472c74a625238a9ea009b8cb93f09410f6bc0d0625c893b2d273378b0c8`
MD5	`c547c350a327402c234a4982c6d94b01`
BLAKE2b-256	`88d9b535cda3c01c4d704211e30940f19b493867350b2f07d7e80e83de5ac0dd`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.13, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`78fb45e80ed46becf75c08540b5bd9c146ad180513b65100432dce80f620747c`
MD5	`c3022a206ac7af34e8f83abe6f44ba9b`
BLAKE2b-256	`09d1d5af979f3e9b34212e8268e46829d5e1dd9c1297e47efa6831539572e847`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313-manylinux_2_28_aarch64.whl
Upload date: Jul 3, 2026
Size: 8.4 MB
Tags: CPython 3.13, manylinux: glibc 2.28+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`f16d6da2e71d6ce64ee3ab0ae675b405ed44ed72f3ba485b16a1dbdd645fcde4`
MD5	`8577d3b7b4bbe7a8f544558d6b8e5b25`
BLAKE2b-256	`37aebbd46b8caf8127188cbfa92725f9c78efde02b931ea2f0836669ce0f1c0b`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp313-cp313-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.13, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp313-cp313-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`9f3e3fc98e86b92b17bd3e3a26e40d4c496bae55251c4d4015873ab724f025e2`
MD5	`22b1545d9629154388b92afe376344b7`
BLAKE2b-256	`6675052dc03af4cbc6f0757ae345fd7da1ce96ee263435b5265976c5581c4931`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp312-cp312-win_amd64.whl.

File metadata

Download URL: najaeda-0.7.9-cp312-cp312-win_amd64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.12, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`07296dd0e568ed2f9c9be27da828a4ad2a72151049d3965cf68eb3d2c6ea248d`
MD5	`fab75b7eff89d323be6bc42bc5dca594`
BLAKE2b-256	`64408a2cf83671f143cfaa08c861d5da03c342e930ccec11d0dbb97764dd3357`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp312-cp312-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.12, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`a1e8d438a78ec3d43685fb1b54f9b64f4979120f5a18c7384ff0826b12891364`
MD5	`72586c6d5c6e0f43bba617827381b3b9`
BLAKE2b-256	`9fee84c1d9e922e7c9ae865f92eb44dcf09a6bad469946aef8dece00d68cff19`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

Download URL: najaeda-0.7.9-cp312-cp312-manylinux_2_28_aarch64.whl
Upload date: Jul 3, 2026
Size: 8.4 MB
Tags: CPython 3.12, manylinux: glibc 2.28+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`9f6f43b474dbd2c62a7950cd0ee6c93450ec14b03694cd46c05e6549748a9138`
MD5	`48dd216c7df35f21bb8d6ea30b86ab91`
BLAKE2b-256	`c7c714b93db685d1bdc829f77574ddcf71311e0a8ee6d014dfc59d9b9f36650e`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp312-cp312-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.12, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp312-cp312-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`ff9f3d5e9551f171c6700f4c5ef2d1fc5369fdc6216095e31b0e94f9b6cfd5f1`
MD5	`8ca9eaa44971dee6517bcb7dadc069d6`
BLAKE2b-256	`bb417638895896645188a0b8c821f27a1d5b04a26ff534e3444f4e8534c074ba`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp311-cp311-win_amd64.whl.

File metadata

Download URL: najaeda-0.7.9-cp311-cp311-win_amd64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.11, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`6310bae095b94c946e7f122aed91437eeeae4f4b59b08f5da645c368eea06121`
MD5	`f7ded0d8bc221042e668c58427dd09c1`
BLAKE2b-256	`0e5f3c35a756eb5beafb96369c12b3357bdd4a9f22dadc7b97cc68fcd95f5532`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp311-cp311-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.11, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`7e802851d9134630706135f58c187d99a231acce412ae356373f8787bdfbce11`
MD5	`015d9fabfaa23f91e86f3b645502b796`
BLAKE2b-256	`9b19a1483c6fc01bc35345c70298ba8d514f6d989d291e5fa0dd85fe1cad651b`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

Download URL: najaeda-0.7.9-cp311-cp311-manylinux_2_28_aarch64.whl
Upload date: Jul 3, 2026
Size: 8.4 MB
Tags: CPython 3.11, manylinux: glibc 2.28+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`ad3a00618648b039aed654a3f129f622a476c12ec049d51759b613c3919d12f0`
MD5	`c3cbbbe8c1d7363f1049ad645afcb4dd`
BLAKE2b-256	`a4c67ef17812f4ea4a4036fb3fac27f7b978f7704c4d0d9e2c74bc50b08f4642`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp311-cp311-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.11, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp311-cp311-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`27441ba023793810f90398892f86e4832e5cd968ed95bd839a499ad83041ed91`
MD5	`d0517e7167366f049e2d2515a555482e`
BLAKE2b-256	`f7b331de04dbf82e57d7808ad829dbcf420f07435c83701950a0a4bb46902c7f`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp310-cp310-win_amd64.whl.

File metadata

Download URL: najaeda-0.7.9-cp310-cp310-win_amd64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.10, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`43fabcf8f1acf4dc8e56f5b3816a559db494c66686ea66ed0b5bbdff30b00053`
MD5	`9575bd6668871895354d72c1043c0179`
BLAKE2b-256	`473f59e1f412a26fa5edf4dc0e0c23fe8c428d48ec9c5adbbe1390662d40840e`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp310-cp310-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.10, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`cc3c734332ddec5230167a63c134122eeab50228ba314002f7c5c942b7659c58`
MD5	`808fa56cbd0fd173b392ca902937f879`
BLAKE2b-256	`35e056230c808afbc083dd7e29e97b996d3176bbf400d07e1da3700a6f597b4e`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

Download URL: najaeda-0.7.9-cp310-cp310-manylinux_2_28_aarch64.whl
Upload date: Jul 3, 2026
Size: 8.4 MB
Tags: CPython 3.10, manylinux: glibc 2.28+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm	Hash digest
SHA256	`3ad30d2990f25cf1f9710379677bcc89969c6342fbee4a6f266afb47dd25aa33`
MD5	`6f8cda2a0e58bf4cde0fbeed8655529e`
BLAKE2b-256	`e3eb1f2b5c9f0e32046addcb0981aacdd39ddde7b092bb2e76ba506584d6a386`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp310-cp310-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.10, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`8f9ae6d5ab34eb6262d61c3ffc5257632fabe8a9e030a4708442a3192d0152ab`
MD5	`7fdfe5201912884bd98bff25a627f534`
BLAKE2b-256	`89ac54fd209d095dee89330845e1e5c15dcd333d0d7aceecb9e9ed83927fc62f`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

Download URL: najaeda-0.7.9-cp39-cp39-manylinux_2_28_x86_64.whl
Upload date: Jul 3, 2026
Size: 9.2 MB
Tags: CPython 3.9, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`5c4fafde26e4897c9a7392910d8464de833f1487e04841ab6c2958cfb70b6823`
MD5	`e9b54ad1d7909f3f36c0b18fc5208af9`
BLAKE2b-256	`ee1cb20d252fb52e0c951104c78d66b947fe7f2bf897e3f7e6a5855e23c08ad3`

See more details on using hashes here.

File details

Details for the file najaeda-0.7.9-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

Download URL: najaeda-0.7.9-cp39-cp39-macosx_11_0_arm64.whl
Upload date: Jul 3, 2026
Size: 5.4 MB
Tags: CPython 3.9, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for najaeda-0.7.9-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`948185b6dde9d17505ef22c4818d36521ad10e5adcb521d1265897b4c00fdb0e`
MD5	`ecb640c024c44c239e54d49fbe33dd67`
BLAKE2b-256	`6d7c2f94038deea50c4a216bff231bae3d3ca568270231532a47db113e38e7c8`

See more details on using hashes here.

Release history Release notifications | RSS feed

0.7.20

Aug 4, 2026

0.7.19

Aug 2, 2026

0.7.18

Jul 27, 2026

0.7.17

Jul 22, 2026

0.7.16

Jul 17, 2026

0.7.15

Jul 16, 2026

0.7.14

Jul 15, 2026

0.7.13

Jul 13, 2026

0.7.12

Jul 9, 2026

0.7.11

Jul 8, 2026

0.7.10

Jul 6, 2026

This release

0.7.9

Jul 3, 2026

0.7.8

Jun 28, 2026

0.7.7

Jun 25, 2026

0.7.6

Jun 23, 2026

0.7.5

Jun 22, 2026

0.7.4

Jun 20, 2026

0.7.3

Jun 18, 2026

0.7.2

Jun 15, 2026

0.7.1

Jun 13, 2026

0.7.0

Jun 8, 2026

0.6.7

Jun 2, 2026

0.6.6

May 21, 2026

0.6.5

May 19, 2026

0.6.4

May 17, 2026

0.6.3

May 14, 2026

0.6.2

May 4, 2026

0.6.1

May 2, 2026

0.6.0

Apr 23, 2026

0.5.4

Apr 3, 2026

0.5.3

Mar 31, 2026

0.5.2

Mar 19, 2026

0.5.1

Mar 18, 2026

0.5.0

Feb 27, 2026

0.4.1

Feb 20, 2026

0.4.0

Feb 3, 2026

0.3.6

Jan 31, 2026

0.3.5

Jan 20, 2026

0.3.4

Jan 16, 2026

0.3.3

Jan 6, 2026

0.3.2

Dec 21, 2025

0.3.0

Dec 2, 2025

0.2.13

Nov 18, 2025

0.2.12

Sep 17, 2025

0.2.11

Sep 9, 2025

0.2.10

Sep 3, 2025

0.2.9

Aug 29, 2025

0.2.8

Aug 20, 2025

0.2.7

Aug 19, 2025

0.2.6

Aug 17, 2025

0.2.5

Aug 13, 2025

0.2.4

Aug 10, 2025

0.2.3

Aug 7, 2025

0.2.2

Jul 30, 2025

0.2.1

Jul 22, 2025

0.2.0

Jul 22, 2025

0.1.25

Jul 21, 2025

0.1.24

Jul 15, 2025

0.1.23

Jul 11, 2025

0.1.22

Jul 6, 2025

0.1.21

Jun 27, 2025

0.1.17

Jun 25, 2025

0.1.15

Feb 22, 2025

0.1.14

Feb 20, 2025

0.1.13

Feb 19, 2025

0.1.12

Jan 31, 2025

0.1.11

Jan 26, 2025

0.1.9

Jan 21, 2025

0.1.8

Jan 16, 2025

0.1.7

Jan 7, 2025

0.1.6

Dec 17, 2024

0.1.5

Dec 16, 2024

0.1.4

Dec 13, 2024

0.1.3

Dec 12, 2024

0.1.2

Dec 9, 2024

0.1.0

Nov 26, 2024

0.0.0

Jun 26, 2025

najaeda 0.7.9

What you can do

Installation

Tutorials

Links

License

Project links

Key dates

1 maintainer

Credits

License

Requires

Classifiers

Download files

Source Distributions

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details