HardView

A comprehensive Python library for collecting hardware information and performance monitoring on Windows and Linux.

These details have not been verified by PyPI

Project links

Project description

HardView 2.0.0 - Advanced Hardware Information and Performance Monitoring Library

A comprehensive Python library for querying low-level hardware information and monitoring system performance on Windows and Linux systems.

Features: - Hardware Information: BIOS, System, Baseboard, Chassis, CPU, RAM, Disk, Network - Performance Monitoring: Real-time CPU and RAM usage monitoring - Cross-platform Support: Windows (WMI) and Linux (/proc, /sys) - JSON Output: All data returned in structured JSON format - Modular Architecture: Clean, maintainable codebase - Duration-based Monitoring: Monitor system performance over specified time periods

Hardware Information Functions: - get_bios_info(): BIOS manufacturer, version, release date - get_system_info(): System manufacturer, product name, UUID, serial - get_baseboard_info(): Motherboard manufacturer, product, serial, version - get_chassis_info(): Chassis manufacturer, type, serial, version - get_cpu_info(): CPU name, cores, threads, speed, processor ID - get_ram_info(): Total memory, individual memory modules - get_disk_info(): Disk drives, models, sizes, interfaces - get_network_info(): Network adapters, MAC addresses, IP addresses

Performance Monitoring Functions: - get_cpu_usage(): Current CPU usage percentage - get_ram_usage(): Current RAM usage statistics - get_system_performance(): Combined CPU and RAM usage - monitor_cpu_usage_duration(): Monitor CPU over time period - monitor_ram_usage_duration(): Monitor RAM over time period - monitor_system_performance_duration(): Monitor both over time period

All functions return JSON-formatted data for easy parsing and integration.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

3.3.1

Oct 28, 2025

3.3.0

Oct 25, 2025

3.3.0b1 pre-release

Oct 15, 2025

3.2.0

Sep 29, 2025

3.2.0b2 pre-release

Sep 14, 2025

3.2.0b1 pre-release

Sep 6, 2025

3.1.1

Sep 1, 2025

3.1.0

Aug 30, 2025

3.1.0b2 pre-release

Aug 25, 2025

3.1.0b1 pre-release

Aug 20, 2025

3.0.3

Jul 17, 2025

3.0.2

Jul 15, 2025

3.0.1

Jul 12, 2025

3.0.0 yanked

Jul 12, 2025

Reason this release was yanked:

This release contains corrupted wheels and is not installable

2.0.3

Jul 9, 2025

2.0.2

Jul 1, 2025

2.0.1

Jul 1, 2025

This version

2.0.0

Jul 1, 2025

1.1.2

Jun 30, 2025

1.0.0

Jun 29, 2025

0.1.0

Jun 17, 2025

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.

hardview-2.0.0-cp313-cp313-win_amd64.whl (24.0 kB view details)

Uploaded Jul 1, 2025 CPython 3.13Windows x86-64

hardview-2.0.0-cp313-cp313-win32.whl (19.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.13Windows x86

hardview-2.0.0-cp313-cp313-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (38.5 kB view details)

Uploaded Jul 1, 2025 CPython 3.13manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp313-cp313-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.4 kB view details)

Uploaded Jul 1, 2025 CPython 3.13manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

hardview-2.0.0-cp312-cp312-win_amd64.whl (24.0 kB view details)

Uploaded Jul 1, 2025 CPython 3.12Windows x86-64

hardview-2.0.0-cp312-cp312-win32.whl (19.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.12Windows x86

hardview-2.0.0-cp312-cp312-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (38.5 kB view details)

Uploaded Jul 1, 2025 CPython 3.12manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp312-cp312-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.4 kB view details)

Uploaded Jul 1, 2025 CPython 3.12manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

hardview-2.0.0-cp311-cp311-win_amd64.whl (24.0 kB view details)

Uploaded Jul 1, 2025 CPython 3.11Windows x86-64

hardview-2.0.0-cp311-cp311-win32.whl (19.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.11Windows x86

hardview-2.0.0-cp311-cp311-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (39.2 kB view details)

Uploaded Jul 1, 2025 CPython 3.11manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp311-cp311-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.9 kB view details)

Uploaded Jul 1, 2025 CPython 3.11manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

hardview-2.0.0-cp310-cp310-win_amd64.whl (24.0 kB view details)

Uploaded Jul 1, 2025 CPython 3.10Windows x86-64

hardview-2.0.0-cp310-cp310-win32.whl (19.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.10Windows x86

hardview-2.0.0-cp310-cp310-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (39.2 kB view details)

Uploaded Jul 1, 2025 CPython 3.10manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp310-cp310-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.9 kB view details)

Uploaded Jul 1, 2025 CPython 3.10manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

hardview-2.0.0-cp39-cp39-win_amd64.whl (24.0 kB view details)

Uploaded Jul 1, 2025 CPython 3.9Windows x86-64

hardview-2.0.0-cp39-cp39-win32.whl (19.8 kB view details)

Uploaded Jul 1, 2025 CPython 3.9Windows x86

hardview-2.0.0-cp39-cp39-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (38.9 kB view details)

Uploaded Jul 1, 2025 CPython 3.9manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp39-cp39-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.5 kB view details)

Uploaded Jul 1, 2025 CPython 3.9manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

hardview-2.0.0-cp38-cp38-win_amd64.whl (23.9 kB view details)

Uploaded Jul 1, 2025 CPython 3.8Windows x86-64

hardview-2.0.0-cp38-cp38-win32.whl (19.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.8Windows x86

hardview-2.0.0-cp38-cp38-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl (39.1 kB view details)

Uploaded Jul 1, 2025 CPython 3.8manylinux: glibc 2.12+ x86-64manylinux: glibc 2.28+ x86-64

hardview-2.0.0-cp38-cp38-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl (40.7 kB view details)

Uploaded Jul 1, 2025 CPython 3.8manylinux: glibc 2.12+ i686manylinux: glibc 2.17+ i686

File details

Details for the file hardview-2.0.0-cp313-cp313-win_amd64.whl.

File metadata

Download URL: hardview-2.0.0-cp313-cp313-win_amd64.whl
Upload date: Jul 1, 2025
Size: 24.0 kB
Tags: CPython 3.13, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for hardview-2.0.0-cp313-cp313-win_amd64.whl
Algorithm	Hash digest
SHA256	`cf5cfefe110e5f817619ed504b979824d26681decd0674caf1f18d5ff1caa2cb`
MD5	`603db8a8b2505c7dc66ba335f9aeb193`
BLAKE2b-256	`675fcf504d5c8d9ea894806cd97623ccd0a51195cd8217637049c85d315f00dc`

Algorithm	Hash digest
SHA256	`75966d16e54c1f3063929eb3747b3ecd2d7fdfadcbd939e42909e539fd8d2d1a`
MD5	`74c335ec3b2f4965022c90722df8afd6`
BLAKE2b-256	`f4ec0a42119f524daff932c244d3384f7da73e6fbbd6b609b8a0301ba44b9914`

Algorithm	Hash digest
SHA256	`8bdcdc22fa187a4c62ad9e91cc45d83e1275933d50674bfb5f1efc7c41a82bbb`
MD5	`c06434f5e2a5267608cbcf79529b78d4`
BLAKE2b-256	`9e54f40f5c991737afcdec25b885c07acfef7815486562e30ba183f2f2939e30`

Algorithm	Hash digest
SHA256	`c7047c1c57f9cf617fe121a03b426bb1e725c3499c5eb2e0f9c4f5dacd9bee4b`
MD5	`415bb01656281105911bb4725fec2558`
BLAKE2b-256	`087dedc6df61dc8518c18aab0ac10a2cf1721efcb21a882d6d0255d14f702e82`

Algorithm	Hash digest
SHA256	`94f8c63b333d9367fd602c509e1f16561f89ec09f45cb345a74b59ee92b47348`
MD5	`06df649948146ecee2825299bb0033e4`
BLAKE2b-256	`d7ce5472123675f5790df6083bf94e835b41da5d9c4e18d2f602a17b2d5f3864`

Algorithm	Hash digest
SHA256	`8bb04d67b6ef6f73f997ca97dcfdc9011d592f013febe1b51c656e3a7c6ea832`
MD5	`f1e7f7d63ae975ab0183c49e88a02576`
BLAKE2b-256	`bf6d397d8474c1a4763b1983570386349b27e507353497648a65369262b31e9e`

Algorithm	Hash digest
SHA256	`75f127f7d3ff67138501b6dbf0190ba113f6fdbd6ea12b77c329525e2937ff67`
MD5	`200a697a34a3a013c757db9f174673d3`
BLAKE2b-256	`b4beda5ad6f9ec533506ab149c71092b44ce5f66f758bdf7e1c3a1a38dade7f5`

Algorithm	Hash digest
SHA256	`62e255f59aad230c270d0921f01747b39a3e35b00f7e75a34830cfaa55b194b9`
MD5	`d8464c88fe37ee52d1e10cf53a4c4462`
BLAKE2b-256	`407d788229d71795df6c5e53608c9981107a29b6e14630dee3127e527a7d142c`

Algorithm	Hash digest
SHA256	`4d2a5c5bcc639098675ec7e5c7e657a8f61d75bd458a67f9e8e88fb252e2062f`
MD5	`a39ea76bda7a5b2b77a5c5cce2064d0e`
BLAKE2b-256	`406563c3260f9f842d29c7f7f1c6dea0ffc812908af66d414cf33ded7d6b113d`

Algorithm	Hash digest
SHA256	`987de526017d9e18f9c34f838a5d5c795315d18b3075d22411188a4fd51eaee0`
MD5	`1598c32736a3e9b37e72102da270e275`
BLAKE2b-256	`de5473beefb3397e0729818e1791a052d03c793d73227737b7ffdcd3bc765547`

Algorithm	Hash digest
SHA256	`d4097ca7b1afebc90b00ca254408acc5677aafef709c37630287867016d2fdd0`
MD5	`7e94263bdb08dc05c57088aa68969b48`
BLAKE2b-256	`5ce5e60fdd1e142c8d56236ac0c5c4d06d1c0d3d62820b6ae32a61b28e88e4d9`

Algorithm	Hash digest
SHA256	`f71157c6a58b2ce129b77e6b3414223c353bfff07ab2e30ce20f77af2b769ad1`
MD5	`34a3a59785042ce18603a8df6ba15bba`
BLAKE2b-256	`0d1ffc7758b097011bcd798bbae65e8409b24163adfb27dd787a8576a3937ac6`

Algorithm	Hash digest
SHA256	`86932608c76a6cbe0062bde9c13b91e3175f1f657907d5ce21b9c260322c71dd`
MD5	`8b1bfc1b9d79d8a103e6889576857793`
BLAKE2b-256	`7601f71e01186aa88fc98329c5776cb8642d1c50ea72e1d782f6ca01233332ec`

Algorithm	Hash digest
SHA256	`fe92c8713a306d181b4cfe1b13acfabcbc4b6e5c2d146d378a64456439216f81`
MD5	`eedf22f75bf09d1afcad79a12311adcc`
BLAKE2b-256	`fcd769ed4c8f9d0f1d7583fa07989e8f1b99a98f3748bb2d7d4774cbd5b4febe`

Algorithm	Hash digest
SHA256	`de6a84966153ca1c7ebbe644f4adf792cf4113f71ea58e6d3589fb7f86673b00`
MD5	`cf9f24d2d9f5e5dbf2d30379a4ae6716`
BLAKE2b-256	`9414f91bfc57635028f91b313b70072471df4a2023a3783cb77fbc9cbe8c3c24`

Algorithm	Hash digest
SHA256	`e1befd6d8678100f6e785c59ac7a0cbeea9b10f07627c8024e7b4551b35e6f3e`
MD5	`9d27e56a7f009a9d0bf2cb9747dd25a5`
BLAKE2b-256	`43053abe25ad9e946e26fb1e95e91f2b4405147662ba2c90c8e5d1bd2acb78d6`

Algorithm	Hash digest
SHA256	`c707dc1f47c8d5621f913fac534290f28b33bd3bfcdfc09757690215ead8afb5`
MD5	`4cfa83581740f1d27e4b835bd2ffbcb5`
BLAKE2b-256	`397c0d48e247d82a90975c55482a78002112e38e05c2e879c7b361b9cb8d91c1`

Algorithm	Hash digest
SHA256	`9ebda5d58000ad64dd9336f96c8a508f6d0b0e390cc8e904e41fdbd74759db9a`
MD5	`9f940eecaa77691c2e690cb22125a558`
BLAKE2b-256	`e595f43060f3df5684510cf4b74a357ed7675a9672241d043f2f454a31e68e58`

Algorithm	Hash digest
SHA256	`b71c02b31e8697466098101b633e1aa00913f282db829b061075929c3ff59ecd`
MD5	`d1eac735279390a4d19963a609e9f290`
BLAKE2b-256	`c8c56ae79f881c660e4aa0e9cc23a3b979ced7c883e458125f3f14ead6fa7ec2`

Algorithm	Hash digest
SHA256	`797507f1accda1af5d869450872daa2642362e71ec649a6cf0b9f6c3a7f9f381`
MD5	`ba22dcda7e22f4d7d7d7d2965c36e0da`
BLAKE2b-256	`af9945d8fe9aad350a19caf2acd82462b29cb40431121d7b3621ebad60e9f82a`

Algorithm	Hash digest
SHA256	`ead7964c8174fb176e05474268e4d3e28668d58ef66fd959eb4556348b328c2c`
MD5	`d1175786e334b992c1dec8f6456e41da`
BLAKE2b-256	`36fd72a14e578610b182a79644a002f4040eb1e9ce7ff1a88f5f3f973920f983`

HardView 2.0.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

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

Algorithm	Hash digest
SHA256	`c1faa15e271bc618d00fc89e6c1e656d13dbd284fa945bc24df739d18b9fea19`
MD5	`f2663c4a975c1b88288d4749e1a3dd5d`
BLAKE2b-256	`d2c7f826adbf1e90b426fbcdff16ef7e0809940025998a7307224e6af7787b55`

Algorithm	Hash digest
SHA256	`65df5835a780b3a712d87cb06772f6ee203a69ce3d80646ac40a0af7b5cad9db`
MD5	`9d12dea515f6ab2180a3266ba5855c8e`
BLAKE2b-256	`a3696cd0203fbd4ac57759fefba08d3e7db6e9cd5f69f82a3ba80ae93848cccd`

Algorithm	Hash digest
SHA256	`5e7427bab8b37658a8efa93b10e4797209c3bb47f45b61259127ab8adef4ec42`
MD5	`e660e699467a8a690a10309ad48d87e3`
BLAKE2b-256	`7d22f8a542c8af893577f761dfc1b46fe9b8e12b6994523b2ce31cc6b3c897ef`