hardwareSummary
A Swiss Army Knife library for system, hardware, and filesystem utilities. Reports OS / CPU / GPU / memory / disk / network, runs a CPU benchmark, organizes a downloads folder, indexes a filesystem to SQLite, generates a Mermaid gitGraph, and ships a streaming upload server plus a custom TCP file-transfer client/server. Python 3.6+, single runtime dependency (tabulate), heavy deps lazy-installed on first use.
pip install nodespecs
python -m specs # full system report
python -m specs bcpu # CPU benchmark
python -c "import specs; specs.info_gpu()"
install with UV
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env
uv python install 3.12
uv init
uv add nodespecs
uv pip install psutil
uv run -m specs
uv run -m specs bcpu
# or
source .venv/bin/activate
python -m specs bcpu
install and use with pip
pip install nodespecs
python -m specs
python -c "import specs; specs.bench_cpu()"
python -c "import specs; specs.hardware.get_system_info()"
python -c "import specs; specs.info_gpu()"
python -c "from specs import disk;print(disk.resolve_user_path())"
python -c "from specs.disk import resolve_user_path;print(resolve_user_path())"
# clean and orgnized download folder for WINDOWS user
python -m specs fclean
# for the machine not compatible with psutil
python -m specs -v
python -m specs -l=1
python -m specs bcpu
python -m specs upload
python -m specs server
python -m specs cld -i='172.25.1.228'
File Indexer Script
Usage
Run the script as a module from the repository root:
python -m specs.disk.drive
To index a custom directory, pass --dir with a Windows raw path literal:
python -m specs.disk.drive --dir "F:\\"
To set the SQLite output path explicitly:
python -m specs.disk.drive --dir "F:\\" --db "F:\\file_index.db"
Expected Output
On success:
Indexed <N> files
Successfully exported to SQLite database: <path>\file_index.db
On failure to export:
Indexed <N> files
Export failed: <error message>
## server
python -c "import specs; print(specs.__version__)"
python -c "import specs; specs.whoish()"
python -c "import specs; specs.server()"
## client upload wt progress bar
python -c "import specs; specs.client('172.25.1.175', 12345,'./README.md',False)"
## client upload wo progress bar
python -c "import specs; specs.client('172.25.1.175', 12345,'./README.md',False)"
## client upload top level files in the cwd
python -c "import specs; specs.clientd('192.168.0.157')"
python -c "import specs; specs.clientd('192.168.0.157', 12345)"
sudo apt update
sudo apt install python3-pip
python3 -m pip install nodespecs && python3 -m specs
import specs
specs.info_gpu()
specs.bench_cpu()
Deprecated (install and use with git)
!git clone https://github.com/jinsanity07git/hardwareSummary && python hardwareSummary/hardware.py && python hardwareSummary/cpu-benchmark.py
git clone https://github.com/jinsanity07git/hardwareSummary && python hardwareSummary/hardware.py && python hardwareSummary/cpu-benchmark.py
sudo apt upgrade
sudo apt install python3-pip
git clone https://github.com/jinsanity07git/hardwareSummary && python3 hardwareSummary/hardware.py && python3 hardwareSummary/cpu-benchmark.py
CPU collection
| Nickname | CPU | Arch | OS | Python | Benchmarking | Comb | Score |
|---|---|---|---|---|---|---|---|
| TC01 | Intel(R) Core(TM) i9-14900K | x86_64 | Linux 5.15.153.1-microsoft-standard-WSL2 | 3.12.12 | 5.43 | Core-i9-14900KF | 39.25 |
| lab-aws | Intel(R) Xeon(R) Platinum 8488C | x86_64 | Linux | 3.11.12 | 11.174 | 38.76 | |
| TC14 | 13th Gen Intel(R) Core(TM) i9-13900K | AMD64 | Windows 10 | 12.991 | Core-i9-13900K | 38.76 | |
| TC17 TC16 |
Intel(R) Core(TM) i9-14900KF | AMD64 | Windows | 15.654 | Core-i9-14900KF | 39.25 | |
| iPhone 14 Pro Max iPhone15,31 |
Apple A16 Bionic2 | arm64e | Darwin 23.4.0 | 15.962 | |||
| 10cent CloudStudio | Intel(R) Xeon(R) Platinum 8255C CPU @ 2.50GHz | x86_64 | Linux | 3.10.11 | 19.891 | ||
| TC19 | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz | sAMD64 | Windows 10 | 20.534 | Core-i7-9700K | 9.45 | |
| Dell Precision 5690 | Intel(R) Core(TM) Ultra 9 185H | AMD64 | Windows 11 Pro | 3.8.12 | 23.824 | ||
| CHINAMI | Intel(R) Xeon(R) w5-3435X | AMD64 | Windows 10 | 23.849 | Xeon w5-3435X | 28.58 | |
| Dell Precision 3561 | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz | AMD64 | Windows | 23.852 | Core-i7-11800H | 13.47 | |
| github codespaces | AMD EPYC 7763 64-Core Processor | x86_64 | Linux | 24.259 | EPYC-7763 | 54.65 | |
| alibaba t5 | Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GH | x86_64 | Linux | 3.12.3 | 25.44 | ||
| TC07 | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz | AMD64 | Windows | 26.723 | Core-i7-9700K | 9.45 | |
| oracle cloudshell | ARM Cortex-A53 | aarch64 | Linux | 27.489 | |||
AWS t2.micro |
Intel(R) Xeon(R) CPU E5-2676 v3 @ 2.40GHz | x86_64 | Linux | 27.785 | Core-i7-9700K | 8.81 | |
| AWS workspace | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz | x86_64 | Linux | 3.10.12 | 29.355 | ||
| google cloudshell | Intel(R) Xeon(R) CPU @ 2.20GHz | x86_64 | Linux | 29.818 | |||
| WUYING: 8 vCPU / 16 GiB Linux | Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz | x86_64 | Linux | 33.572 | Xeon-Platinum-8163 | ||
| TC03 TC11 |
Intel(R) Xeon(R) Gold 6248R CPU @ 3.00GHz | AMD64 | Window | 34.612 | Xeon-Gold-6248R | 23.26 | |
| 2018 Macbook pro | Intel(R) Core(TM) i7-8559U CPU @ 2.70GHz | x86_64 | Darwin 22.1.0 | 37.105 | Core-i7-8559U | 5.38 | |
| JVM | Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz | x86_64 | Linux | 38.685 | Xeon-Gold-6126 | 12.21 | |
| TC01 | Intel(R) Xeon(R) CPU E5-2643 v4 @ 3.40GHz | AMD64 | Windows | 39.258 | Xeon-E5-2643-v4 | 7.62 | |
| Jquant | Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz | x86_64 | Linux | 40.128 | Xeon-Platinum-8163 | ||
| google colab free tier | Intel(R) Xeon(R) CPU @ 2.20GHz | x86_64 | Linux | 43.078 | |||
| aws cloudshell | Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz | x86_64 | Linux | 49.396 | |||
| JVM | Intel(R) Xeon(R) Gold 6126 CPU @ 2.60GHz | AMD64 | Windows | 62.969 | |||
| binder-examples/conda3 | Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz | x86_64 | Linux | 74.349 | Xeon-Gold-6140 | 15.8 | |
| serv00-FreeBSD | Intel(R) Xeon(R) Silver 4214R CPU @ 2.40GHz | AMD64 | Linux | 75.571 | |||
| Oracle 1G-1G-0.5Gbps | AMD EPYC 7551 32-Core Processor | x86_64 | Linux | 98.732 | EPYC-7551 | 14.67 | |
| mini PC | Intel(R) Atom(TM) x5-Z8350 CPU @ 1.44GHz | x86_64 | Linux | 135.107 | Atom-x5-Z8350 | 0.57 |
- Note
- Kinds of Arch explanation4
GPU collection
| id | name | total memory | Synthetic benchmark | CUDA API |
|---|---|---|---|---|
| 17 | NVIDIA GeForce RTX 4060 | 8188.0MB | 50.69 | NA |
| colab 10cent CloudStudio |
Tesla T4 | 15360.0MB | 28.16 | 70627 |
| 5690 | NVIDIA RTX 3500 Ada Generation Laptop GPU | 12282 MB | ||
| dell | NVIDIA T600 Laptop GPU | 4096.0MB | 16.69 | 26600 |
| 01 | Quadro M4000 | 8192.0MB | 17.27 | 16648 |
Feature in develop
- work through ws, transfer file using
websocket - py-ios-device python based Apple instruments protocol，you can get CPU, Memory and
- Streaming upload server in Python extended from uploadserver.other metrics from real iOS devices
Performance source
- https://browser.geekbench.com/ *
- https://technical.city/en/video/GeForce-RTX-4060-vs-Tesla-T4
- https://technical.city/en/video/Tesla-T4-vs-T600
1 maintainer
Metadata
1 maintainer
Release files for nodespecs 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nodespecs-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.8 kB
Release files / nodespecs-0.4.0.tar.gz
| Download URL | nodespecs-0.4.0.tar.gz |
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| Size | 42.4 kB |
| Tags | Source |
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| Download URL | nodespecs-0.4.0-py3-none-any.whl |
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| Size | 45.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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