Skip to main content

A GUI wrapper for pyCLAMs. Rewritten using Flask.

Project description

About

This project is a GUI wrapper for pyCLAMs:

pyCLAMs: An integrated Python toolkit for classifiability analysis [J]. SoftwareX, Volume 18, June 2022, 101007, doi: 10.1016/j.softx.2022.101007

The original version is developed in ASP.Net MVC (http://qsi.zhangys.org.cn/research/cla/). This project has rewritten it using Flask.

Install and Run

  1. pip install wCLAMs The package will be installed into USER\anaconda3\Lib\site-packages\wCLAMs
  2. python -m wCLAMs.run
    • Serving Flask app "run" (lazy loading)
    • Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
    • Debug mode: off
    • Running on http://0.0.0.0:5005/ (Press CTRL+C to quit) 127.0.0.1 - - [20/Apr/2022 12:16:51] "GET / HTTP/1.1" 200 - WARNING: QApplication was not created in the main() thread. 127.0.0.1 - - [20/Apr/2022 12:16:57] "POST /submit HTTP/1.1" 200 - 127.0.0.1 - - [20/Apr/2022 12:17:03] "POST /submit HTTP/1.1" 200 -
  3. Go to http://localhost:5005/

Run directly from source

  1. git clone https://github.com/zhangys11/wCLAMs.git
  2. cd wCLAMs/app/
  3. python wCLAMs.py
  4. Go to http://localhost:5005/

ScreenCut

Project details


Download files

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

Source Distribution

wCLAMs-0.1.3.tar.gz (100.9 kB view details)

Uploaded Source

Built Distribution

wCLAMs-0.1.3-py3-none-any.whl (203.8 kB view details)

Uploaded Python 3

File details

Details for the file wCLAMs-0.1.3.tar.gz.

File metadata

  • Download URL: wCLAMs-0.1.3.tar.gz
  • Upload date:
  • Size: 100.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/1.5.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for wCLAMs-0.1.3.tar.gz
Algorithm Hash digest
SHA256 abb1aa8c44832068c3e901b1301123e341aaefc875183a446f305bc04500ed45
MD5 e48a04ee96d8aaa1d9f28a82794a4ba1
BLAKE2b-256 d081f3b330a018417a7931dadddaa96cb22acf01d45e10cd3f76f328901e255c

See more details on using hashes here.

File details

Details for the file wCLAMs-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: wCLAMs-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 203.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/1.5.0 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for wCLAMs-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 124fff5eab0c3fd977a7d56a4ca9724c6c6f7fd3875cb4e7d56c9e5bcff06072
MD5 96ad5880c93f7525804ee1c7da8747c3
BLAKE2b-256 d51b0edcbb8ea709a4e0158a1063c514ec5257a6fa5b75c2a228296e3c3183e2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page