2 projects for "website using python" with 2 filters applied:

  • Secure Cloud Storage for Files, Photos and Documents | pCloud Icon
    Secure Cloud Storage for Files, Photos and Documents | pCloud

    Store, access, and manage your files on your own terms, from anywhere.

    Store, sync, and share your files securely with pCloud. Get up to 10 GB of free secure cloud storage and access your files from any device, anywhere.
    Learn More
  • Free Website Monitoring Service | UptimeRobot Icon
    Free Website Monitoring Service | UptimeRobot

    The free online uptime monitoring service with an App is available for iOS and Android.

    With the Free Plan, you can monitor up to 50 URLs, check for a website's content (using the keyword monitor), ping your server or monitor your ports in 5-minute intervals. You can create a status page to showcase your uptime. SMS or Call alerts can be bought anytime.
    Learn More
  • 1
    csv2odf

    csv2odf

    csv2odf can convert csv data to formatted spreadsheets and documents.

    ...Just query your database with output to csv (or tsv), then use csv2odf to insert the data into your template to produce a nice looking formatted output. It is a command line tool and you can automate the generation of reports by using scripts and cron. It can be used to create spreadsheets and documents for LibreOffice, OpenOffice, Microsoft Office Excel and Word. It is open source GPL v3 and crossplatform, it can run on most operating systems that can run Python (Python is required). More details, example files, and online manual at http://csv2odf.sf.net.
    Downloads: 17 This Week
    Last Update:
    See Project
  • 2

    Super CSV

    A fast, programmer-friendly, free CSV library for Java

    ...This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. Super CSV is actively maintained, and the developers are ready and willing to help out if you get stuck :) Please check out the project website for examples and help getting started
    Downloads: 0 This Week
    Last Update:
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