Open Source Python Business Software - Page 37

Project's goal is to give scouts a better way to manage their groups

OpenSessame is a personnel entry control and time tracking management system. Platform independent, multi-node, client-server system, written in Python, with wxPython/wxWidgets client, a web management gui and PostgreSQL database backend.

OSIMS is a project to create an open source solution for "Issue Management" applications specifically related to tracking of product nonconformances, document distribution, and corrective action management. It will have a web interface.

Automated operation and maintenance platform: code and application deployment CI/CD, asset management CMDB, scheduled task management platform, SQL audit | rollback, task scheduling, on-site WIKI. A code deployment, application deployment, scheduled tasks, and equipment asset management platform. Welcome to star or fork my open source project. If you need to quote the project code in your own project, please declare the agreement and copyright information in the project. Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. Backend Task Framework, Celery + Redis. Programming language is Python 3.6. Operating System is CentOS 6+. Ansible version 2.6+. Deployment platform and node server Rsync 3+.

OptimaSAL (Sistemas Administrativos Libres) es un conjunto de herramientas para la gestión de pequeńas y medianas empresas. El objetivo es cubrir la necesidad de programas en plataformas libres tales como punto de venta, contabilidad, nomina, etc.

[See the files section for installation instructions] Optimal BPM™ is a project that aims to create an easy-to-use Business Process Management system (BPM) and tools. So far, only the tools, and only a data replication tool, Optimal Sync, has been released (available from the "files" page). But more is coming. It incorporates many different open source projects that relates to interoperability, transformation, context and process control. It has no business engine, instead it generates Python code and leaves the engine mechanics to its scripting engine. This enables it to: * be very flexible * be truly multi-platform * draw from all the features available to the language and its sprawling ecosystem * partake in that ecosystem as a library. It has a strong focus on ease of use and low maintenance. Anyone should be able to get started with minimal outside(consultants) help and quickly get the system working. Note : Its sibling projects, QAL (https://sf.net/p/qal)

Easily write code to clean, transform, explore and visualize data using Python. Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs.

Optopsy is a Python-based, nimble backtesting and statistics library focused on evaluating options trading strategies like calls, puts, straddles, spreads, and more, using pandas-driven analysis. The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. Here we also use Panda's round() function afterwards to return statistics within two decimal places.

Command-line tool lets you copy table data from Oracle to SQLServer database. Touch and go design.

Code, run and monitor your data pipelines all from your browser! From idea to scheduled pipeline in hours, not days. Interactively build your data science pipelines in our visual pipeline editor. Versioned as a JSON file. Run scripts or Jupyter notebooks as steps in a pipeline. Python, R, Julia, JavaScript, and Bash are supported. Parameterize your pipelines and run them periodically on a cron schedule. Easily install language or system packages. Built on top of regular Docker container images. Creation of multiple instances with up to 8 vCPU & 32 GiB memory. A free Orchest instance with 2 vCPU & 8 GiB memory. Simple data pipelines with Orchest. Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically.

Time and project management for personal use.

OrganizerCalendar is a command line utility written in python that will help you organize your upcoming appointments using only command line, so you can use for example ssh to manage your calendar from remote computer.

Management and Accounting software for small and French-like establishment.

Outlook Tasks is a program which allows users to prepend a A1..Z99: prefix in front of their Microsoft Outlook tasks. This prefix allows users to sort based on subject, providing greater granularity than the High, Medium, or Low that OL offers. Project

Outspline is a free and open-source modular outliner whose functionality can be extended with addons. The most important addon is Organism, which adds advanced time management features and turns the application into a personal organizer, perfectly suited for working with todo lists, scheduling tasks and reminding events.

Overtime meter is a small wxPython program which stays in your tray and counts the minutes your spend at work. Then by the end of the month you can tell your boss exactly how much extra money he should pay you.

PAFlow is an open source document tracking system. The project is sponsored by the AIPA (Italian Authority for the Information Technology in the Public Administration) and it is carried on by Icube, an open source company in Pisa, Italy.

Python script to merge and edit sensitive PDF files you don't want to upload to random sites you find on Google. Merge PDFs by adding one to another. Update a single page in a PDF (good for adding a signed page to a form) Insert a page into an existing PDF. Delete a page. Click on one of the buttons and a new window will pop up depending on the function. Pick your files and enter in the data. If there are no problems, a confirmation will pop up.

GimpPy uses img maps & an img as the input, output is a report.py file used to generate PDFs, the out files may run solo or chained together to make more complex multi page reports. Input required is a dict with vals for flds you have mapped on your img.

Merge your PDF files for upload to reporting engine or other needs. Command line, win32 Written in Python. Compiled with PyInstaller.

Python library and command line tool to generate maps in PDF format an place objects on them.

You can convert pdf files or slice them. It's developted by Python and interface device is Tkinter.

De PGB BudgetManager is een programma wat gebruikt kan worden voor het beheren van de administratie van iemand met een PGB.

PITy is a collection of Polish tax forms in SVG format with acompanying simple software to fill forms with data.

Petoron Seal Contracts (PSC) Fully binary .psc contract format TTL (time to live) built-in Ed25519 participant signatures Executed-flag to prevent reuse External .sig signature support Fully offline and P2P-ready Compatible with Petoron Time Burn Cipher (PTBC) https://github.com/01alekseev/PSC