Open Source Python Business Software for Mac - Page 22

Projeto de ERP OpenSource Voltado para o Ramo Imobiliário. Desenvolvido em Zope/Mysql

OpenLogistic is a web based online logistic solution. It's focused on SME logistic enterprises and based on django framework. His design is focused in a clean user interaction and a complete set of tools to allow an easy management.

OpenOffice.org Utility Library modules for creating Open Document Format (ODF) documents which can be read by Office Suites including OpenOffice.org, LibreOffice.org, and Microsoft Office. Currently, ooolib-python can create Calc spreadsheet ODS documents. These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics, underline, font size, font color, background color, etc.) - Set column and row attributes including width and height I am currently hosting the new development code at the following URL: https://github.com/josephcolton/ooolib-python I will be posting releases here on SourceForge as well as GitHub, so you can come to either place for the releases. The newest code will only be available using Git on GitHub.

Follow us on www.openpiv.net and Github: http://github.com/openpiv

An Open-source hair/beauty salon management system

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+.

[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.

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.

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.

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.

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

ProbAbilistic CALculator - a package for computing with probability distributions

Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. Padasip supports both supervised and unsupervised filtering modes and is built to be modular and extensible, making it easy to integrate into larger machine learning pipelines or control systems.

palm2ics project provides a set of tools (Python converter, HotSync conduit) for Palm desktop (v4.1+) and Palm OS 5 devices (T5, TX, Z21...) synchronization towards iCalendar files (RFC 2445).

Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis.