Open Source Python Software Development Software - Page 83

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

The Oracle 8 Python Interface (oci8py) is a Python module for accessing Oracle 8 specific features from within Python.

The Orator ORM provides a simple yet beautiful ActiveRecord implementation. The Orator ORM is based on conventions to avoid the hassle of defining every single aspect of your models. It is inspired by the database part of the Laravel framework, but largely modified to be more pythonic. All you need to get you started is the configuration describing your database connections and passing it to a DatabaseManager instance. If you have multiple databases configured you can specify which one is the default. For MySQL and PostgreSQL, the connectors are configured to return unicode strings. If you want to use the previous behavior just set the use_unicode configuration option to False. Once you have configured your database connection, you can run queries. To run a set of operations within a database transaction, you can use the transaction method which is a context manager.

Orbi takes a GitHub Issue from label to release. When an Issue is marked ai-ready, Orbi builds the change in a dedicated worktree and opens a pull request. A reviewer agent, separate from the one that wrote the code, compares the PR with the Issue's acceptance criteria and repairs it. Orbi then merges only that reviewed head and publishes a tagged GitHub release. It is installed from the GitHub repo, with the CLI on PyPI as orbi-cli and Docker images on GHCR and Docker Hub, and can also be used as the hosted Orbi Cloud. Project site: https://orbi.build/?ref=dir-sourceforge , source: https://github.com/orbi-build/orbi

The purpose of this project is to make available a variety of tools written in Python.

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.

OrgLDAP is an extensible LDAP user management application supporting groups, *NIX (POSIX, Shadow), Samba and other account types, SSH public keys and sudo roles. It includes a reusable extensible library and a web-based front-end.

Orwell is a debugging engine written in Python and C++. It allows programatic debugging, meaning you can inherit from all of the debugger's classes and add your own functionality. It also aims to provide great support for breakpoints en masse.

Otro Sistema Operativo Instructivo - Other Simulator of an Operating System.

Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.

Otto is a pythonic web frame work based on XIST and Webware. It can be used to generate forms from arbitrary python objects.

Ouroboros will monitor (all or specified) running docker containers and update them to the (latest or tagged) available image in the remote registry. The updated container uses the same tag and parameters that were used when the container was first created such as volume/bind mounts, docker network connections, environment variables, restart policies, entrypoints, commands, etc. Push your image to your registry and simply wait your defined interval for ouroboros to find the new image and redeploy your container autonomously. Notify you via many platforms courtesy of Apprise. Serve metrics for trend monitoring (Currently: Prometheus/Influxdb) Per-command and scenario examples can be found in the wiki.

ODPdom is a simple non-validating DOM (Document Object Model) parser written in C++. It can handle relatively large XML files with the size in order of n*10 MB (pro file). ODPdom provides a SWIG-generated interface to Python.

P4Spam is a Perforce change review daemon that generates HTML-styled email notifications.

1. Add JBoss Application Server 4.2.3.GA for JDK 6. 2. Cleanup for Windows and deprecated files. 3. Off CONSOLE records - http://forums.dcm4che.org/jiveforums/thread.jspa?messageID=4787

PATH is a unique two-dimensional programming language. Unlike conventional programming languages, which read a program in a left-to-right, top-to-bottom fashion, PATH programs can go up, down, left, and right, and change directions at will.

PAWed is a simple, easy to use, source code editor, written for GNOME2 and utilising Scintilla, which is extensible through plugins (e.g. HTML Tidy plugin) and Python scripting.

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

PDO: Python Database Objects. Database Module for Python based upon DB-API 2.0: featuring column access by name and high performance. Similar in API to ADO, JDBC.

A GitHub app to automatically review Python code style over Pull Requests. PEP 8 Speaks is a GitHub integration which detects Python code style issues on new Pull Requests. You can install it on your Python projects and configure with your own code style. Check out the project on GitHub. Maintainers of Python projects have a difficult time reviewing Pull Requests by new contributors who may not be aware of the code style. This project makes reviewing Pull Requests a little bit easier. Style issues get lost in the long CI build logs and the authors of the Pull Requests are not notified about them (unless flake8 is strict about failing the build). Thus, new issues are overlooked and introduced in the project. PEP 8 Speaks can read the setup.cfg file and adopt your already existing flake8/pycodestyle settings. PEP 8 Speaks is free of cost. By default, it can not work on private repositories.

pgapack, the parallel genetic algorithm library is a powerfull genetic algorithm library by D. Levine, Mathematics and Computer Science Division Argonne National Laboratory. The library is written in C. PGAPy wraps this library for use with Python.

This tool creates a PHP class to interface to a given database table. The PHP class is a simple relational object mapper. It maps table columns to class attributes. It provides basic CRUD methods as well as utility methods such as CSV import and export.

A PHP code obfuscator written in Python. It's going to work especially with Zend Framework projects

Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! Power Management set as High Performance .. in Balanced is slow)