Open Source Python Software Development Software - Page 74

"A Program is a Process, not a Thing." This project is about programming for the fun of it and will contain tutorials, notes, code and tips for learning to program, setting up servers, etc.

Llama Cloud Services is a suite of tools designed to facilitate the integration of large language models (LLMs) into applications. It offers components for parsing, extracting, and reporting on complex documents, streamlining the process of preparing data for LLM consumption.​

LocalStack is a fully functional local AWS cloud stack that enables you to develop and test your cloud and serverless apps offline. It spins up an easy-to-use testing environment on your local machine that has the same APIs and works the same way as the real AWS cloud environment. It can spin up a number of different core Cloud APIs on your local machine, including API Gateway, Kinesis, DynamoDB, Firehose, Lambda and many others. LocalStack was built on some of today’s best-of-breed mocking/testing tools, combining them and making them interoperable, and adding important functionality such as error injection and pluggable services. All this happening locally, without ever talking to the cloud.

The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.

log4py is a logging module for python, similar to log4j

LoggiFly is a lightweight, open-source monitoring tool designed to watch Docker container logs in real time and trigger alerts, notifications, or automated actions based on predefined keywords or regular expression patterns. Instead of manually scanning logs for issues or relying solely on centralized monitoring stacks, LoggiFly proactively inspects streams of container output and notifies users through services like Ntfy, Slack, Discord, Telegram, or webhooks when significant events occur. It supports plain text, regex, and multi-line pattern matching, and its flexible alert templating lets operators tailor messages for clarity and context, including attaching relevant log excerpts. Beyond notifications, LoggiFly can take automated actions such as restarting or stopping containers when specific critical patterns are detected, which is especially useful for preventing damage from misbehaving services.

Logix is a programming language where the syntax can be easily modified.

LogoROS is new object-oriented operation system (currently in early development). See wiki page: https://sourceforge.net/apps/mediawiki/logoros/ and development blog: https://sourceforge.net/apps/wordpress/logoros/ for more info.

LucidEngine is a simple layer over MIDP compatible phones that will let you write simple and old fashioned games using a specific language. Every game you'll develop will basically work on all the devices (even not phones) LucidEngine as been ported.

Luke is a Software Development Toolkit with a source code browser and tools for managing software development projects that may be missing from the typical IDE.

The Cloud Computer for your self.

Lusca is a test-framework for testing network applications under unix-like operating systems. Provides remote equipment control, automated script execution, event logging and more.

Ly: a 'lyterate' programming engine written in Python, featuring an easy-to-read syntax based on indentation. Source files look very similar to the HTML produced from them. Does chunking (arrange the code as you like, not as your compiler wants you to).

Build windows executable from your Python file, with areas that requires your program info, description, Icon etc. It is possible to load existing data sets, given they are under corresponding Pickle formats, while saving also generates an Pickle file. Info fields can meet most demands, Windowed or consoled program type. One-file or Folder package, Encryption module, Hidden-Imports, UPX Compatible, Icon, program end-name, Debug mode and more.

MATmute is a MATLAB code mutation system targeted at developers of scientific software. The package includes a mutator, a MATLAB function to call the mutator and run the mutants, and some examples to demonstrate how to use the system.

Disclaimer:im still working on this project please provide any feedback of bugs if you want :D helps me improve the experience for others. Also, windows might flag the exe file for a virus as it a python to exe file (might fix it later) this explains why it could be flagged as a virus on some virus detectors: https://s.id/1Cuk1 MAX StressTester is an open-source stress testing tool developed by ssit, available on the popular software development platform, SourceForge. The tool is written in Python, making it easy to use and highly customizable for stress testing purposes. The MAX StressTester tool allows users to simulate high loads of traffic on their websites or servers to test their performance and reliability under heavy usage. It can also be used to identify and diagnose performance issues, allowing developers to fine-tune their systems for optimal performance.>>> Im happy to provide source code for any other projects would want to include this into

1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.

mcpm.sh is an open-source command-line package manager and registry designed for managing Model Context Protocol (MCP) servers across various clients and platforms. It facilitates the installation, configuration, and orchestration of MCP servers, enabling users to group servers into profiles and route requests through a unified interface. With its advanced router and profile features, mcpm.sh simplifies the management of complex MCP environments, supporting clients like Claude Desktop, Cursor, and Windsurf. The tool is built with Python and leverages the Click framework for its CLI, ensuring a robust and user-friendly experience.​

MEINC Installer turns a python application into a Windows EXE or a Unix executable. This is based on Gordon McMillian's Installer project that is no longer maintained.

MINI is a secure service discovery protocol for the M2MI ad-hoc networking library and written in Java (and soon, Python).

Goal of this project is to create a debugger for MIPS. Transition from python project to C after completion. Tailored for UIUC CS 232 course.

All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.

MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack

MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. So you can use all of your PyTorch knowledge here. MMF is created to be easily extensible and composable. Through our modular design, you can use specific components from MMF that you care about. Our configuration system allows MMF to easily adapt to your needs.