Open Source Python System Software for Windows - Page 4
Sort By:
Python System Software for Windows
View 1263 business solutionsBrowse free open source Python System Software for Windows and projects below. Use the toggles on the left to filter open source Python System Software for Windows by OS, license, language, programming language, and project status.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
1
Old File Delete
Clean up old files with a single click.
OldFileDelete (OFD) is a lightweight and efficient utility designed for those who value minimalism and order. The app helps you instantly clear selected folders of accumulated digital clutter. Featuring a modern flat design, the interface is intuitive: simply select a folder, specify the number of days, and the program will find and remove outdated files. No complex settings—just cleanliness and speed. -
2
Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
-
3
SegoFiles
A file organizer tool ,Organizes files to specific folders ,on a click
SegoFiles is a quick Solution to organize your files in any folder,It organizes particular file type or every file type(Depends upon the option have been chosen). The Files are automatically moved to a specific file type folders (Created Automatically) . >>Options are available to choose whether to segregate specific file type or everything in the folder. >>Efficient to organize GB's of Data >>Make Yourself Freed from Manual Organizing. >>Only for Windows users -32 Bit or 64 Bit >>File Size - 5.7 Mb -
4
Our goal is to create a library extension that has the ability to seamlessly intergrates with the C++ standard template library, but does not subtitute it. This will include standard and proprietary libraries.
-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
5
Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
Keras implementation of a CNN network for age and gender estimation. This is a Keras implementation of a CNN for estimating age and gender from a face image [1, 2]. In training, the IMDB-WIKI dataset is used. Because the face images in the UTKFace dataset is tightly cropped (there is no margin around the face region), faces should also be cropped in demo.py if weights trained by the UTKFace dataset is used. Please set the margin argument to 0 for tight cropping. You can evaluate a trained model on the APPA-REAL (validation) dataset. We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face. -
6
Airstrike
Imitate AirDrop on Windows
Airstrike is a lightweight FastAPI application that allows you to upload files to your machine via a web interface. I created this to imitate Apple's AirDrop in a simpler and open source way. -
7
Albedo
A recommender system for discovering GitHub repos
Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. Because it’s built around Spark’s scalable primitives, Albedo can experiment on substantial snapshots of GitHub metadata rather than toy corpora. The repo is also educational: it demonstrates a practical end-to-end pipeline from ingestion and feature preparation to training and ranking. -
8
Ansible Role: prometheus
Deploy Prometheus monitoring system
Ansible-Prometheus is an Ansible role for automating the deployment and configuration of Prometheus monitoring systems. -
9
Auto Download Sorter
A download sorter that auto sorts the files
A download sorter that auto-sorts the files written in python just install the program using the installer and restart your computer and you are good to go -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
-
10
Auto-Typer-Zer0
Only Auto Typer with Text and Code typing modes to ensure perfection.
AutoTyper Zer0 - V1.0 --------------------------------- Auto Typer with Typing and Coding modes, for coding homework, and other miscellaneous uses: - Text Typing Mode: Automate plain text input seamlessly. - Code Typing Mode: Supports Python, Java, and C/C++ with options to remove comments and fix indentation. - Super Speed Mode: Type up to 100 lines in under 10 seconds. Customizable Speed & Dark Theme UI: Adjust typing speed and enjoy an aesthetic interface. # Upcoming Features: Swift and C# app versions and a remote typing feature for Codetantra SEA. #Known issues include minor macOS quirks and collapsible text field behavior, with fixes planned in future updates. -
11
Auto_Img_Renamer
AutoimgRenamer is a Python tool to rename image files in a folder.
AutoimgRenamer is a lightweight Python tool that automatically renames all image files in a selected folder using a specified base name and an incremental index. It’s especially useful for organizing datasets, preparing files for machine learning, or batch-renaming personal image collections. Features 1. Rename .jpg, .jpeg, .png, .gif, .bmp, and .webp images 2. Simple, fast, and efficient 3. Customizable base name for files How It Works The tool scans the selected folder, finds all image files, and renames them to a format like: base_name_0001.PNG, base_name_0002.PNG, etc. -
12
Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported -
13
Beast Launcher
Private Online Game Launcher for Any kind of Game
Private online Game Launcher for any kind of private server, It's portable and ready to execute your main Executable, It's fully editable with online updater and Open-source -
14
BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse patterns to scale better. The repo implements both blocksparse and blockwise convolution/transpose-convolution primitives, with support for preparing, executing, and verifying those ops on NVIDIA GPUs. In addition to low-level kernels, it includes wrapper code for integrating with TensorFlow, example scripts (e.g. a transformer on the enwik8 dataset), transformer logic that uses blocksparse operations, and debugging helpers. -
15
-
16
CYBERSPLIT
CyberSplit is a secure offline file splitting utility
CyberSplit is a secure offline file splitting utility with a cyberpunk-themed interface. Split large files into manageable chunks and merge them back together without any data modification or internet connectivity. You can make a donation to help to improve and develop more DONATE BTC ADDRESS: bc1qhwfd6zm7t7uqrk77uc5t788h4h6sadw48mqfzn -
17
ClointFusion
Cloint India Pvt. Ltd's (ClointFusion) Pythonic RPA (Automation)
Cloint India Pvt. Ltd - Python functions for Robotic Process Automation shortly RPA. ClointFusion is an Indian firm based in Vadodara, Gujarat. ClointFusion is a Python-based RPA platform for developing Software BOTs. Using AI, we're working on Common Man's RPA. When you import ClointFusion for the first time, or upgrade to a new version, you'll be prompted with the "ClointFusion Automated Self-Test," which highlights all of ClointFusion's 100+ features in action on your computer while also confirming ClointFusion's compatibility with your PC's settings and configurations. Once you have successfully completed the self-test, you will receive an email with a self-test report. DOST is an interactive Blockly based no-code BOT Builder platform built and optimized for ClointFusion-based BOT building. We feel that automation is important for people other than programmers. Using DOST, even a common man can create a BOT in minutes. -
18
Crunch
Insane(ly slow but wicked good) PNG image optimization
Crunch is an image compression tool for lossy PNG image file optimization. Using a combination of selective bit depth, color palette reduction and color type, as well as zopfli DEFLATE compression algorithm encoding that employs the pngquant and zopflipng PNG optimization tools, Crunch is effectively able to optimize and compress images with minimal decrease in image quality. While it may produce file size gains larger than those produced by lossless approaches, the impact on image quality is often imperceptible, and optimized file sizes are still significantly lower than the original. -
19
Datadog Agent
Datadog Agent Version 5
Datadog Agent is an open-source agent for collecting metrics, logs, and traces from servers, applications, and services, sending data to Datadog for analysis. -
20
Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in the development version). The goal of libgpuarray is (from the documentation) make a common GPU ndarray (n dimensions array) that can be reused by all projects that is as future proof as possible, while keeping it easy to use for simple need/quick test. The easiest way to get (most) these is to use an all-in-one installer such as Anaconda from Continuum. These are available for multiple architectures. -
21
DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model gradually discover meaningful structure without labels. DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods. -
22
Download Folder Sorter (Script)
Sort Your Downloaded Files
Sort Documents, Videos, Music & Pictures In Your Home Directory Download Folder & Place Them In Their Corresponding Folders. This script runs in the background & shuts down after it completes. If you want an basic output, you will need to use the CMD / Terminal to run the script. A log file will be created once completed Any files that already exists are skipped & left in your Download Folder. Requirements: - Python 3.8 or newer How To Run The Program: - Windows Users: Just Run The DLF Sorter.py File (No Output Messages) Or Run In CMD Window By Navigating To Where The File Is Located & Type "python3 DLF\ Sorter.py " Without The Quotes. Mac / Linux Users: Open Terminal & Navigate To Where The File Is Located & Type "python3 DLF\ Sorter.py " Without Quotes If you need to rename the file you can just make sure the extension stays ".py" -
23
EPLB
Expert Parallelism Load Balancer
EPLB is DeepSeek’s open implementation of a load balancing algorithm designed for expert parallelism (EP) settings in MoE architectures. In EP, different “experts” are mapped to different GPUs or nodes, so load imbalance becomes a performance bottleneck if certain experts are invoked much more often. EPLB solves this by duplicating heavily used experts (redundancy) and then placing those duplicates across GPUs to even out computational load. It uses policies like hierarchical load balancing (grouped experts placed at node and then GPU level) and global load balancing depending on configuration. The logic is implemented in eplb.py and supports predicting placements given estimated expert usage weights. EPLB aims to reduce hot-spotting and ensure more uniform usage of compute resources in large MoE deployments. -
24
ES-DOS is a application for windows that looks like MS-DOS but is not a OS
-
25
Electronic Shelf Label Firebase Edition
An electronic shelf label is a type of price tag
An Electronic Shelf Label is a device that's typically attached to the front edge of retail shelving. ESL Firebase Edition V2.0 utilizes the AES-256 in CBC mode and Google Firebase. It doesn't require an expensive gateway to function, once configured, all it needs is a power supply and a Wi-Fi access point. ESL Firebase Edition V2.0 allows you to operate as many of them as you wish, provided that each has its own unique ID, and there's enough power and bandwidth for all of them. For more information please visit https://github.com/Northstrix/Electronic-Shelf-Label-Firebase-Edition You can find the tutorial on V2.0: https://www.instructables.com/DIY-IoT-Electronic-Shelf-Label-With-Google-Firebas-1/ V1.0: https://www.instructables.com/DIY-IoT-Electronic-Shelf-Label-With-Google-Firebas/ The desktop app is made with the help of the ChatGPT.
