Open Source Python Software for Linux
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Python Software for Linux
View 7918 business solutionsBrowse free open source Python Software for Linux and projects below. Use the toggles on the left to filter open source Python Software for Linux by OS, license, language, programming language, and project status.
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Notifii Track, a cloud-based software solution designed to streamline package managementNotifii Track is a cloud-based package tracking software for apartment offices, university mailrooms, and corporate mailrooms. Quickly and easily log packages as you receive them. Automatically alert the recipient via email and text message. Capture signature proof-of-pickup/delivery. Notifii Track saves you time (literally, just a few seconds to scan a package) and increases package accountability. Use Notifii Track through your web browser, or on any iOS/Android device. 30-day free trial available.
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deepin is a Debian-based distribution that aims to provide an elegant, user-friendly and reliable operating system. It does not only include the best the open source world has to offer, but it has also created its own desktop environment called DDE or Deepin Desktop Environment which is based on the Qt 5 toolkit. Deepin focuses much of its attention on intuitive design. Its home-grown applications, like Deepin Software Centre, DMusic and DPlayer are tailored to the average user. Being easy to install and use, deepin can be a good Windows alternative for office and home use.
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is a leading open-source visualization and observability platform that lets you query, visualize, alert on, and explore your data—regardless of where it’s stored. With support for 100+ data source plugins (such as Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, OTel, and more), you can unify metrics, logs, traces, and other observability signals in one place. Grafana OSS empowers you to build dynamic, reusable dashboards with rich visualizations, template variables, interactive filtering, and cross-panel linking. Its Explore mode enables ad-hoc queries and side-by-side comparisons of time ranges, queries, and data sources. Grafana also includes built-in alerting, allowing you to define threshold-based rules and send notifications to external systems (e.g. Slack, PagerDuty, OpsGenie). Backed by a strong community (https://grafana.com/community/) and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
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GXDE
Gorgeous eXtended Deepin Environment
GXDE is a desktop environment which is based on DDE15 (Deepin Desktop Environment version 15). You can run the classic desktop on newer Debian-based system than deepin 15.11 If you want to download the daily build image, you can visit https://sourceforge.net/projects/gxde-os/ Discord: https://discord.gg/t5Uf2xYpvA -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. Beyond per-frame analysis, AGI correlates GPU activity with CPU threads and system events to diagnose contention, scheduling issues, and thermal or power constraints. The tool is designed for reproducible performance investigations, making it easier to iterate, compare captures, and ship smoother, more efficient Android graphics experiences. -
anny is an all-in-one platform for managing hybrid workplaces and shared resources.Enable your employees to easily book desks, meeting rooms, parking spots, equipment, and more – all in one place. With flexible rules and group permissions, you stay in full control of who can access what.
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nwg-iso
Arch Linux ISO with nwg-shell for sway and Hyprland
The nwg-iso project provides an ISO image built with archiso, with additions to ensure a simple way to install Arch Linux, sway & Hyprland Wayland compositors and the nwg-shell toolbox. The live environment comes with Hyprland and sway session, so that you can test compositors and the shell before installation. It also contains the 'installer' command, which is a simplified version of the interactive installation with the archinstall script. Some must have stuff has already been pre-selected. User name and password: 'nwg'. To install, please find the "Installer" item in the top panel menu, or type `installer` in the terminal window. https://github.com/nwg-piotr/nwg-iso/blob/master/README.md -
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Neuroglancer
WebGL-based viewer for volumetric data
Neuroglancer is a WebGL-based visualization tool designed for exploring large-scale volumetric and neuroimaging datasets directly in the browser. It allows users to interactively view arbitrary 2D and 3D cross-sections of volumetric data alongside 3D meshes and skeleton models, enabling precise examination of neural structures and biological imaging results. Its multi-pane interface synchronizes multiple orthogonal views with a central 3D viewport, making it ideal for analyzing complex brain imaging data such as connectomics datasets. Neuroglancer operates entirely client-side, fetching data over HTTP in a variety of supported formats including Neuroglancer precomputed, N5, Zarr, and NIfTI, among others. The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. Extensively used in neuroscience research, Neuroglancer supports integration with tools. -
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BerserkArch
A bleeding-edge, security-centric Arch-based Linux distribution.
BerserkArch is a security-focused, performance-tuned Linux operating system (OS) based on Arch Linux, designed for developers, hackers, and technical users. A bleeding-edge, security-centric Arch-based Linux distribution crafted for hackers, developers, and nerds alike. Following the Arch Linux philosophy, it is designed to be highly customizable, allowing users to build their environment with only the components they need, rather than having a lot of pre-installed software like some other security distributions (e.g., Kali Linux). As an Arch-based distribution, it benefits from the rolling release model, providing users with the latest software versions and kernel updates. BerserkArch is a dist "designed to make you powerful" for specific use cases like reverse-engineering binaries and automating exploits, rather than being an easy-to-use distribution for general beginners. -
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Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also supports agent self-learning by distilling structured skills and experiences from previously completed tasks, which can later be reused or searched to improve future performance. It includes tools to interact with session data, background agents that monitor progress, and a dashboard that visualizes success rates, artifacts, and learned skills. By combining persistent storage, observability, and learning capabilities, Acontext aims to make AI agents more scalable, reliable, and capable. -
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Memobase
Fast backend for long-term AI user memory via structured profiles
Memobase is an open source backend system that enables long-term user memory functionality for AI applications by capturing and structuring information about users across interactions. Its design centers on creating user profiles and recording event timelines, allowing AI systems to remember, understand, and evolve in their behaviour toward individual users over time. Instead of relying purely on traditional embedding-based retrieval or RAG systems, Memobase uses profile and timeline structures to deliver memory that reflects user context efficiently and meaningfully. The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
Retreat Guru is a retreat marketing and management platformGet the all-in-one retreat management system that will make it easier for you to manage bookings, rooms, programs, rentals, payments, and more.
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Standard Webhooks
The Standard Webhooks specification
Standard Webhooks is a community-driven specification and set of open-source tools designed to make webhooks consistent, secure, and interoperable across providers. The project defines strict guidelines covering aspects like signature formats, headers, timestamps, replay protection, and forward compatibility. It includes reference implementations for signature verification and signing across multiple languages such as Python, JavaScript/TypeScript, Go, Rust, Ruby, PHP, C#, Java, and Elixir, along with additional community SDKs. The initiative is guided by a technical steering committee with members from companies like Zapier, Twilio, Mux, ngrok, Supabase, Svix, and Kong. Standard Webhooks matters because it eliminates the fragmentation of webhook implementations, reducing consumer effort and enabling seamless verification in apps or even directly in API gateways. By unifying best practices, it improves developer experience, enhances security, and enables new ecosystem tools. -
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SulinOS
Indipendent distro uses inary package system. Sulin is roolling donkey
Sulin is rolling donkey Gitlab: https://gitlab.com/sulinos Github: https://github.com/sulinos Telegram: https://t.me/sulinos powered by donkey team -
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DebianDDE
DebianDDE is a debian system installing dde desktop environment.
DebianDDE is a debian system installing dde desktop environment. Github: https://github.com/gfdgd-xi/debiandde Telegram: https://t.me/debiandde DebianDDE 项目旨在可以在 Debian 上使用 DDE 桌面环境，这个项目可以让你可以在比 deepin 基础库更高的 Debian 上使用 DDE 桌面环境 DebianDDE QQ 交流群：881201853 -
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Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is ideal for a variety of use cases, from simple code assistants to complex programming scenarios, matching the capabilities of models like GPT-4o. -
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Hawaii
Wayland/QtQuick based OS with incremental updates and bundles
Hawaii is a desktop operating system built on the GNU/Linux stack with a new lightweight and fast Wayland desktop environment written with QtQuick and deeply integrated with systemd. Hawaii delivers incremental and atomic updates which gives users to ability to rollback the whole system to a known good state if a regression happens. -
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Entropy Linux
Arch based, Modern, Midweight, Practical, Experimental, AMD, Szmelc
Based on Arch. Built for Power Users and Sysadmins. Built for those who demand control over their system. Optimized for AMD™, it features a global dark theme and a suite of powerful tools for advanced users. Developed by two lead devs and their squad, it’s raw, unpolished, and built for those who love to tinker, learn, and push boundaries. Why Entropy? Power & Flexibility: Designed for power users, sysadmins, and DevOps pros. Advanced Toolset: Custom utilities to boost productivity, AMD™ Optimized: Engineered for peak performance on AMD hardware. Part of a Vision: A key piece of an evolving ecosystem, connecting projects seamlessly. Entropy is a constantly evolving system—designed to be explored, tweaked, and refined. Some setup may be required, but that’s part of the fun. What to Expect? A robust, adaptable distro with powerful tools and limitless customization. Occasional bugs, experimental features, and hidden easter eggs because pushing limits isn’t always smooth! -
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MamoLinux
A customized Linux OS based on Ubuntu LTS release for All
In Sanskrit, *Mamo* means *My*. In a world full of OSes like Windows, Mac, or android, a laptop/computer cannot be called **my Laptop/computer/phone** unless I have full control over it both in software and hardware regime. Such freedom can only be enjoyed on Linux based OSes. Many Ubuntu/Debian-based OSes have been able create an user-friendly OS environment for intermediate computer users. However, they're still far more intimidating to my Li'l sister and Gramps compared to Windows. MamoLinux is a customized Linux-based(Ubuntu) Operating System and aims to achieve features like: 1. Free-ness (As in Freedom) of Linux, 2. User-friendliness of MS Windows, 3. Beauty and elegance of Mac or OS-X -
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PhoenixC2
Command & Control-Framework created for collaboration in python3
PhoenixC2 is a command & control framework. The purpose of this software is, to aid red teamers and penetration testers in their operations, by providing a way to manage hacked devices. -
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Crawlab
Distributed web crawler admin platform for spiders management
Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB. -
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DebianDDE, basado en las ultimas versiones de Debian Trixie y Deepin 23. Actualmente terminando los ultimos ajustes, pronto prodeis disfrutar de esta maravillosa version.
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Klavis AI
MCP integration platforms for AI agents to use tools at any scale
Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher accuracy and 83%+ success on complex workflows. Developers can integrate via Python/TypeScript SDKs or REST API, with support for OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI. Features include built-in authentication, multi-tenancy, hosted servers, Docker support, and enterprise security guardrails. Licensed under Apache 2.0, Klavis simplifies AI development by eliminating complex authentication management and enabling seamless workflow automation across multiple applications. -
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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
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NTK RTMP SERVER
Naam Tamilar Web TV Live Streamer
Naam Tamilar RTMP Server This project updated as open source for future use of Naam Tamilar Political Party. To contribute to the party and in some case if there is any possibilities if i cannot support them for long term. I thought of sharing this source code so in future it may be helpful for the community and party in which other software developers can help them to upgrade. This source is forked from - https://github.com/arut/nginx-rtmp-module and modified with multiple broadcast option. Stream Sources will be able to restreamed to RTMP Player, Youtube API, Facebook API, Twitch and any other plaftforms that supports streaming with API and stream key. All these can be published simultaneously at the same time. ForFirst UAT - User Acceptance Test has been conducted @ Pollachi Veerathamilatchi Sengodi Nenaivendal @ Sandaipettai Thidal, Pollachi on 19 August 2017 #3146 Viewed Simultaneously Streamed with 16 GB Ram, 500 GB SSD, Ubuntu 16.04 LTS Server with NTK RTMP Server -
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OSV.dev
Open source vulnerability DB and triage service
osv.dev (Open Source Vulnerabilities) is Google’s open source platform and API for aggregating, managing, and analyzing vulnerability data across multiple ecosystems. It powers the osv.dev website, providing a unified, queryable database of vulnerabilities that map directly to open source packages and versions. The system hosts vulnerability data for ecosystems such as PyPI, npm, Go, Maven, and Debian, among others. The platform includes a web UI, API, and a Go-based dependency scanner that checks software dependencies, container images, SBOMs (SPDX, CycloneDX), and Git repositories for known vulnerabilities. This repository contains the full infrastructure code for deploying osv.dev on Google Cloud Platform, including Terraform configurations, APIs, data pipelines, indexers, and background workers for vulnerability ingestion and impact analysis. It also integrates with automated feeds from sources like NVD and OSS-Fuzz, enabling continuous updates and high data accuracy. -
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commit-autosuggestions
A tool that AI automatically recommends commit messages
This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab. -
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turkdevops.github.io
Türk Geliştirici Operasyonları SourceForge
"TurkDevOps SourForce" Herkese selamlar, Geliştirici Ekipleri için açık kaynağa olan ilgimiz ve katkılarımız sayesinde bizlere yardımcı olarak kuruluşumuzu destekleyen "SourceForge" kuruluşuna teşekkür ederiz. Güncellemeler için lütfen abone olunuz, her zaman güvende kalın. Posta listeleri ve tartışma forumu dahilinde her türlü fikir ve yorum alışverişine açığız Topluluklarımızda misafirperver dayanışmamız saygı ve hoşgörü ile karşılanır, profesyonel bir ortamda davranış kurallarına uygun hareket edilmeli ve diğer topluluklara incelikle yaklaşarak etkileşim içinde olmalıdırlar. Tüm ekiplere başarılar
