Open Source Python Software Development Software for Linux
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Python Software Development Software for Linux
View 1261 business solutionsBrowse free open source Python Software Development Software for Linux and projects below. Use the toggles on the left to filter open source Python Software Development Software for Linux by OS, license, language, programming language, and project status.
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PDF Arranger
Small python-gtk application, to merge or split PDFs
PDF Arranger is a small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface. It is a front end for pikepdf. PDF Arranger is a fork of Konstantinos Poulios’s PDF Shuffler (see Savannah or Sourceforge). It’s a humble attempt to make the project a bit more active. -
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A comprehensive software suite for reading barcodes. Supports EAN/UPC, Code 128, Code 39, Interleaved 2 of 5 and QR Code. Includes libraries and applications for decoding captured barcode images and using a video device (eg, webcam) as a barcode scanner.
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Flet
Flet enables developers to easily build realtime web and mobile apps
Flet enables developers to easily build real-time web, mobile and desktop apps in Python. No front-end experience is required. An internal tool or a dashboard for your team, weekend project, data entry form, kiosk app or high-fidelity prototype - Flet is an ideal framework to quickly hack great-looking interactive apps to serve a group of users. No more complex architecture with JavaScript frontend, REST API backend, database, cache, etc. With Flet you just write a monolith stateful app in Python only and get a multi-user, real-time Single-Page Application (SPA). To start developing with Flet, you just need your favorite IDE or text editor. With no SDKs, no thousands of dependencies, no complex tooling, Flet has a built-in web server with assets hosting and desktop clients. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy). Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its many contributors, have put an immeasurable amount of time and effort into producing a piece of software utilized by thousands of scientists worldwide. Matplotlib is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. Matplotlib has support for visualizing information with a wide array of colors and colormaps. -
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Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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Saleor Commerce
A modular, high performance, headless e-commerce platform
An open-source, GraphQL-first e-commerce platform delivering ultra-fast, dynamic and personalized shopping experiences. A headless, GraphQL commerce platform delivering ultra-fast, dynamic, personalized shopping experiences. Beautiful online stores, anywhere, on any device. Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular front end powered by a GraphQL API and written with React and TypeScript. A comprehensive system for orders, dispatch, and refunds. Advanced payment and tax options, with full control over discounts and promotions. Packed with features that get stores to a wider audience. -
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Apache Airflow
Programmatically author, schedule, and monitor workflows
Apache Airflow is a community-created platform for programmatically authoring, scheduling, and monitoring workflows. It’s much easier to do all these things when workloads are defined as code. They become more versionable, testable, maintainable and collaborative. With Airflow you can author workflows as directed acyclic graphs (DAGs) of tasks. This means that your tasks are executed on an array of workers while following the specified dependencies. And with rich command line utilities in place, performing complex surgeries on DAGs is simple and straightforward. Apache Airflow has a rich and useful UI that easily visualizes pipelines running in production, monitors progress, and troubleshoots issues when necessary. -
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H2O Wave
Realtime Web Apps and Dashboards for Python and R
No HTML, CSS, Javascript skills are required. Build rich, interactive web apps using pure Python. Broadcast live information, visualizations, and graphics using Wave's low-latency real-time server. Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps. Easily share your apps with end-users, get feedback, improve and iterate. ~10MB static executables for Linux, Windows, OSX, BSD, Solaris on AMD64, 386, ARM, PPC. Run it on a RPi Zero for great good! -
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Papermerge
Open Source Document Management System for Digital Archives
Papermerge is an open source document management system (DMS) primarily designed for archiving and retrieving your digital documents. Instead of having piles of paper documents all over your desk, office or drawers - you can quickly scan them and configure your scanner to directly upload to Papermerge DMS. Store, organize and index scanned documents in PDF, JPEG and TIFF formats. Instantly find relevant information using full text, tags and metadata-based search. Papermerge is free and open-source software which means that transparency is the core value of our software development. Source code can be reviewed and improved by anyone from anywhere. Papermerge supports multiple users. Each user can be assigned different permissions to perform only a specific kind of action e.g. view only documents from a specific folder. OCR technology is vital part of Papermerge. It extracts text information from scanned documents, PDF, JPEG, TIFF files. -
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Saleor
Customer-centric e-commerce on a modern stack
Saleor is one of the fastest growing open source e-commerce platforms, built to deliver ultra-fast, dynamic and personalized shopping experiences. Built with Python, Django, GraphQL, and ReactJS, Saleor is modular and highly performant. With a GraphQL API and headless commerce, you can build beautiful, customized online stores anywhere on any device using the latest technology. Saleor gives you great flexibility, with options for building your front-end how you want, and seamless integrations with accounting and inventory systems. It’s also global-ready, able to automatically localize pricing, language and even checkout experience by country. See a Saleor storefront in action at https://pwa.saleor.io/ or get a glimpse of the admin dashboard here: https://pwa.saleor.io/dashboard/. Use login credentials: admin@example.com/admin -
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Gammu
Cellular manager for mobile phones/modems
Gammu is a cellular manager for mobile phones/modems. It contains libraries and functions for ringtones,logos,phonebook,SMS,etc. (used by external software), a command line version (with backup/restore) and SMS gateway (with MySQL and PostgreSQL supp -
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Dagster
An orchestration platform for the development, production
Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally. Dagster as a unified control plane: The ‘single plane of glass’ data teams love to use. Rein in the chaos and maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities. -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. With OptScale, users get complete cloud resource usage transparency, anomaly detection, and extensive functionality to avoid budget overruns. -
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
Unlock unlimited possibilities with synthetic data. Share, create, and augment data with cutting-edge generative AI. Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports. Need to synthesize one or multiple data types? We have you covered. Even take advantage or multimodal data generation. Synthesize and transform multiple tables or entire relational databases. Mitigate GDPR and CCPA risks, and promote safe data access. Accelerate CI/CD workflows, performance testing, and staging. Augment AI training data, including minority classes and unique edge cases. Amaze prospects with personalized product experiences. -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. Write a training script (eg. train.py). Define a container with a Dockerfile that includes the training script and any dependencies. -
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QuickFIX is the worlds first Open Source C++ FIX (Financial Information eXchange) engine, helping financial institutions easily integrate with each other. The SVN repository is now locked. Latest code is hosted at github. https://github.com/quickfix/quickfix
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Mezzanine
CMS framework for Django
Mezzanine is a powerful open source content management platform built using the Django framework. In many ways it is like many other content management tools, offering an intuitive interface for managing all of your content. But Mezzanine is different in that it provides most of its functionality by default. While other platforms rely heavily on modules or reusable applications, Mezzanine comes ready with all the functionality you need, making it the more efficient choice. Mezzanine has a simple yet highly extensible architecture that lets you really get into the code. Apart from the features that come with Django such as MVC architecture, ORM, templating and caching, Mezzanine comes with a great many other features. This includes hierarchical page navigation, a simple drag-and-drop HTML5 forms builder with CSV export, scheduled publishing, easy page ordering, social media sharing, and so much more. -
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Positron
Positron, a next-generation data science IDE
Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding experience along with specialized panes and tooling for variable inspection, data-frame viewing, plotting previews, and interactive consoles designed for analytical work. The IDE supports notebook and script workflows, integration of data-app frameworks (such as Shiny, Streamlit, Dash), database and cloud connections, and built-in AI-assisted capabilities to help write code, explore data, and build models. -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Tandoor Recipes
Application for managing recipes, planning meals, building shopping
Application for managing recipes, planning meals, building shopping lists and much much more! This application is meant for people with a collection of recipes they want to share with family and friends or simply store them in a nicely organized way. A basic permission system exists but this application is not meant to be run as a public page. Tandoor is developed by volunteers in their free time just because its fun. That said earning some money with the project allows us to spend more time on it and thus make improvements we otherwise couldn't. Powerful & customizable search with fulltext support and TrigramSimilarity. Create and search for tags, assign them in batch to all files matching certain filters. Import recipes from thousands of websites supporting ld+json or microdata. Easy setup with Docker and included examples for Kubernetes, Unraid and Synology. -
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Indico
A feature-rich event management system
The effortless open-source tool for event organization, archival, and collaboration. Event-organization workflow that fits lectures, meetings, workshops, and conferences. A feature-rich event management system, made @ CERN, the place where the Web was born. A powerful and flexible hierarchical content management system for events, a full-blown conference organization workflow with call for Abstracts and abstract reviewing modules; flexible registration form creation and configuration; integration with existing payment systems; a paper reviewing workflow; a drag and drop timetable management interface; a simple badge editor with the possibility to print badges and tickets for participants; tools for meeting management and archival of presentation materials; a powerful room booking interface; integration with existing video conferencing solutions. -
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Luigi
Python module that helps you build complex pipelines of batch jobs
Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic. -
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Wally
Distributed Stream Processing
Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API. -
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Roundup Issue Tracker
Simple-to-use/-install issue-tracking system: web, REST, email, CLI
Roundup is a simple-to-use and -install issue-tracking system with command-line, web, REST, XML-RPC, and e-mail interfaces. It runs on python 2.7 or 3.6 or newer. Roundup has been deployed for: * bug tracking and TODO list management (the classic installation) * customer help desk support (with a wizard for the phone answerers, linking to networking, system and development issue trackers) * issue management for IETF working groups * sales lead tracking ...and so on. It's been designed with flexibility in mind - it's not just another bug tracker. Roundup ships with a *demo tracker* to play with - after you've unpacked the source, just run "python demo.py" and load up the URL it prints out! Get current development source from mercurial repo at: <https://sourceforge.net/p/roundup/code/ci/default/tarball?path=>
