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Showing 15 open source projects for "python mini project"
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Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Faker for Python
Python package that generates fake data for you
...If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your codebase to support Python 3 so you can enjoy the latest features Faker has to offer. Please see the extended docs for more details, especially if you are upgrading from version 2.0.4 and below as there might be breaking changes. This package was also previously called fake-factory which was already deprecated by the end of 2016, and much has changed since then, so please ensure that your project and its dependencies do not depend on the old package. -
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Rye
A Hassle-Free Python Experience
Rye is a modern Python project and package management tool designed to provide a seamless development experience. It integrates Python installation, virtual environment management, and dependency handling into a single cohesive workflow. Rye's emphasis on simplicity and automation makes it particularly suitable for managing complex projects and monorepos, reducing the overhead typically associated with Python project setup and maintenance. -
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PDM
A modern Python package and dependency manager
PDM (Python Development Master) is a modern Python package and dependency manager that adheres to the latest PEP standards. It emphasizes a declarative approach to project configuration using pyproject.toml, facilitating reproducible builds and streamlined workflows. PDM's focus on simplicity and compliance with Python's evolving ecosystem makes it a valuable tool for developers seeking modern project management solutions. -
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Poetry
Python packaging and dependency management made easy
Poetry is a comprehensive Python dependency management and packaging tool that streamlines project setup and maintenance. By consolidating various configuration files into a single pyproject.toml, it simplifies the management of dependencies, virtual environments, and package publishing. Poetry ensures consistency across development environments and facilitates the creation of reproducible builds, making it an essential tool for Python developers seeking efficiency and reliability. -
Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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Spack
A flexible package manager that supports multiple versions
A flexible package manager supporting multiple versions, configurations, platforms, and compilers. Spack is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures. Spack offers a simple "spec" syntax that allows users to specify versions and... -
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WingetUI
A better UI for your package managers
WingetUI is an intuitive, responsive and nice-looking user interface for the most common (command-line) package managers for Windows 10 and Windows 11. With this program, you'll be able to easily download, install, update and uninstall any software that's published on those package managers. The available packages range from well-known software such as browsers, pdf readers and other common programs to other less-known utilities such as vim for windows, which I bet you didn't know it... -
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FuseSoC
Package manager and build abstraction tool for FPGA/ASIC development
FuseSoC is a package manager and build abstraction tool for hardware description language (HDL) code, aimed at simplifying the development and reuse of IP cores. It provides a standardized way to describe, manage, and build hardware projects, facilitating collaboration and reducing duplication of effort in FPGA and ASIC development. -
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Pipenv
Python Development Workflow for Humans
Pipenv is a package manager that brings all the best of the packaging world together to the Python world. It's got everything you could need: bundler, composer, npm, cargo, yarn and more all in one convenient package so you can easily set up a working environment. Pipenv creates and manages a virtualenv automatically, and can add or remove packages from your Pipfile as you install/uninstall packages. It also produces the Pipfile.lock, which is essential for deterministic... -
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Whalebrew
Homebrew, but with Docker images
...It's like Homebrew, but with Docker images. Docker works well for packaging up development environments, but there are lots of tools that aren't tied to a particular project: awscli for managing your AWS account, ffmpeg for converting video, wget for downloading files, and so on. Whalebrew makes those things work with Docker, too. Whalebrew can run almost any CLI tool, but it isn't for everything (e.g. where commands must start instantly). It works particularly well for a Python app that requires C libraries, specific package versions, and other CLI tools that you don't want to clutter up your machine with. ... -
The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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LAPP package in Complete Virtual Machine
Quick Apache/PHP/Postgresql Pkg for development, testing & production
This VM is created for 2 reasons: 1. Very little initial setup work required to Develop / Test / Deploy a Dynamic Web Application live. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other PHP project called teamdocs. Just replace td with lapp wherever mentioned ) Upload your PHP Files using the free FileZilla ftp client software, to this server called lapp.local... -
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LAMP package in Complete Virtual Machine
A Quick LAMP/WAMP/MAMP/XAMPP Pkg for development, testing & production
This VM is created for 2 reasons: 1. Very little initial setup work required to Develop / Test / Deploy a Dynamic Web Application live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other sample PHP project called teamdocs. You may cleanup this Application from the htdocs home folder link & its corresponding database, after logging into mysql. The... -
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Willow Willow is a Python build system that can be used to create, compile, delete, and add dependencies to projects. It is a command-line tool that can be used to automate various tasks related to building and managing software projects. Willow also provides an API that can be used to perform the same tasks programmatically. The willowapi module provides the following functions: create(name, location): creates a new project with the specified name at the specified location. compile(directory): compiles the project located at the specified directory. delete(directory): deletes the project located at the specified directory. add_dependency(project_dir, dep_dir, depname): adds the specified dependency to the project located at project_dir. getversion(): returns the current version of Willow. ...
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pipupgrade
Like yarn outdated/upgrade, but for pip
pipupgrade is a command-line utility designed to streamline the management of Python package dependencies. It automates the process of identifying and upgrading outdated packages across various Python environments, including system-wide installations, virtual environments, and project-specific setups. By analyzing semantic versioning, pipupgrade categorizes updates into major, minor, and patch changes, allowing developers to make informed decisions about which packages to upgrade. ... -
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Poet
Poet helps you declare, manage and install dependencies of Python
poet is a tool for managing dependencies, building, and packaging Python projects using a single configuration file, poetry.toml. It simplifies Python project management by consolidating various configuration files into one, making it easier to declare dependencies and package information. Note that poet has been deprecated in favor of Poetry, which offers more comprehensive features and support. -
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Django-bower
Easy way to use bower with your django project
django-bower is a Django app that lets you manage your front-end dependencies using Bower right from your Django project. Instead of manually dropping JavaScript and CSS libraries into your static folders, you declare them as Bower packages and let the app install them to a known location. It then provides Django settings and template tags to point STATICFILES_DIRS or STATIC_ROOT to those installed components. This keeps the back-end and front-end dependency story unified, versioned, and...
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