Search Results for "integrate" - Page 2
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Showing 63 open source projects for "integrate"
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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.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Django friendly finite state machine
Django friendly finite state machine support
...Instead of adding a state field to a Django model and managing its values by hand, you use FSMField and mark model methods with the transition decorator. These methods could contain side effects of the state change. You may also take a look at the Django-fsm-admin project containing a mixin and template tags to integrate Django-fsm state transitions into the Django admin. FSM really helps to structure the code, especially when a new developer comes to the project. FSM is most effective when you use it for some sequential steps. Transition logging support could be achieved with help of django-fsm-log package. -
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. -
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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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todo_notifier
Todo Notifier simplifies the management of todo items in your project
Simplify Todo management with Todo Notifier - a versatile Python library that generates automated summaries and sends reminders via email, SNS, SES & more. Integrate easily with other project management tools. The package is available on PyPi: https://pypi.org/project/todonotifier/ For more information, please check out the GitHub repository: https://github.com/ashu-tosh-kumar/todo_notifier Detailed code documentation on GitHub Pages: https://ashu-tosh-kumar.github.io/todo_notifier/todonotifier.html Medium Article on how to use: https://at-k.medium.com/streamline-your-todos-with-todo-notifier-for-python-projects-6f95c03a2d34 -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Hydra Framework
Framework for elegantly configuring complex applications
...You can override everything from the command line, which makes experimentation fast, and removes the need to maintain multiple similar configuration files. Hydra has a pluggable architecture, enabling it to integrate with your infrastructure. Future plugins will enable launching your code on AWS or other cloud providers directly from the command-line. Hydra is an open-source Python framework that simplifies the development of research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. -
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Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently... -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals, students, research groups and businesses. ... -
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pyTorch Tutorials
Build your neural network easy and fast
...Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. These notebooks provide code and descriptions for creating and running workflows in AWS Step Functions Using the AWS Step Functions Data Science SDK. In Amazon SageMaker, example Jupyter notebooks are available in the example notebooks portion of a notebook instance. ... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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django-summernote
Simply integrate Summernote editor with Django project
Summernote is a simple WYSIWYG editor. Django-summernote allows you to embed Summernote into Django very handy. Support admin mixins and widgets. Although Post model has several TextField, only the content field will have SummernoteWidget. Apply summernote to all TextField in the model. Please mind, that the widget does not provide any escaping. If you expose the widget to external users without taking care of this, it could potentially lead to an injection vulnerability. Therefore you can... -
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TRFL
TensorFlow Reinforcement Learning
...Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. It exposes clean, modular APIs for various RL methods including Q-learning, policy gradient, and actor-critic algorithms, among others. ... -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. Users can quickly adapt the examples for their own remote sensing, environmental monitoring, or spatial data science projects, and can run the code in environments like Google Colab. -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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API Correios
API correios.com.br in Python
...With this tool, developers building Brazilian market e-commerce or logistics solutions can integrate postal services smoothly. Because it is open source, improvements can be contributed to support new endpoints, changes in the postal service API, or additional features like caching or async requests. -
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layman is the Gentoo overlay manager and allows to integrate experimental software packages into the main distribution. It can also be used as a manager for version control repositories.
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setuplib
Extensions for setuptools - detailed information on entry points
...It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group *setuplib* of extension components for the common *setup.py* installer. The targeted users are mainly developers, advanced users, and system administrators. -
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gitsome
A supercharged Git/GitHub command line interface (CLI)
Although the standard Git command line is a great tool to manage your Git-powered repos, it can be tough to remember the usage of 150+ porcelain and plumbing commands, countless command-specific options, and resources such as tags and branches. The Git command line does not integrate with GitHub, forcing you to toggle between command line and browser. gitsome aims to supercharge your standard git/shell interface by focusing on improving ease-of-use and increasing productivity. Not all GitHub workflows work well in a terminal; gitsome attempts to target those that do. gitsome includes 29 GitHub integrated commands that work with ALL shells. ... -
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PYWAL
Generate and change color-schemes on the fly
...The magic is that it’s not just a one-off script: it supports many terminals, shells, and launchers, and can export the colors in multiple formats (JSON, Xresources, CSS) for other programs to consume. It also includes a set of predefined themes if you don’t want to generate from an image. Many users integrate PYWAL into their login or wallpaper-change workflows so the desktop “breathes” with whatever image they set. It’s lightweight, fast, and fits perfectly into the r/unixporn workflow of building cohesive, themed desktops. -
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pyhanlp
Chinese participle
...It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch. -
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Flasky
Companion code to my O'Reilly book "Flask Web Development"
...It serves as both a tutorial and sample codebase that walks developers through building a full-featured web application, including user registration and login, role-based permissions, user profiles, and content creation. The project shows how to organize a Flask application into reusable blueprints, configure environment-specific settings, integrate SQL databases via SQLAlchemy, and manage migrations. Beyond the core web functionality, Flasky illustrates testing strategies using Python’s unittest framework, including tests for models, views, and authentication flows to promote test-driven development. -
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coala
Coala provides a command-line interface for linting and fixing code
Coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use. You can use Coala from within your favorite editor, integrate it with your CI, get the results as JSON, or customize it to your needs with its flexible configuration syntax. -
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Ubuntu Lite SDK
App creator for Ubuntu
...Ubuntu lite SDK strives to make programming easy and fun by bringing opinionated choices about how to write different kinds of programs to developers. Included is a Ubuntu application template for making applications that integrate smoothly into the Ubuntu software infrastructure. -
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MSCViewer
A tool for visualization and analysis of logs as sequence diagrams
...MSCViewer features integration with a Python interpreter which allows writing Python scripts interacting with the model. This powerful feature can be used to automate validatation of distributed control flows, integrate with graphing infrastructure, etc. -
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Boto3
AWS SDK for Python
Get started quickly using AWS with boto3, the AWS SDK for Python. Boto3 makes it easy to integrate your Python application, library, or script with AWS services including Amazon S3, Amazon EC2, Amazon DynamoDB, and more. Boto3 has two distinct levels of APIs. Client (or "low-level") APIs provide one-to-one mappings to the underlying HTTP API operations. Resource APIs hide explicit network calls but instead provide resource objects and collections to access attributes and perform actions. ... -
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z-utalm
Unified Test and Logging layer for multiple programming languages
...The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development, test, and production support of software environments based on multiple programming languages for distributed multicore environments.
