Search Results for "python code editor"
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Showing 214 open source projects for "python code editor"
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FastAPI Python
FastAPI framework, high performance, easy to learn, fast to code
FastAPI framework, high performance, easy to learn, fast to code, ready for production. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints. -
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FastAPI
FastAPI framework, high performance, easy to learn, fast to code
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. Get production-ready code. With automatic interactive documentation. Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema. ... -
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Neiki's Code Editor
Lightweight embeddable code editor Web Component with syntax highlight
Neiki's Code Editor is a lightweight embeddable code editor built as a native Web Component using vanilla JavaScript. It runs without dependencies or build tools and can be dropped into any website via a single script tag. The editor provides a modern development experience with syntax highlighting, themes, line numbers, search, auto-indentation, and fullscreen support. -
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Bot Framework SDK for Python
Build and connect intelligent bots that interact naturally
This repository contains code for the Python version of the Microsoft Bot Framework SDK, which is part of the Microsoft Bot Framework - a comprehensive framework for building enterprise-grade conversational AI experiences. This SDK enables developers to model conversation and build sophisticated bot applications using Python. SDKs for JavaScript and .NET are also available. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Apache NetBeans
Apache NetBeans
Apache NetBeans is much more than a text editor. It highlights source code syntactically and semantically, lets you easily refactor code, with a range of handy and powerful tools. Apache NetBeans provides editors, wizards, and templates to help you create applications in Java, PHP and many other languages. Apache NetBeans can be installed on all operating systems that support Java, i.e, Windows, Linux, Mac OSX and BSD. -
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UIkit
Lightweight modular front-end framework for developing web interfaces
A lightweight and modular front-end framework for developing fast and powerful web interfaces. UIkit will work on pretty much any modern browser. Using UIkit works best if you have a solid code editor, for example Sublime Text or Atom. To be even more efficient, we recommend that you install one of the autocomplete plugins for your favorite IDE or code editor. This saves a lot of time, as you won't have to look up and type all UIkit classes and markup. To use UIkit's CSS and JavaScript, include the files in your own HTML and then create the markup of any of the components. ... -
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VvvebJs
Drag and drop website builder javascript library
...Components and blocks/snippets drag and drop. Undo/Redo operations. One or two panels interface. File manager and component hierarchy navigation. Add a new page. Live code editor. Image upload with example PHP script included. Page download or export HTML or save the page on the server with example PHP script included. Components/Blocks list search. Bootstrap 4 components. Youtube, Google maps, Charts.js, etc widgets. By default, the editor comes with Bootstrap 4 and Widgets components and can be extended with any kind of components and inputs. -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. -
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Electron
Build cross-platform desktop apps with JavaScript, HTML, and CSS
...It is compatible with Mac, Windows and Linux and comes with convenient features such as automatic updates, app crash reporting, debugging and profiling and more. It takes care of the hard parts so you can focus on the core of your app. Initially developed for the Atom editor, Electron is now the framework of choice for dozens of popular desktop apps including Microsoft's Visual Studio Code. -
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JUCE
JUCE is an open-source cross-platform C++ application framework
...JUCE can be easily integrated with existing projects via CMake, or can be used as a project generation tool via the Projucer, which supports exporting projects for Xcode (macOS and iOS), Visual Studio, Android Studio, Code::Blocks and Linux Makefiles as well as containing a source code editor. JUCE projects can be managed with either the Projucer (JUCE's own project-configuration tool) or with CMake. With support for PC, Mac and Linux, JUCE is the perfect tool for building powerful and complex applications. JUCE also supports the development of plug-ins: VST, AU and AAX. ... -
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NiceGUI
Create web-based user interfaces with Python
NiceGUI is a Python-based UI framework that enables developers to create interactive web applications using only Python code. It abstracts away the complexities of HTML, CSS, and JavaScript, allowing for rapid development of web interfaces directly from Python scripts. NiceGUI is suitable for building dashboards, control panels, and other web-based tools, especially in contexts like robotics and data visualization. -
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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems together. ... -
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Frappe
Low code web framework for real world applications
Frappe is a full-stack, low-code web framework written in Python and JavaScript, used to build scalable and modular enterprise applications. It powers ERPNext and includes tools for REST APIs, user management, document modeling, workflows, and real-time updates. Frappe uses a "model-view-controller" approach with its own ORM and frontend system, enabling rapid development without sacrificing control or performance. -
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Slither
Static Analyzer for Solidity
Slither is a Solidity static analysis framework written in Python 3. It runs a suite of vulnerability detectors, prints visual information about contract details, and provides an API to easily write custom analyses. Slither enables developers to find vulnerabilities, enhance their code comprehension, and quickly prototype custom analyses. Slither is the first open-source static analysis framework for Solidity. -
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Clerk
Moldable Live Programming for Clojure
Clerk is a notebook library for Clojure that enables interactive, reproducible, and version-control-friendly live programming. Notebook content is written in standard Clojure namespaces or Markdown with embedded Clojure code blocks and evaluates top-to-bottom for predictable behavior. Clerk notebooks are either regular Clojure namespaces (interspersed with markdown comments) or regular markdown files (interspersed with Clojure code fences). This also means Clerk notebooks are meant to be... -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. ... -
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Hydra Framework
Framework for elegantly configuring complex applications
...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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Connexion
Swagger/OpenAPI First framework for Python on top of Flask
...With Connexion, you write the spec first. Connexion then calls your Python code, handling the mapping from the specification to the code. This incentivizes you to write the specification so that all of your developers can understand what your API does, even before you write a single line of code. -
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PyObjC
The Python <-> Objective-C Bridge with bindings for macOS frameworks
PyObjC is a Python-Objective-C bridge that allows Python scripts to interact with macOS Cocoa libraries. It enables developers to write native macOS apps entirely in Python by accessing Objective-C APIs. -
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SQL Explorer
Easily share data across your company via SQL queries
SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple... -
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wxPython Project Phoenix
wxPython's Project Phoenix. A new implementation of wxPython
...This new implementation is focused on improving speed, maintainability and extensibility. Just like "Classic" wxPython, Phoenix wraps the wxWidgets C++ toolkit and provides access to the user interface portions of the wxWidgets API, enabling Python applications to have a native GUI on Windows, Macs or Unix systems, with a native look and feel and requiring very little (if any) platform-specific code. -
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ToolJet
Extensible low-code framework for building business applications
...Drag and drop 35+ in-built UI components to build even complicated frontends. Adding new components, resizing them, adjusting position, changing colors etc can be done using the visual app editor. Customize the component with in-built properties and styles without using a single line of code. Viewer for verifying current properties of components, queries and global states of applications. Every app can have multiple pages that can be linked with each other. -
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Optuna
A hyperparameter optimization framework
...Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code. -
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
Infracost's VSCode extension shows you cost estimates for Terraform right in your editor! Prevent costly infrastructure changes before they get into production. Compare configs, instance types, regions etc: copy/paste a code block, make changes and compare them. Quick cost estimate: write a code block and get a cost estimate without having to use AWS, Azure or Google cost calculators, or read the long/complicated pricing web pages. -
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Checkov
Prevent cloud misconfigurations during build-time for Terraform
...Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations.
