Alternatives to NiceGUI
Compare NiceGUI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NiceGUI in 2025. Compare features, ratings, user reviews, pricing, and more from NiceGUI competitors and alternatives in order to make an informed decision for your business.
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1
Amazon CodeWhisperer
Amazon
Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models. -
2
Reflex
Pynecone
Reflex is an open source framework that empowers Python developers to build full-stack web applications entirely in pure Python, eliminating the need for JavaScript or complex frontend frameworks. With Reflex, you can write, test, and refine your app using just Python, making it fast, flexible, and scalable. It features an AI Builder that allows you to describe your app idea, and it will generate a working Python app instantly, complete with backend, frontend, and database integration. Reflex's architecture compiles the frontend down to a single-page Next.js app, while the backend is powered by FastAPI, with communication handled via WebSockets. This setup ensures that all the app logic and state management stay in Python and run on the server. The framework offers over 60 built-in components based on Radix UI and supports custom React components, enabling developers to create complex UIs without writing HTML or CSS.Starting Price: $20 per month -
3
Rio
Rio
Rio is an open source Python framework that enables developers to build modern web and desktop applications entirely in Python. Inspired by frameworks like React and Flutter, Rio introduces a declarative UI model where components are defined as Python data classes with a build() method, allowing for reactive state management and seamless UI updates. It includes over 50 built-in components adhering to Google's Material Design, facilitating the creation of professional-grade interfaces. Rio's layout system is Pythonic and intuitive, calculating each component's natural size before distributing available space, eliminating the need for traditional CSS. Developers can run applications locally or in the browser with the backend powered by FastAPI and communication handled via WebSockets.Starting Price: Free -
4
FastAPI
FastAPI
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available. Minimize code duplication, multiple features from each parameter declaration. -
5
Solara
Widgetti BV
Many Python frameworks can handle basic dashboards but falter with complex ones, often leading teams to split into frontend and backend roles, causing various challenges. Solara is a new web framework that integrates ReactJS principles with Python simplicity. It offers a flexible API for various UI complexities and efficient state management. Solara supports a range of applications, from prototypes to intricate dashboards, and is compatible with platforms like Jupyter, Voilà, and various web servers. It emphasizes code quality, developer accessibility, and robust testing. -
6
Tornado Web Server
Tornado
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Tornado is different from most Python web frameworks. It is not based on WSGI, and it is typically run with only one thread per process. While some support of WSGI is available in the tornado.wsgi module, it is not a focus of development and most applications should be written to use Tornado’s own interfaces (such as tornado.web) directly instead of using WSGI. In general, Tornado code is not thread-safe. Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed freely with Tornado. -
7
Streamlit
Streamlit
Streamlit. The fastest way to build and share data apps. Turn data scripts into sharable web apps in minutes. All in Python. All for free. No front-end experience required. Streamlit combines three simple ideas. Embrace Python scripting. Build an app in a few lines of code with our magically simple API. Then see it automatically update as you save the source file. Weave in interaction. Adding a widget is the same as declaring a variable. No need to write a backend, define routes, handle HTTP requests, etc. Deploy instantly. Use Streamlit’s sharing platform to effortlessly share, manage, and collaborate on your apps. A minimal framework for powerful apps. Face-GAN explorer. App that uses Shaobo Guan’s TL-GAN project from Insight Data Science, TensorFlow, and NVIDIA's PG-GAN to generate faces that match selected attributes. Real time object detection. An image browser for the Udacity self-driving-car dataset with real-time object detection. -
8
Nitric
Nitric
Nitric is an open source, cloud-agnostic backend framework that enables developers to declare infrastructure as code and automate deployments using pluggable plugins. It supports multiple languages, including JavaScript, TypeScript, Python, Go, and Dart. Key features include defining APIs (REST, HTTP), serverless functions, routing, authentication/authorization (OIDC-compatible), storage (object/file storage, signed URLs, bucket events), databases (e.g., managed Postgres with migrations), messaging (queues, topics, pub/sub), websockets, scheduled tasks, and secrets management. Nitric integrates with tools like Terraform or Pulumi, or lets you write your own plugins, and works with major cloud providers (AWS, Azure, Google Cloud). It also supports local development with simulated cloud environments so you can prototype, test, and iterate without incurring cloud cost. The framework emphasizes declarative security, resource access management, and portability.Starting Price: Free -
9
websockets
Python Software Foundation
An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!Starting Price: Free -
10
Falcon
Falcon
Falcon is a blazing fast, minimalist Python web API framework for building robust app backends and microservices. The framework works great with both asyncio (ASGI) and gevent/meinheld (WSGI). The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions. Falcon complements more general Python web frameworks by providing extra reliability, flexibility, and performance wherever you need it. A number of Falcon add-ons, templates, and complementary packages are available for use in your projects. We've listed several of these on the Falcon wiki as a starting point, but you may also wish to search PyPI for additional resources. -
11
Atri Framework
Atri Labs
Atri framework is a full-stack web development framework to build Progressive Web Apps. Use our visual editor to increase your productivity. You can also add your custom React code. Currently, we support Python for backend development. We are planning to add support for NodeJS soon. Our CLI provides rich support for easy deployment at your platform of choice such as GitHub Pages, AWS, etc. Atri framework comes with a suite of productivity tools such as a visual editor, asset management tools, etc. that significantly reduce development time from months to hours. Atri framework is extending the definition of full-stack to include non-web developers in the development and maintenance of an app.Starting Price: $100 per user per month -
12
JDoodle.ai
JDoodle.ai
JDoodle.ai is an AI-powered full-stack app-builder that enables users to validate ideas, build working prototypes, and deploy complete applications without needing traditional developer resources. It supports a built-in database, free bug-fixing (with no credits required), pay-as-you-go credits, and automatic hosting for each project. Users simply describe the application they want, such as “React frontend + Python backend with database and user authentication”, and the platform generates front- and back-end code, sets up the project infrastructure, and handles testing automatically. The system uses a multi-model agent to analyze requirements, write code, run tests, and deploy apps in minutes. Projects come with a React frontend and Python backend by default, and users can connect custom APIs, integrations, or data sources as needed.Starting Price: $10 per month -
13
Bottle
Bottle
Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library. Requests to function-call mapping with support for clean and dynamic URLs. Fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates. Convenient access to form data, file uploads, cookies, headers and other HTTP-related metadata. Built-in HTTP development server and support for paste, bjoern, gae, cherrypy or any other WSGI capable HTTP server. -
14
hug
hug
Drastically simplify API development over multiple interfaces. With hug, design and develop your API once, then expose it however your clients need to consume it. Be it locally, over HTTP, or through the command line - hug is the fastest and most modern way to create APIs on Python3. hug has been built from the ground up with performance in mind. It is built to consume resources only when necessary and is then compiled with Cython to achieve amazing performance. As a result, hug consistently benchmarks as one of the fastest Python frameworks and without question takes the crown as the fastest high-level framework for Python 3. hug makes it easy to expose multiple versions of your API. With hug you can simply specify what version or range of versions an endpoint supports and then automatically have that enforced and communicated to your API's users. -
15
IDLE
Python
IDLE is Python’s Integrated Development and Learning Environment. IDLE has the following features: - coded in 100% pure Python, using the tkinter GUI toolkit - cross-platform: works mostly the same on Windows, Unix, and macOS - Python shell window (interactive interpreter) with colorizing of code input, output, and error messages - multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features - search within any window, replace within editor windows, and search through multiple files (grep) - debugger with persistent breakpoints, stepping, and viewing of global and local namespaces - configuration, browsers, and other dialogsStarting Price: Free -
16
Jinja
Jinja
Jinja is a fast, expressive, extensible templating engine. Special placeholders in the template allow writing code similar to Python syntax. Then the template is passed data to render the final document.Starting Price: Free -
17
MLJAR Studio
MLJAR
It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.Starting Price: $20 per month -
18
Flask
Flask
Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks. Flask offers suggestions, but doesn't enforce any dependencies or project layout. It is up to the developer to choose the tools and libraries they want to use. There are many extensions provided by the community that make adding new functionality easy.Starting Price: Free -
19
asyncio
asyncio
asyncio is used as a foundation for multiple Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. asyncio is often a perfect fit for IO-bound and high-level structured network code. -
20
Growler
Growler
Growler is a web framework built atop asyncio, the asynchronous library described in PEP 3156 and added to the standard library in python 3.4. It takes a cue from the Connect & Express frameworks in the nodejs ecosystem, using a single application object and series of middleware to process HTTP requests. The custom chain of middleware provides an easy way to implement complex applications. The pip utility allows packages to provide optional requirements, so features may be installed only upon request. This meshes well with the minimal nature of the Growler project: don't install anything the user doesn't need. That being said, there are (will be) community packages that are blessed by the growler developers (after ensuring they work as expected and are well tested with each version of growler) that will be available as extras directly from the growler package. -
21
TextBlob
TextBlob
TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks. -
22
Horovod
Horovod
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.Starting Price: Free -
23
Feathers
Feathers
Feathers can interact with any backend technology, supports many databases out of the box and works with any frontend technology like React, VueJS, Angular, React Native, Android or iOS. Build prototypes in minutes and production-ready apps in days. Leveraging a unique architecture, Feathers lets you focus on building your APIs and real-time applications quickly. You automatically get scalable HTTP and real-time APIs and stay prepared for whatever else the future might bring. Feathers can be used with NodeJS, in the browser, with React Native or with any other API client. You can use any database with many supports out of the box and connect your API seamlessly to any frontend framework. Built for TypeScript, Feathers provides the structure to create complex applications but is flexible enough to not be in the way. With a large ecosystem of plugins you can include exactly what you need. -
24
Wing Python IDE
Wingware
Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive. -
25
IronPython
IronPython
IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.Starting Price: Free -
26
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.Starting Price: Free -
27
RStudio
Posit
RStudio IDE is a powerful integrated development environment built for data scientists using R and Python; it features a console, syntax-highlighting editor supporting direct code execution, plotting, history management, debugging tools, and workspace controls. The open source edition runs on Windows, Mac, and Linux desktops and includes code completion, smart indentation, Visual Markdown editing, project-based working directories, integrated support for multiple working directories, R help and documentation search, interactive debugging, and extensive tools for package development, all under the AGPL v3 license. While the open version provides core capabilities for coding and data exploration, commercial editions add enterprise-grade features like database/NoSQL connections, priority support, and commercial licensing options. RStudio IDE empowers users to analyze data, build visualizations, develop packages, and produce reproducible workflows in a trusted open-source environment.Starting Price: $1,163 per year -
28
Fat-Free Framework
Fat-Free Framework
Speed up your development process. F3 is lightweight, easy-to-use, and fast. Most of all, it doesn't get in your way. It has a gentle learning curve so you save money on training expenses. Whether you're a novice or an expert PHP programmer, F3 will get you up and running in no time. No unnecessary and painstaking installation procedures and no complex configuration are required. A powerful yet easy-to-use PHP micro-framework designed to help you build dynamic and robust web applications. Full-featured toolkit, super lightweight code base with just ~90kb, and easy to learn. Take advantage of the built-in features. Develop apps that really rock. F3 gives you a solid foundation, a mature code base, and a no-nonsense approach to writing web applications. Under the hood is an easy-to-use web development tool kit, high-performance URL routing, a multi-protocol cache engine, built-in code highlighting, and support for multilingual i18n applications.Starting Price: Free -
29
CodeSpace
Firia Labs
Easy to use browser-based software. Interactive curriculum modules, standards-based, project-driven learning. Physical computing-based robotics. Our unique learning platform brings together a powerful, open-ended coding environment, a teacher-friendly curriculum suite, and an exciting, thoroughly hackable set of hardware tools. CodeSpace helps you deliver real-world learning experiences to your students. Perfect for learning but industry-proven, Python has been used to develop software for Google, YouTube, Spotify, and countless other applications highly relevant to students' lives. Our exclusive use of text-based code, rather than drag and drop blocks, appeals to students seeking relevance, meaning, and real-world value from instruction. Our Python-based curriculum modules lead students (and teachers!) step by step, from basic coding concepts to deep and complex projects. Instructional content is integrated with development tools, so students can practice the mechanics of programming. -
30
CherryPy
CherryPy
CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program. This results in smaller source code developed in less time. CherryPy is now more than ten years old, and it has proven to be fast and reliable. It is being used in production by many sites, from the simplest to the most demanding. In order to make the most of CherryPy, you should start with the tutorials that will lead you through the most common aspects of the framework. Once done, you will probably want to browse through the basics and advanced sections that will demonstrate how to implement certain operations. Finally, you will want to carefully read the configuration and extend sections that go in-depth regarding the powerful features provided by the framework. -
31
Python RPA
Python RPA
Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.Starting Price: $275 per month -
32
Python
Python
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.Starting Price: Free -
33
ToothPicker
Secure Mobile Networking Lab
ToothPicker is an in-process, coverage-guided fuzzer for iOS. It was developed to specifically target iOS's Bluetooth daemon and to analyze various Bluetooth protocols on iOS. As it is built using FRIDA, it can be adapted to target any platform that runs FRIDA. This repository also includes an over-the-air fuzzer with an exemplary implementation to fuzz Apple's MagicPairing protocol using InternalBlue. Additionally, it contains the ReplayCrashFile script that can be used to verify crashes the in-process fuzzer has found. This is a very simple fuzzer that only flips bits and bytes of inactive connections. No coverage, no injection, but nice as a demo and stateful. Runs just with Python and Frida, no modules or installation are required. ToothPicker is built on the codebase of frizzer. It is recommended to set up a virtual Python environment for frizzer. Starting from the iPhone XR/Xs, PAC has been introduced.Starting Price: Free -
34
Django
Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel. Django was designed to help developers take applications from concept to completion as quickly as possible. Django takes security seriously and helps developers avoid many common security mistakes. Some of the busiest sites on the web leverage Django’s ability to quickly and flexibly scale. Django includes dozens of extras you can use to handle common web development tasks. Django takes care of user authentication, content administration, site maps, RSS feeds, and many more tasks — right out of the box.Starting Price: Free -
35
Daft
Daft
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Daft can handle User-Defined Functions (UDFs) in columns, allowing you to apply complex expressions and operations to Python objects with the full flexibility required for ML/AI. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. -
36
pywinauto
pywinauto
pywinauto is a set of python modules to automate the Microsoft Windows GUI. At its simplest it allows you to send mouse and keyboard actions to Windows dialogs and controls. pywinauto can be installed with pip and conda. Python is a great programming language, but there are no automation tools that were Pythonic (very few libraries were implemented in Python). The very first necessary thing is to determine which accessibility technology (pywinauto’s backend) could be used for your application. First, you should start your application or connect to an existing app instance. It can be done with an application object. It’s a core concept for the high-level pywinauto API. You are able to describe any window or control approximately or in more detail even if it doesn’t exist yet or is already closed. Window specification also keeps the information about the matching/search algorithms that will be used to get a real window or control.Starting Price: Free -
37
Positron
Posit PBC
Positron is a next-generation, free, open source available integrated development environment for data science, built to support both Python and R in one unified workflow. It enables data professionals to move from exploration to production by offering interactive consoles, notebook support, variables and plot panes, and built-in previews of apps alongside code, all without needing extensive configuration. The IDE includes AI-assisted tools like the Positron Assistant and Databot agent to help write or refine code, perform exploratory analysis, and accelerate development. It offers features like a dedicated Data Explorer for viewing dataframes, a connections pane for databases, a variables pane, a plot pane, and seamless switch between R and Python with full support for notebooks, scripts, and visual dashboards. With version control, extensions support, and deep integration with other tools in the Posit Software ecosystem.Starting Price: Free -
38
Bokeh
Bokeh
Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.Starting Price: Free -
39
Boot.dev
Boot.dev
Boot.dev is an online learning platform focused on teaching backend development through a hands-on, code-centric approach. The platform emphasizes writing extensive code to avoid "tutorial hell" and promotes "dopamine-driven development" to keep learners motivated. Students build portfolio projects to demonstrate their skills and delve into foundational concepts, all while learning flexibly online. The curriculum covers in-demand backend technologies such as Python, SQL, and Go, with courses taught by experienced engineers from companies like Netflix and SourceGraph. Boot.dev offers a structured path to a backend career, typically taking part-time learners around 12 months to complete. The platform also provides a supportive online community, allowing students to connect with peers and instructors. Notably, Boot.dev offers a 30-day refund policy to ensure student satisfaction.Starting Price: $21.42 per month -
40
AIOHTTP
AIOHTTP
Supports both client and server side of HTTP protocol, both client and server web-sockets out-of-the-box, and avoids callback hell and web-server with middlewares and pluggable routing. -
41
Oorian
Corvus Engineering
Oorian is Java-based framework for creating dynamic, interactive, data-driven web applications purely in Java allowing you to leverage all the benefits of object-oriented design in your applications front-end to back-end. Your entire web application, including the UI, can be written in Java without the need for maintaining separate HTML, CSS, and/or Javascript code. -
42
Wasp
Wasp, Inc.
Wasp is a full-stack web application framework that allows developers to build apps faster with less boilerplate code. It integrates React for frontend development, Node.js for backend, and Prisma for database management, enabling developers to focus on the essential parts of their app. The framework’s declarative syntax and simplified configuration mean that developers can describe their app's high-level structure in a .wasp file, and the system automatically handles much of the repetitive work, including routing, authentication, and API management. Wasp's goal is to simplify app development without sacrificing flexibility, making it ideal for building MVPs and production-ready applications.Starting Price: Free -
43
MicroPython
MicroPython
The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Yet it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system. -
44
PySaaS
PySaaS
PySaaS is a pure Python SaaS starter kit that streamlines the development of software-as-a-service applications by providing a boilerplate codebase for both frontend and backend components. It offers built-in user authentication through Supabase or Firebase, subscription management via Lemon Squeezy, and a pre-designed landing page with feature and pricing card components. The platform includes a blog content management system integrated with Notion, allowing for effortless content creation and publication. Developers can utilize Supabase, Firebase, or the built-in SQLite database for data management, and have the flexibility to integrate existing databases with minimal configuration. PySaaS enables the creation of fully customizable and responsive frontend UI components using Python functions, eliminating the need to work with HTML, CSS, or JavaScript. Deployment is simplified, allowing applications to be hosted on any cloud provider by editing a single line in the configuration file.Starting Price: $149 one-time payment -
45
Massive
Massive
Massive is a market-data infrastructure platform built to provide real-time and historical financial data to developers, startups, and trading firms. It delivers institutional-grade market data across stocks, options, indices, currencies, and futures, all via a streamlined API, WebSocket, flat-file S3 access, or SQL query interface. The platform emphasizes low latency, direct connectivity to major exchanges (NYSE, NASDAQ, CBOE, OTC), and data normalization to eliminate survivorship bias and outdated pipelines. Massive positions itself as “modernizing Wall Street” by removing legacy bottlenecks and providing the same quality of market data typically reserved for large institutions, but now accessible to any app builder. The platform also includes extensive documentation, client libraries in Python, JavaScript, Go, and Java, tutorials, and example projects to accelerate integration.Starting Price: $29 per month -
46
Pylons
Python Software Foundation
The Pylons web framework is designed for building web applications and sites in an easy and concise manner. They can range from as small as a single Python module, to a substantial directory layout for larger and more complex web applications. Pylons comes with project templates that help boot-strap a new web application project, or you can start from scratch and set things up exactly as desired. A framework to make writing web applications in Python easy. Utilizes a minimalist, component-based philosophy that makes it easy to expand on. Harness existing knowledge about Python. Extensible application design. Fast and efficient, an incredibly small per-request call stack provides top performance. Uses existing and well-tested Python packages. Pylons 1.0 series is stable and production-ready but in maintenance-only mode. The Pylons Project now maintains the Pyramid web framework for future development. Pylons 1.0 users should strongly consider using Pyramid for their next project.Starting Price: Free -
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Pythagora
Pythagora
Pythagora is an AI-powered platform designed to help developers build full-stack web applications with minimal coding effort. It integrates a suite of AI agents that collaborate to write code, review it, build tests, debug, and deploy apps. By automating many tasks involved in the software development lifecycle, Pythagora enables developers to work more efficiently and accelerate the development process. The platform supports frontend development in React and backend in Node.js, with Python support coming soon. With its ability to handle multiple aspects of development, Pythagora is ideal for quickly building both MVPs and production-ready applications. It simplifies the creation of scalable and maintainable applications, making it suitable for both small startups and large enterprises.Starting Price: $49/month -
48
ranger
ranger
ranger is a console file manager with VI key bindings. It provides a minimalistic and nice curses interface with a view of the directory hierarchy. It ships with rifle, a file launcher that is good at automatically finding out which program to use for what file type. The examples/ directory contains several scripts and plugins that demonstrate how ranger can be extended or combined with other programs. These files can be found in the git repository. UTF-8 Support (if your Python copy supports it). Multi-column display. Preview of the selected file/directory. Common file operations (create/chmod/copy/delete/...) Renaming multiple files at once. VIM-like console and hotkeys. Automatically determine file types and run them with the correct programs. Change the directory of your shell after exiting ranger. Tabs, bookmarks, mouse support, etc.Starting Price: Free -
49
Gatsby
Gatsby
Gatsby is an open-source, modern website framework that builds performance into every site by leveraging the latest web technologies such as React and GraphQL. Create blazing-fast apps and websites without needing to become a performance expert. Preview is like a private playground for developers, designers, and content creators. It provides a shareable temporary URL for viewing changes immediately and in context—so you can make sure that new header plays nicely with the rest of the page before hitting “publish.” Gatsby Builds is the fastest continuous deployment solution for Gatsby sites and apps—up to 20x faster standard builds times than other solutions, and now up to 1000x faster with Incremental Builds (beta). Use automated Lighthouse performance checks and deploy previews to fix errors before they’re published. Build with Gatsby and deploy to your favorite CDN.Starting Price: $99 per month -
50
UnionML
Union
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior.
