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Application Development Software
Application development software is a type of software used to create applications and software programs. It typically includes code editors, compilers, and debuggers that allow developers to write, compile, and debug code. It also includes libraries of pre-written code that developers can use to create more complex and powerful applications.
Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
View more categories (5) for "python tkinter"
  • 1
    Jedi

    Jedi

    Jedi

    Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base...
  • 2
    WTForms

    WTForms

    WTForms

    WTForms is a flexible forms validation and rendering library for Python web development. It can work with whatever web framework and template engine you choose. It supports data validation, CSRF protection, internationalization (I18N), and more. There are various community libraries that provide closer integration with popular frameworks. WTForms tries to provide as usable an API as possible. We’ve listed here some of the known libraries to work with WTForms, but if it’s not listed, it doesn...
    Starting Price: Free
  • 3
    hug

    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...
  • 4
    SuperAGI SuperCoder
    SuperAGI SuperCoder is an open-source autonomous system that combines AI-native dev platform & AI agents to enable fully autonomous software development starting with python language & frameworks SuperCoder 2.0 leverages LLMs & Large Action Model (LAM) fine-tuned for python code generation leading to one shot or few shot python functional coding with significantly higher accuracy across SWE-bench & Codebench As an autonomous system, SuperCoder 2.0 combines software guardrails specific...
    Starting Price: Free
  • 5
    {CodeWhizz}

    {CodeWhizz}

    {CodeWhizz}

    The AI-Powered Python and JavaScript Generator/Debugger/Tutor. Become a pro-coder in seconds. Generate pro-level code in an instant. Type what you need, run the program, and boom! The Whizzy AI model will compute your request and generate your code in an editable code window, so you can touch it up and personalize it however you need. Don't hassle with clunky and slow IDE's, the integrated CodeEngine will run your Python code and generate outputs, and plots, seamlessly. The Script...
    Starting Price: $37.50 per month
  • 6
    Zato

    Zato

    Zato

    Do less to achieve more and make progress that matters for your business and social initiatives in the integrated world of today. Zato is an open-source, Python-based platform that lets you build and deliver enterprise solutions with ease, from online APIs, business processes, data science, AI, ML, IoT, mainframe and cloud migrations to automation, digital transformation, knowledge graphs and state-of-the-art technologies, combining ease of use with safety and security. Gain advantage by using...
  • 7
    PySaaS

    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...
    Starting Price: $149 one-time payment
  • 8
    AIOHTTP

    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.
  • 9
    Lucidworks Fusion
    Fusion transforms your siloed data into personalized insights unique to each user. Lucidworks Fusion lets customers easily deploy AI-powered data discovery and search applications in a modern, containerized, cloud-native architecture. Data scientists interact with those applications by leveraging existing machine learning models and workflows. Or they can quickly create and deploy new models using popular tools like Python ML, TensorFlow, scikit-learn, and spaCy. Reduce the effort and risk...
  • 10
    Streamlit

    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...
  • 11
    Apache Lucene

    Apache Lucene

    Apache Software Foundation

    The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open...
  • 12
    Amazon SageMaker Pipelines
    Using Amazon SageMaker Pipelines, you can create ML workflows with an easy-to-use Python SDK, and then visualize and manage your workflow using Amazon SageMaker Studio. You can be more efficient and scale faster by storing and reusing the workflow steps you create in SageMaker Pipelines. You can also get started quickly with built-in templates to build, test, register, and deploy models so you can get started with CI/CD in your ML environment quickly. Many customers have hundreds of workflows...
  • 13
    Keepsake

    Keepsake

    Replicate

    Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves...
    Starting Price: Free
  • 14
    Writer AI Studio
    The fastest way to build AI apps. Build AI apps and workflows that are fully integrated with the Writer full-stack generative AI platform. Writer API: Integrate enterprise-grade generative AI directly into your own tools and services. Writer Framework: Visual editor in the front, Python in the back Build feature-rich AI apps quickly with an open-source, Python framework. Build with no code Ship AI apps easily without writing a single line of code. Stop stitching together a stack...
  • 15
    Azure Functions
    ... and scenarios, such as web apps and APIs with .NET, Node.js, or Java; machine learning workflows with Python; and cloud automation with PowerShell. Get a complete serverless application development experience—from building and debugging locally to deploying and monitoring in the cloud.
  • 16
    Immunity Debugger

    Immunity Debugger

    Immunity Debugger

    Immunity Debugger's interfaces include the GUI and a command line. The command line is always available at the bottom of the GUI. It allows the user to type shortcuts as if they were in a typical text-based debugger, such as WinDBG or GDB. Immunity has implemented aliases to ensure that your WinDBG users do not have to be retrained and will get the full productivity boost that comes from the best debugger interface on the market. Python commands can also be run directly from our command bar...
  • 17
    JupyterLab

    JupyterLab

    Jupyter

    ... and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
  • 18
    pandas

    pandas

    pandas

    pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form...
  • 19
    Checkov

    Checkov

    Prisma Cloud

    Verify changes to hundreds of supported resource types in all major cloud providers. 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. Extend Checkov to define your own custom policies, providers, and suppressions terms...
    Starting Price: Free
  • 20
    Django

    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...
    Starting Price: Free
  • 21
    Flask

    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...
    Starting Price: Free
  • 22
    Nim

    Nim

    Nim

    Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Nim generates native dependency-free executables, not dependent on a virtual machine, which are small and allow easy redistribution. Nim's memory management is deterministic and customizable with destructors and move semantics, inspired by C++ and Rust. It is well-suited for embedded, hard-realtime systems. Modern concepts like zero...
    Starting Price: Free
  • 23
    Arm DDT
    Arm DDT is the number one server and HPC debugger in research, industry, and academia for software engineers and scientists developing C++, C, Fortran parallel and threaded applications on CPUs, GPUs, Intel, and Arm. Arm DDT is trusted as a powerful tool for the automatic detection of memory bugs and divergent behavior to achieve lightning-fast performance at all scales. Cross-platform for multiple servers and HPC architectures. Native parallel debugging of Python applications. Has market...
  • 24
    Seaborn

    Seaborn

    Seaborn

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API...
  • 25
    Sanic

    Sanic

    Sanic

    Intuitive API with smart defaults and no bloat allows you to get straight to work building your app. Build the way you want to build without letting your tooling constrain you. Built from the ground up with speed and scalability as a main concern. It is ready to power web applications big and small. Out of the box, it comes bundled with a web server ready to power your web applications. Sanic is one of the overall most popular frameworks on PyPI, and the top async enabled framework. The...
  • 26
    Growler

    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...
  • 27
    Starlette

    Starlette

    Starlette

    Starlette includes an application class Starlette that nicely ties together all of its other functionality. A list of middleware to run for every request. A starlette application will always automatically include two middleware classes. ServerErrorMiddleware is added as the very outermost middleware, to handle any uncaught errors occurring anywhere in the entire stack. ExceptionMiddleware is added as the very innermost middleware, to deal with handled exception cases occurring in the routing...
  • 28
    CubicWeb

    CubicWeb

    CubicWeb

    Modeling your data is the first step, as it always should be because applications fade away but data is here to stay. Once your model is implemented, your CubicWeb application runs and you can incrementally add high-value functionalities for your users. Based on the application model, RQL is a compact language focused on the attributes and relationships of the data. It is similar to SPARQL but is more readable by human beings. After a RQL request has selected a graph of data, several views...
  • 29
    Socket

    Socket

    Socket

    Secure your supply chain. Ship with confidence. Socket fights vulnerabilities and provides visibility, defense-in-depth, and proactive supply chain protection for JavaScript and Python dependencies. Find and compare millions of open source packages. Socket is not a traditional vulnerability scanner. Socket proactively detects and blocks 70+ signals of supply chain risk in open source code, for comprehensive protection. Prevent compromised or hijacked packages from infiltrating your...
    Starting Price: $8 per user per month
  • 30
    Devv

    Devv

    Devv

    ... and language models based on the specific requirements of the task at hand. Now, you have the ability to generate Python code and execute it directly within Devv. Devv is solely dedicated to developing scenarios. This can let us focus more on building better search indices and models. Our mission is to create the premier information retrieval tool for developers.
    Starting Price: $12 per month