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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.
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455 Products for "python tkinter" with 1 filter applied:

  • 1
    GeoSpock

    GeoSpock

    GeoSpock

    ... to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.
  • 2
    Visual Studio Code
    ... right from the editor. Push and pull from any hosted SCM service. Want even more features? Install extensions to add new languages, themes, debuggers, and to connect to additional services. Extensions run in separate processes, ensuring they won't slow down your editor. Learn more about extensions. With Microsoft Azure you can deploy and host your React, Angular, Vue, Node, Python (and more!) sites, store and query relational and document based data, and scale with serverless computing.
  • 3
    Hopsworks

    Hopsworks

    Logical Clocks

    Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on...
    Starting Price: $1 per month
  • 4
    Coursera

    Coursera

    Coursera

    Build skills with courses, certificates, and degrees online from world-class universities and companies. Learn the latest skills like business analytics, graphic design, Python, and more. Get ready for a career in high-demand fields like IT, AI and cloud engineering. Earn a certificate or degree from a leading university in business, computer science, and more. Upskill your organization with on-demand training and development programs. Start streaming on-demand video lectures today from top...
  • 5
    CloudRepo

    CloudRepo

    CloudRepo

    CloudRepo provides fully managed, cloud-based, private repositories. With CloudRepo, developers store and access Public and Private, Maven, and Python repositories in the cloud. CloudRepo stores your maven repositories across multiple physical servers reducing the probability of data loss & maven repository downtime due to hardware failure. We help reduce time and resources spent running unsecured & vulnerable maven repositories, which allows everyone to focus on developing more. Your team has...
    Starting Price: $79 per month
  • 6
    TinyPNG

    TinyPNG

    Tinify

    TinyPNG (by Tinify) is a free image optimization tool trusted by developers and designers worldwide. It uses smart lossy compression to compress JPEG, PNG, WebP, and AVIF files by up to 80% without visible quality loss - boosting speed, SEO, and reducing bandwidth. Compress, convert, and resize images via our intuitive web app or powerful API. SDKs are available for Python, Node.js, PHP, Java, Ruby, and .NET. Includes an official WordPress plugin and a growing ecosystem of community...
    Starting Price: $0
  • 7
    RabbitMQ

    RabbitMQ

    RabbitMQ

    ...-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.
    Starting Price: Free
  • 8
    Codecov

    Codecov

    Codecov

    Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project...
    Starting Price: $10 per user per month
  • 9
    InterSystems IRIS

    InterSystems IRIS

    InterSystems

    ... greater performance and scalability. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS includes
  • 10
    Apache Spark

    Apache Spark

    Apache Software Foundation

    Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning...
  • 11
    RedLine13

    RedLine13

    RedLine13

    ... you the flexibility of writing load tests in languages and utilities you use every day. You can write custom tests in Python, PHP or Node.js. We provide an open, easy, and cheap way for load testing. We achieve this with an open architecture which provides tuning and control to setting up the cloud load agents.
    Starting Price: $0 per month
  • 12
    Google Colab
    Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation...
  • 13
    Google Cloud Datalab
    ... knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.
  • 14
    Altinity

    Altinity

    Altinity

    Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana...
  • 15
    Google Tasks
    Get more done with the Google Tasks mobile app. Manage, capture, and edit your tasks from anywhere, at anytime, with to-dos that sync across all your devices. Integrations with Gmail and Google Calendar help you get tasks done—faster. The Google Tasks API lets you search, read, and update Google Tasks content and metadata. This document describes how to use a RESTful calling style and client libraries for various programming languages (currently Java, Python, and PHP) to access and edit Google...
  • 16
    Spirent iTest

    Spirent iTest

    Spirent Communications

    Using iTest, product validation teams can create automated, reusable tests quickly and efficiently. Automation frees these teams to focus on creating comprehensive test suites, rather than performing manual tests. Comprehensive test suites make it possible to find bugs earlier in the development cycle when it’s faster and easier to implement fixes. This speeds new technology releases and improves quality. Whether you are using Python, or open source or in-house automation frameworks, i...
  • 17
    Google Cloud Deployment Manager
    Create and manage cloud resources with simple templates. Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use Python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments. By creating configuration files which define the resources...
  • 18
    Azure Pipelines
    Automate your builds and deployments with Pipelines so you spend less time with the nuts and bolts and more time being creative. Get cloud-hosted pipelines for Linux, macOS, and Windows. Build web, desktop and mobile applications. Deploy to any cloud or on‑premises. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Easily build and push images to container registries like Docker Hub and Azure Container...
  • 19
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS. You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your...
  • 20
    Azure DevOps Projects
    ..., Python, Go and others—and many of their popular frameworks. Or deploy your own application hosted on a source control. Run your application on Windows or Linux. Simply deploy to Azure Web App, Virtual Machine, Service Fabric or choose Azure Kubernetes Service for your application. While options are wide-ranging, execution is simple and fast. Get rich performance monitoring, powerful alerting, and easy-to-consume dashboards to help ensure your applications are available and performing.
  • 21
    Pulumi

    Pulumi

    Pulumi

    ... environments. Audit and secure. Know who changed what, when, and why. Enforce deployment policies with your identity provider of choice. Secrets management. Keep secrets safe with easy, built-in encrypted configuration. Familiar programming languages. Define infrastructure in JavaScript, TypeScript, Python, Go, or any .NET language, including C#, F#, and VB. Your favorite tools. Use familiar IDEs, test frameworks, and tools. Share and reuse. Codify best practices and policies.
  • 22
    Hybrid MLM

    Hybrid MLM

    Hybrid MLM Software

    Our software platform is designed with modern premium technologies like; MySQL, PHP, Apache, jQuery, Python, MongoDB, and NodeJS which are highly secure and will withstand any form of cyber threat or attack to give you the best-secured user experience. HybridMLM software comes with optimized business intelligence tools that will provide you with a fast, accurate, and efficient translation of complex statistical data. Hybrid MLM software’s dashboard is also highly interactive with a simple user...
    Starting Price: $699
  • 23
    YAG-Suite
    ... in their understanding of the vulnerability causes and impacts. Its contextual remediation support them in fixing efficiently the problems while improving their secure coding skills. Additionally, YAG-Suite's unprecedented 'code mining' support security investigations of an unknown application with mapping all relevant code features and security mechanisms and offers querying capabilities to search for 0-days or non automatically detectable risks. PHP, Java and Python are supported. JS, C/C++ coming soon
    Starting Price: From €500/token or €150/mo
  • 24
    Sparrow SAST
    Support over 20 languages including Java, JSP, C/C++, C#, Python, Swift, ASP(.NET), ABAP, Object C, etc. Complies with global security compliances guides and standards. MVC structure analysis, associated file analysis, and analysis of function call relationship in various levels. Incremental analysis: Minimize analysis time by only analyzing newly added, modified files and their associated files. Interact with other Sparrow AST solutions (DAST, RASP) to identify correlation among...
  • 25
    IBM Cloud Data Shield
    IBM Cloud™ Data Shield enables users to run containerized applications in a secure enclave on an IBM Cloud Kubernetes Service host, providing data-in-use protection. IBM Cloud Data Shield supports user-level code to allocate private regions of memory, called enclaves, that are protected from processes running at higher privilege levels. It extends Intel Software Guard Extensions (SGX) language support from C and C++ to Python and Java™, while also providing preconverted SGX applications for My...
  • 26
    Arcade Trader

    Arcade Trader

    Arcade Trader

    One integrated platform that assists during the entire lifecycle: from the initial spark of an idea to actual live trading of a thoroughly tested algorithmic strategy using funds from your brokerage account. Arcade Trader can be used by beginner traders up to professional hedge fund managers. You don't need to be a computer programmer. With Arcade's intuitive Natural Language, creating algorithms is as easy as writing a sentence. If you're a programmer, then you can use Javascript or Python...
    Starting Price: $19.99 per month
  • 27
    Hasterisk

    Hasterisk

    Solution Factory

    ...” application. Explore the areas of business management and refine your business analysis and its operations. Planning. Gantt chart, PERT Networks, Production management, Process mapping, Business intelligence, Master data management, Material Requirement Planning (MRP). Technologies. Micro-services, Artificial Intelligence & Machine Learning, Data Science & Python, SQL & Databases, Application Integration Methods, ETL, EAI, REST API.
    Starting Price: $10 per user, per month
  • 28
    DeepSource

    DeepSource

    DeepSource

    DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most...
    Starting Price: $12 per user per month
  • 29
    Barchart OnDemand
    ..., JSON and CSV, and can be streamed over WebSockets. We’re compatible with any operating system, such as Windows, Linux, iOS or Android, and any programming language, such as Python, Java, PHP, R, or ASP.NET. We embrace the cloud but also maintain physical data centers for specific client needs. Through our Equinix-based facilities we cater to low latency requirements and provide a true physical back-up.
  • 30
    Quandl

    Quandl

    Quandl

    The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks. Quandl delivers market data from hundreds of sources via API, or directly into Python, R, Excel and many other tools. Save time and money by getting the data you need in the format you want. Our unparalleled consumption experience frees your analysts...