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Finance Software
Financial software is a broad category of financial software. Finance software provides all the necessary tools to record, store, manage, analyze and process financial information, accounting, trading, records, bills, transactions, and more.
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 prolog"
  • 1
    SolveXia

    SolveXia

    SolveXia

    ... amounts of data. Embedded BI to create stunning visualisations from your data. Connectors to AI services and support for Python and R models. Replace your disconnected data silos with powerful, end-to-end automation. Create all of of your reports in minutes, allowing you to spend more time on analysis. Processes can pause, request and collect approvals and data from humans. Share processes and data with your team and reduce key-person risk.
  • 2
    ActiveViam

    ActiveViam

    ActiveViam

    ... and more. Based on our proprietary ActivePivot technology, leveraging Python and Java with a strong focus on collaboration, Atoti+ brings together the builders and consumers of analytics applications to accelerate and streamline the design and development process. Innovative data analytics that empower financial services firms to be ready for the unexpected. Integrates with existing databases, risk engines and BI tools.
  • 3
    Tradefeeds

    Tradefeeds

    Tradefeeds

    ... formats: either through JSON REST API or as downloadable CVS and Excel files. Keep in mind that our developer-friendly API is available in several programming languages including Javascript, JQuery, VueJS, Angular, JAVA, PHP, NodeJS, Python, Go, Ruby, C#, R, Strest, Rust, Swift and Scala. Regardless of the format of your choice, you will access data instantly. Our customer base is diverse and it consists of fintechs, financial institutions, investors, traders, universities, developers and more.
    Starting Price: $99/month
  • 4
    Taktile

    Taktile

    Taktile

    ... and performance insights so that you can optimize your decisioning based on evidence rather than instinct. Easily design rich decision flows using pre-built no-code blocks such as rules and decision tables as well as free-form Python code. Infuse your decisions with model predictions by using Taktile's native machine learning platform or integrations with cloud ML tools. Leverage new signals in your decision flow and experiment with alternative data from one of Taktile's off-the-shelf integrations.
  • 5
    Modeller

    Modeller

    Paragon Business Solutions

    ..., for optimal predictive accuracy – especially on datasets with multicollinearity and complex interrelationships. Create industry-standard continuous and binary target models at the click of a button. Use decision tree modeling with CART and CHAID trees. Choose from logistic regression, elastic net models, survival analysis (Cox PH), random forests, XGBoost, stochastic gradient descent and more. Export options for implementation in other scoring and decisioning software include SAS, SQL, PMML and Python.
  • 6
    Ntropy

    Ntropy

    Ntropy

    Ship faster integrating with our Python SDK or Rest API in minutes. No prior setups or data formatting. You can get going straight away as soon as you have incoming data and your first customers. We have built and fine-tuned custom language models to recognize entities, automatically crawl the web in real-time and pick the best match, as well as assign labels with superhuman accuracy in a fraction of the time. Everybody has a data enrichment model that is trying to be good at one thing, US...
  • 7
    Equifax Ignite for Financial Services
    ... for more predictive analytics within your specific industry. Create powerful analyses, understand trends within financial services, and discover how well you are performing in certain areas relative to your peer groups. Explore many of our powerful data assets by using industry standard tools such as Python® and BigQuery. Then leverage even more automation power with Attribute Engine and Advanced Model Engine from Equifax.
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