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Algorithmic Trading Software
Algorithmic trading software enhances and automates trading capabilities for trading financial instruments such as equities, securities, digital assets, currency, and more. Algorithmic trading software, also known as algo trading software or automated trading software, enables the automatic execution of trades depending on occurrences of specified criteria, indicators, and movements by connecting with a broker or exchange.
No-Code Development Platforms
No-code development platforms provide a way for users to design, build, and develop software applications without the need for traditional coding. They are built in such a way that users can rely on simple visual interfaces with drag and drop type tools, allowing them to rapidly develop applications with minimal technical knowledge. This makes no-code development platforms ideal for any user regardless of programming experience, from hobbyists to entrepreneurs. Furthermore, modern no-code platforms allow complex mobile apps or web projects to be created more quickly than ever before.
Code Collaboration Tools
Code collaboration tools are platforms that enable developers to work together on software projects by facilitating real-time collaboration, version control, and code sharing. These tools allow multiple developers to edit and review code simultaneously, track changes, and manage different versions of code through branches and commits. Key features typically include code reviews, pull requests, conflict resolution, issue tracking, and integration with version control systems like Git. Code collaboration tools are essential for team-based development environments, ensuring smooth coordination and improving productivity in software projects.
QR Code Generators
QR code generators are tools that allow users to create quick response (QR) codes, which are machine-readable barcodes that store information such as URLs, text, contact details, or Wi-Fi credentials. These tools typically allow users to customize QR codes by changing their size, color, and design while ensuring the code remains scannable. QR code generators are commonly used for marketing, event registration, payments, product packaging, and contactless interactions. They help businesses and individuals provide an easy way for users to access digital content or services through their smartphones or other scanning devices.
Code Editors
Code editors are software tools that allow developers to write, edit, and debug source code for programming and web development. These editors provide essential features like syntax highlighting, code completion, auto-indentation, and error detection to enhance productivity and reduce coding errors. Many code editors also offer integrations with version control systems (like Git), debuggers, and build tools, allowing developers to manage their code and workflows efficiently. While some code editors are lightweight and focused solely on text editing, others offer extensive features and customization options through plugins and extensions. By providing a streamlined environment for coding, code editors are essential for software development, web development, and scripting tasks.
Code Review Tools
Code review tools are software tools designed to examine and analyze source code for errors, bugs, and vulnerabilities. They provide developers with detailed feedback on their code, highlighting areas that need improvement or optimization. These tools use a variety of techniques such as static analysis, unit testing, and peer review to ensure the quality and functionality of the code. In addition to identifying coding issues, they also help improve code security by detecting potential vulnerabilities or weaknesses in the code. Code review tools are an essential part of the development process for any software project.
Infrastructure as Code Software
Infrastructure as Code (IaC) tools are software solutions that enable developers and IT teams to automate the provisioning, configuration, and management of infrastructure using code. These tools allow users to define and manage infrastructure components like servers, databases, and networking resources through configuration files, ensuring consistency and repeatability in infrastructure setups. IaC tools typically support version control, enabling teams to track changes and collaborate on infrastructure management.
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.
Code Enforcement Software
Code enforcement software is software that helps local government agencies and municipalities manage and enforce building codes, zoning laws, and other regulatory compliance requirements. These platforms typically provide features for tracking violations, issuing citations, managing inspections, and automating the code enforcement process. Code enforcement software can also include tools for scheduling inspections, documenting findings, generating reports, and managing case histories. It helps ensure that properties comply with local laws and ordinances, improving efficiency and accountability in enforcement processes. Additionally, it allows for better communication between enforcement officers, residents, and other stakeholders.
Layer 2 Protocols
Layer 2 protocols are blockchain protocols that are built on top of an existing blockchain network. A layer 2 protocol is designed to improve the scaling problems and transaction speeds and fees that layer 1 blockchain networks and protocols face. Decentralized applications can be built on Layer 2 protocols, and layer 2 protocols interact with layer 1 protocols in order to improve efficiency and overall user experience.
Coding Challenge Platforms
Coding challenge platforms, also known as code assessment and technical skills testing platforms, enable developers and organizations to test their coding skills to see what skills need to be improved, or to determine the coding skills of a potential hire. Many coding challenge platforms also offer features like coding competitions, mock interviews, and collaboration opportunities for learning with others. These platforms are popular among job seekers, developers, and coding enthusiasts looking to enhance their problem-solving abilities.
Low-Code Development Platforms
Low-code development platforms are software tools designed to assist developers with the creation of software applications. They provide an alternate means to implementation, reducing the amount of manual coding that needs to be done. Platforms vary based on the type of application being created, enabling users to quickly build and deploy business applications without having extensive technical knowledge or software development experience. Features may include tools for visual modeling, integration connectors, and user interface components.
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.
Source Code Management Software
Source code management (SCM) software is a type of software to help developers track, manage, and version control their source code throughout the software development lifecycle. These tools allow multiple developers to collaborate on the same project by maintaining a centralized repository where code changes are stored and tracked. SCM software typically includes features like version control, branching, merging, and conflict resolution to ensure that code changes are properly managed and integrated. It also provides tools for tracking issues, auditing changes, and ensuring that all team members are working with the latest codebase. SCM software is essential for maintaining code integrity, improving collaboration, and enhancing productivity in development teams.
B2B Payment Platforms
B2B payment platforms are digital solutions designed to facilitate and streamline financial transactions between businesses. These platforms provide secure, efficient, and scalable methods for companies to send and receive payments, manage invoices, and handle cross-border transactions. Features often include support for various payment methods (such as ACH, wire transfers, credit cards, and e-wallets), invoice management, payment reconciliation, and fraud prevention tools. B2B payment platforms help businesses reduce administrative costs, improve cash flow management, and ensure compliance with regulatory requirements. By automating payment workflows and improving the speed and accuracy of transactions, these platforms enhance the overall efficiency of business operations.
B2B Data Providers
B2B data providers offer companies access to large sets of business-related data, which can include information on companies, contacts, industries, financials, and market trends. This data is valuable for businesses looking to expand their customer base, enhance lead generation, conduct market research, or refine their sales strategies. B2B data providers often deliver enriched contact information, company profiles, and detailed insights on decision-makers, helping businesses identify potential leads and make informed decisions. These services may include databases with direct access to contacts, industry reports, and analytics to improve targeted outreach and account-based marketing strategies.
B2B eCommerce Platforms
B2B ecommerce platforms are digital solutions that enable businesses to conduct online transactions with other businesses, focusing on bulk buying and selling, wholesale pricing, and complex procurement processes. These platforms allow businesses to create customized catalogs, manage pricing for different customers or customer segments, and streamline the ordering process. Key features often include secure payment gateways, order tracking, inventory management, and integration with backend systems like ERP and CRM. B2B ecommerce platforms are designed to handle large volumes of orders, facilitate negotiations, and provide business buyers with self-service options for placing orders, managing accounts, and tracking deliveries. They are ideal for businesses looking to expand their reach, optimize purchasing workflows, and build long-term relationships with clients.
P2P Crypto Exchanges
P2P (peer-to-peer) crypto exchanges are cryptocurrency exchanges where users can exchange cryptocurrencies and digital assets directly between themselves, often locally, without any third-party involvement from a broker or custodian.
Code Coverage Tools
Code coverage tools are software utilities designed to analyze the source code of an application and report on the level of code that is tested by automated tests. They usually measure the percentage of lines, blocks, or branches of code that have been executed in a test suite. Many popular programming languages have their own code coverage tools available for developers to use.
Code Signing Software
Code signing software is a type of program that digitally signs code to ensure its authenticity and integrity. It verifies the identity of the author or publisher of the code, and helps protect users from malicious software by providing evidence that the code was not altered during transit. Code signing can be used for a variety of purposes, including software distribution, configuration management, and digital document authentication. It is an essential part of maintaining secure electronic communication between two parties.
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56 Products for "ns2 code with algorithm" with 2 filters applied:

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  • 1
    Obviously AI

    Obviously AI

    Obviously AI

    The entire process of building machine learning algorithms and predicting outcomes, packed in one single click. Not all data is built to be ready for ML, use the Data Dialog to seamlessly shape your dataset without wrangling your files. Share your prediction reports with your team or make them public. Allow anyone to start making predictions on your model. Bring dynamic ML predictions into your own app using our low-code API.
    Starting Price: $75 per month
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  • 2
    MATLAB

    MATLAB

    The MathWorks

    ...Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.
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    10 Ratings
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  • 3
    Solvuu

    Solvuu

    Solvuu

    ...Accelerate research, enable innovation and create value by adopting effective digital technology solutions to improve crop productivity. Import your small and big data. Organize according to our templates, or define your own schema. Our format inference algorithm synthesizes parsing functions and lets you override if needed, without coding. Use our interactive import screens or CLI for bulk imports. Your data is not just bytes. Solvuu automatically computes relevant summary statistics and generates rich interactive visualizations. Explore and gain insights into your data immediately; slice and dice as needed.
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  • 4
    FutureAnalytica

    FutureAnalytica

    FutureAnalytica

    Ours is the world’s first & only end-to-end platform for all your AI-powered innovation needs — right from data cleansing & structuring, to creating & deploying advanced data-science models, to infusing advanced analytics algorithms with built-in Recommendation AI, to deducing the outcomes with easy-to-deduce visualization dashboards, as well as Explainable AI to backtrack how the outcomes were derived, our no-code AI platform can do it all! Our platform offers a holistic, seamless data science experience. With key features like a robust Data Lakehouse, a unique AI Studio, a comprehensive AI Marketplace, and a world-class data-science support team (on a need basis), FutureAnalytica is geared to reduce your time, efforts & costs across your data-science & AI journey. ...
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  • 5
    Microsoft R Open
    ...You should be able to run existing R script on newer versions, with the exception of dependencies on packages or platforms that are no longer supported, or known issues that require a workaround or code change. Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. The current release, Microsoft R Open 4.0.2, is based the statistical language R-4.0.2 and includes additional capabilities for improved performance, reproducibility and platform support. Compatibility with all packages, scripts and applications that work with R-4.0.2.
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  • 6
    NVIDIA RAPIDS
    ...RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. ...
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  • 7
    Oracle Machine Learning
    ...Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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  • 8
    SAS Viya
    ...Analytics team members can add project notes to the insights report to facilitate communication and collaboration among team members. SAS lets you embed open source code within an analysis and call open source algorithms seamlessly within its environment. This facilitates collaboration across your organization because users can program in their language of choice. You can also take advantage of SAS Deep Learning with Python (DLPy), our open-source package on GitHub.
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  • 9
    Google Cloud BigQuery
    ...At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.
    1,867 Ratings
    Starting Price: Free ($300 in free credits)
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  • 10
    Oracle Data Science
    ...Building a machine learning model is an iterative process. In this ebook, we break down the process and describe how machine learning models are built. Explore notebooks and build or test machine learning algorithms. Try AutoML and see data science results. Build high-quality models faster and easier. Automated machine learning capabilities rapidly examine the data and recommend the optimal data features and best algorithms. Additionally, automated machine learning tunes the model and explains the model’s results.
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  • 11
    Analance
    ...It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. Company – Overview Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance.
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  • 12
    Shapelets

    Shapelets

    Shapelets

    Powerful computing at your fingertips. Parallel computing, groundbreaking algorithms, so what are you waiting for? Designed to empower data scientists in business. Get the fastest computing in an all-inclusive time-series platform. Shapelets provides you with analytical features such as causality, discords and motif discovery, forecasting, clustering, etc. Run, extend and integrate your own algorithms into the Shapelets platform to make the most of Big Data analysis.
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  • 13
    Quadratic

    Quadratic

    Quadratic

    ...In Quadratic you can expand your recipes to as many lines as you need. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. The last line of code is returned to the spreadsheet. Raw values, 1/2D arrays, and Pandas DataFrames are supported by default. Pull or fetch data from an external API, and it updates automatically in Quadratic's cells. Navigate with ease, zoom out for the big picture, and zoom in to focus on the details. Arrange and navigate your data how it makes sense in your head, not how a tool forces you to do it.
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  • 14
    Vertex AI
    ...Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.
    743 Ratings
    Starting Price: Free ($300 in free credits)
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  • 15
    MLJAR Studio
    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. ...
    Starting Price: $20 per month
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  • 16
    JetBrains Datalore
    ...You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.
    Starting Price: $19.90 per month
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  • 17
    Metacoder

    Metacoder

    Wazoo Mobile Technologies LLC

    ...We help organizations distribute their work transparently by enabling model sharing, and we make management of the machine learning pipeline easy to make tweaks. Soon we will be including code free solutions for image, audio, video, and biomedical data.
    Starting Price: $89 per user/month
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  • 18
    JetBrains DataSpell
    Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. ...
    Starting Price: $229
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  • 19
    H2O.ai

    H2O.ai

    H2O.ai

    H2O.ai is the open source leader in AI and machine learning with a mission to democratize AI for everyone. Our industry-leading enterprise-ready platforms are used by hundreds of thousands of data scientists in over 20,000 organizations globally. We empower every company to be an AI company in financial services, insurance, healthcare, telco, retail, pharmaceutical, and marketing and delivering real value and transforming businesses today.
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  • 20
    Coder

    Coder

    Coder

    Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise.
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  • 21
    Zerve AI

    Zerve AI

    Zerve AI

    Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. ...
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  • 22
    ZinkML

    ZinkML

    ZinkML Technologies

    ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring.
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  • 23
    Kedro

    Kedro

    Kedro

    Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily.
    Starting Price: Free
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  • 24
    Algopine

    Algopine

    Algopine

    ...Software service which automatically suggests product price movements to improve profit by using statistical price and demand elasticity models. API for computing optimal path routes for batch picking time optimization in a retailer's warehouse, which is built on shortest path graph algorithms.
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  • 25
    Dask

    Dask

    Dask

    ...Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. ...
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  • 26
    Jupyter Notebook

    Jupyter Notebook

    Project Jupyter

    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.
    3 Ratings
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  • 27
    SAS Enterprise Miner
    ...Analytics results are displayed in easy-to-understand charts that provide the insights needed for better decision-making. Create better-performing models using innovative algorithms and industry-specific methods. Verify results with visual assessment and validation metrics.
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  • 28
    Brilent

    Brilent

    Brilent

    ...Using hundreds of variables from these familiar recruiting elements and the market data, we use our well-honed experience to apply artificial intelligence and machine learning algorithms to predict how likely a candidate is a good fit for a particular job. In other words, a whole lot of data crunching, and completed in seconds. Recruiters get a ranking of candidates according to the desired specifications.
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  • 29
    FICO Analytics Workbench
    ...FICO® Analytics Workbench™ is an integrated suite of state-of-the-art analytic authoring tools that empowers companies to improve business decisions across the customer lifecycle. With it, data scientists can build superior decisioning capabilities using a wide range of predictive data modeling tools and algorithms, including the latest machine learning (ML) and explainable artificial intelligence (xAI) approaches. We enhance the best of open source data science and machine learning with innovative intellectual property from FICO to deliver world-class analytic capabilities to discover, combine, and operationalize predictive signals in data. ...
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  • 30
    Bitfount

    Bitfount

    Bitfount

    Bitfount is a platform for distributed data science. We power deep data collaborations without data sharing. Distributed data science sends algorithms to data, instead of the other way around. Set up a federated privacy-preserving analytics and machine learning network in minutes, and let your team focus on insights and innovation instead of bureaucracy. Your data team has the skills to solve your biggest challenges and innovate, but they are held back by barriers to data access. ...
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