Alternatives to Microsoft R Open

Teradata VantageCloud: Open, Scalable Cloud Analytics for AI VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.

Posit delivers a comprehensive ecosystem for modern data science, uniting open-source technologies with enterprise-grade collaboration and deployment tools. Positron, its free data-science IDE, blends the immediacy of a console with powerful debugging, editing, and production capabilities for Python and R developers. Posit’s suite of products allows organizations to securely host analytical content, automate reporting, and operationalize models with confidence. With strong support for open-source tooling, the company enables teams to build on transparent, extensible technologies they can fully trust. Cloud solutions simplify how users store, access, and scale their projects while maintaining reproducibility and governance. Customer success stories from organizations like Dow, PING, and the City of Reykjavík highlight the impact of Posit-powered applications in real-world environments. Posit also fosters a thriving community, offering resources, events, champions programs, and extensive documentation. Built by data scientists for data scientists, Posit helps teams adopt open-source data science practices at enterprise scale.

Testim is the fastest way to create resilient end-to-end test cases, whether they are codeless or coded. Testim allows you to create codeless, stable tests that leverage our AI. You also have the option to export your tests as code. Testim's JavaScript API is available to you and your IDE. This allows you to debug, modify, or refactor your tests. To keep them in sync, store them in your version control system. Run tests on every commit. Testim is used by millions of customers every month, including NetApp, Wix and JFrog. Find out more on our website.

Enhance the efficiency of the data mining workflow to expedite model development. Gain insight into critical relationships and identify the most significant patterns. Significantly reduce the time it takes for data miners and statisticians to create models. An intuitive, self-documenting process flow diagram environment effectively outlines the complete data mining procedure to yield optimal outcomes. Furthermore, it boasts a wider array of predictive modeling techniques than any other available commercial data mining software. Why settle for anything less than the best? Business professionals and domain experts with minimal statistical expertise can easily construct their own models using SAS Rapid Predictive Modeler. Its user-friendly interface guides them through a sequence of data mining activities. The analytics findings are presented in straightforward charts that deliver the clarity required for improved decision-making. Leverage cutting-edge algorithms and industry-adapted methods to develop superior models. Additionally, confirm the accuracy of results through visual evaluations and validation metrics, ensuring a robust modeling process. This comprehensive approach not only enhances model performance but also empowers users to make informed choices with confidence.

MATLAB® offers a desktop environment specifically optimized for iterative design and analysis, paired with a programming language that allows for straightforward expression of matrix and array mathematics. It features the Live Editor, which enables users to create scripts that merge code, output, and formatted text within an interactive notebook. The toolboxes provided by MATLAB are meticulously developed, thoroughly tested, and comprehensively documented. Additionally, MATLAB applications allow users to visualize how various algorithms interact with their data. You can refine your results through repeated iterations and then easily generate a MATLAB program to replicate or automate your processes. The platform also allows for scaling analyses across clusters, GPUs, and cloud environments with minimal modifications to your existing code. There is no need to overhaul your programming practices or master complex big data techniques. You can automatically convert MATLAB algorithms into C/C++, HDL, and CUDA code, enabling execution on embedded processors or FPGA/ASIC systems. Furthermore, when used in conjunction with Simulink, MATLAB enhances the support for Model-Based Design methodologies, making it a versatile tool for engineers and researchers alike. This adaptability makes MATLAB an essential resource for tackling a wide range of computational challenges.

DSVMs, or Data Science Virtual Machines, are pre-configured Azure Virtual Machine images equipped with a variety of widely-used tools for data analysis, machine learning, and AI training. They ensure a uniform setup across teams, encouraging seamless collaboration and sharing of resources while leveraging Azure's scalability and management features. Offering a near-zero setup experience, these VMs provide a fully cloud-based desktop environment tailored for data science applications. They facilitate rapid and low-friction deployment suitable for both classroom settings and online learning environments. Users can execute analytics tasks on diverse Azure hardware configurations, benefiting from both vertical and horizontal scaling options. Moreover, the pricing structure allows individuals to pay only for the resources they utilize, ensuring cost-effectiveness. With readily available GPU clusters that come pre-configured for deep learning tasks, users can hit the ground running. Additionally, the VMs include various examples, templates, and sample notebooks crafted or validated by Microsoft, which aids in the smooth onboarding process for numerous tools and capabilities, including but not limited to Neural Networks through frameworks like PyTorch and TensorFlow, as well as data manipulation using R, Python, Julia, and SQL Server. This comprehensive package not only accelerates the learning curve for newcomers but also enhances productivity for seasoned data scientists.

Mathematica represents the ultimate solution for contemporary technical computing. Over the past thirty years, it has set the benchmark for excellence in this field, serving as the primary computational framework for countless innovators, educators, students, and various professionals globally. Renowned for its impressive technical capabilities and user-friendly interface, Mathematica offers a unified, ever-evolving system that encompasses the full spectrum of technical computing. This powerful tool is conveniently accessible via any web browser in the cloud and is also available on all current desktop platforms. With a vibrant development process and a clear vision maintained for three decades, Mathematica distinguishes itself across numerous aspects, showcasing its unmatched support for the evolving needs of today’s technical computing environments and workflows, while continuing to adapt and grow with the demands of its users.

RStudio IDE serves as a robust integrated development environment tailored for data scientists working with R and Python, incorporating a console, an editor with syntax highlighting for direct code execution, plotting capabilities, history management, debugging resources, and tools for managing workspaces. The open-source version is compatible with Windows, Mac, and Linux platforms, offering features such as code completion, smart indentation, Visual Markdown editing, project-based directories, integrated support for multiple working directories, R assistance and documentation searching, interactive debugging, and a rich suite of tools for package development, all under the AGPL v3 license. Although the open edition equips users with essential tools for coding and data exploration, the commercial versions enhance functionality with features such as database and NoSQL connections, prioritized support, and commercial licensing options. By using RStudio IDE, users are empowered to conduct data analysis, create visualizations, develop packages, and establish reproducible workflows, all within a secure open-source framework. This versatile environment significantly contributes to the productivity and efficiency of data scientists, making it a popular choice in the field.

This module is not undergoing any active development at the moment. We have ceased the acceptance of pull requests for this repository. OneGet has reached a stable condition and will only be provided with critical bug fixes from Microsoft going forward. Should you have any inquiries or encounter any unforeseen issues with this module, we encourage you to create an issue in the repository. Currently, PackageManagement is compatible with Windows, Linux, and MacOS. Additionally, we regularly release binary updates to PowerShellCore, ensuring that PackageManagement is included in the PowerShell Core distributions. It is important to stay updated on these developments for optimal functionality.

Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform. Stata is quick and accurate. The extensive graphical interface makes it easy to use, but is also fully programable. Stata's menus, dialogs and buttons give you the best of both worlds. All Stata's data management, statistical, and graphical features are easy to access by dragging and dropping or point-and-click. To quickly execute commands, you can use Stata's intuitive command syntax. You can log all actions and results, regardless of whether you use the menus or dialogs. This will ensure reproducibility and integrity in your analysis. Stata also offers complete command-line programming and programming capabilities, including a full matrix language. All the commands that Stata ships with are available to you, whether you want to create new Stata commands or script your analysis.

The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.

The source code for Microsoft's Visual Studio Code (VSCode) is available as open source under the MIT license, yet the downloadable version of the product is subject to a different license that is not considered free and open-source software (FLOSS) and includes telemetry features. To provide an alternative, the VSCodium project was created, allowing users to avoid the hassle of downloading and building from the source code by offering pre-built binaries. This project utilizes specialized build scripts that fetch Microsoft's VSCode repository, execute the necessary build commands, and subsequently upload the finished binaries to GitHub releases, all of which are licensed under the MIT license and have telemetry features disabled. For users on Mac OS X Mojave, if you encounter the message “App can’t be opened because Apple cannot check it for malicious software” when you first try to open VSCodium, you can simply right-click the application and select Open, which should only be necessary the first time you launch it on that operating system. Additionally, comprehensive documentation is available for anyone looking to transition from Visual Studio Code, as well as for addressing various issues that may arise during use of VSCodium. This ensures users have access to all the guidance they need for a smooth experience.

By developing on the Windows platform, you become part of a global network of partners that encompasses a range of hardware and software solutions, integrations, and services. You can take advantage of our ever-evolving feature set and developer-friendly tools, ensuring a seamless experience in building devices. Windows IoT offers a guaranteed 10-Year OS Lifecycle Support through our Long-Term Servicing Channel (LTSC), with no unexpected costs involved. Furthermore, it maintains backward compatibility in accordance with Microsoft's application compatibility promise. Leveraging Windows IoT, you can utilize Azure services to create tailored IoT solutions that meet your specific needs. Azure boasts the most extensive portfolio of cloud services and capabilities, designed to align with the demands of various industries. Additionally, Windows IoT seamlessly integrates with existing device management solutions, enhancing your operational efficiency in the IoT landscape. The combination of these features empowers developers to innovate and streamline their projects effectively.

FileOpen's digital rights management (DRM) solution functions as an intermediary control layer within widely accepted formats and applications. This system features tools for document encryption, client-side decryption software compatible with the most prevalent viewer applications, and server software that employs a publicly published control protocol, which can also be integrated into custom solutions. Utilizing encryption techniques that adhere to industry standards, FileOpen applies the methods stipulated in the relevant format specifications. For instance, in the case of PDFs, it employs AES-256 to ensure compatibility with PDF (ISO 32000) 2.0 and RC4-128 for support of earlier PDF versions. When it comes to Microsoft Office files, AES is utilized as implemented by Microsoft through the add-in API layer. Documents encrypted through FileOpen can only be accessed under the conditions specified by the publisher's PermissionServer, which may allow various combinations of permissions such as printing, editing, copying, annotating, signing, saving changes, and applying additional controls. This level of control ensures that publishers maintain robust oversight over how their documents are utilized and shared.

Microsoft Hands-On Labs offers a straightforward and efficient method for assessing and experimenting with the latest Microsoft products and technologies in virtual settings that eliminate the need for intricate setup or installation procedures. You can access these online virtual labs instantly and at no cost. With the introduction of the Azure DevOps Server 2019 VM and its associated labs on Microsoft Hands-On Labs, users can explore them directly from a web browser or Windows client without the hassle of downloading the full virtual machine. It's important to note that the Hands-on Lab infrastructure is not tailored for classroom training environments, as there are limitations on concurrent usage of the labs. For those interested in implementing them in a classroom setting, it is advisable to reach out to the Learning On-Demand team for guidance. DevOps integrates individuals, processes, and technology to automate software delivery, ensuring a continuous stream of value for end-users. By automating and accelerating the software delivery process, DevOps enhances both the reliability of your workflows and the quality of your products. This ultimately leads to greater efficiency and improved collaboration among team members.

Dask is a freely available open-source library that is developed in collaboration with various community initiatives such as NumPy, pandas, and scikit-learn. It leverages the existing Python APIs and data structures, allowing users to seamlessly transition between NumPy, pandas, and scikit-learn and their Dask-enhanced versions. The schedulers in Dask are capable of scaling across extensive clusters with thousands of nodes, and its algorithms have been validated on some of the most powerful supercomputers globally. However, getting started doesn't require access to a large cluster; Dask includes schedulers tailored for personal computing environments. Many individuals currently utilize Dask to enhance computations on their laptops, taking advantage of multiple processing cores and utilizing disk space for additional storage. Furthermore, Dask provides lower-level APIs that enable the creation of customized systems for internal applications. This functionality is particularly beneficial for open-source innovators looking to parallelize their own software packages, as well as business executives aiming to scale their unique business strategies efficiently. In essence, Dask serves as a versatile tool that bridges the gap between simple local computations and complex distributed processing.

Machine learning reveals concealed patterns and valuable insights within enterprise data, ultimately adding significant value to businesses. Oracle Machine Learning streamlines the process of creating and deploying machine learning models for data scientists by minimizing data movement, incorporating AutoML technology, and facilitating easier deployment. Productivity for data scientists and developers is enhanced while the learning curve is shortened through the use of user-friendly Apache Zeppelin notebook technology based on open source. These notebooks accommodate SQL, PL/SQL, Python, and markdown interpreters tailored for Oracle Autonomous Database, enabling users to utilize their preferred programming languages when building models. Additionally, a no-code interface that leverages AutoML on Autonomous Database enhances accessibility for both data scientists and non-expert users, allowing them to harness powerful in-database algorithms for tasks like classification and regression. Furthermore, data scientists benefit from seamless model deployment through the integrated Oracle Machine Learning AutoML User Interface, ensuring a smoother transition from model development to application. This comprehensive approach not only boosts efficiency but also democratizes machine learning capabilities across the organization.

Nvu offers a comprehensive web authoring system tailored for users of Linux Desktop, Microsoft Windows, and Macintosh, aiming to compete with established programs like FrontPage and Dreamweaver. With its user-friendly interface, Nvu, pronounced "N-view" for a "new view," enables anyone to effortlessly create web pages and manage their websites without requiring technical skills or knowledge of HTML. Both Nvu and its community-supported counterpart, KompoZer, are free and open-source, allowing users to seek assistance if they encounter issues. Although Nvu 1.0 was released in June 2005 and is the final official version found on most download platforms, it is not the most up-to-date or optimal iteration of the software. An unofficial update named "KompoZer" is available, which addresses some of the significant bugs present in NVU 1.0, though it may not resolve all issues. If NVU 1.0 is functioning well for you, it may be best to continue using it, but if you experience difficulties, trying out KompoZer could offer some improvements and enhance your web development experience. Many users appreciate the community support and ongoing development that KompoZer provides, making it a valuable alternative for those looking to enhance their website management capabilities.

SSDN Technologies stands out as a premier IT training institution in India, situated in Gurgaon. As an authorized partner of renowned organizations such as Citrix, VMware, Microsoft, EC-Council, CompTIA, and IBM, SSDN Technologies offers accredited training across a wide array of IT courses, including VMware, Citrix, Microsoft, CEH, AWS, Azure, Machine Learning, CCNA, Linux, Java, Python, Digital Marketing, and numerous other certifications. Students can choose from official training, corporate training, and both online and offline classes, all conducted by certified and experienced instructors. For anyone looking to kickstart or enhance their career in technology, SSDN Technologies provides the ideal environment for achieving professional success and growth. With a commitment to excellence, the institution ensures that learners are equipped with the latest skills and knowledge to thrive in a competitive job market.

KDAN Office is a comprehensive office software suite with professional document, spreadsheet, and presentation creation applications. Highly compatible with Microsoft Office and industry-standard office formats, it empowers professional workers to achieve document goals across various work scenarios, ensuring efficient teamwork and showcasing outstanding results. Key Features: - Available for personal and commercial use. - Priority customer support. - Highly compatible with Microsoft Office, with an intuitive interface for easy adaptation. - OOXML (Office Open XML) and OpenDocument format (ODF) specifications, ensuring smooth file compatibility with major office software.

Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding.

SmarterMail is the ideal Microsoft Exchange alternative. First, it's the only business email server on the market that offers native support for the protocols that power Exchange: MAPI, EWS, and EAS. It does this without the need for any additional software or plug-ins for Microsoft Outlook or other clients -- desktop and mobile! Best of all, it offers all of the features of Exchange, but at a FRACTION of the cost. In addition, features like audio and video group chat, and Online Meetings for team meetings and group collaboration are included at no extra charge. It's designed to provide the functionality businesses need, without sacrificing secure, reliable access to business, and personal, communication.

Integrating systems has become a common expectation in today's business landscape. As companies transition to a service-oriented model, the primary objective of developing efficient business processes that seamlessly combine disparate systems is increasingly attainable. Microsoft BizTalk Server facilitates this integration by enabling the connection of various software applications and allowing users to visually design and modify the process logic that leverages these applications. Additionally, it empowers information workers to oversee ongoing processes, engage with business partners, and carry out other essential tasks. The platform is also compatible with the latest Microsoft technologies, leveraging the .NET Framework for its foundation, while the development tools are integrated within Microsoft Visual Studio. For data management, BizTalk Server utilizes SQL Server to ensure efficient handling of information. Furthermore, it is designed to operate on 64-bit Windows Servers, thus capitalizing on the enhanced memory capacity and advantages afforded by modern hardware infrastructure. This capability not only optimizes performance but also ensures that businesses can scale their operations effectively.

Manage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders.

Bluefish is a robust text editor designed specifically for programmers and web developers, offering a wide array of tools for creating websites, scripts, and various coding languages. It accommodates numerous programming and markup languages, making it versatile for different coding needs. For a detailed look at its features, users can explore the overview, browse through screenshots, or download the editor directly. As an open-source project, Bluefish is distributed under the GNU GPL license, promoting free use and distribution. This multi-platform application is compatible with a variety of desktop operating systems such as Linux, FreeBSD, MacOS-X, Windows, OpenBSD, and Solaris. The latest version, Bluefish 2.2.12, is a minor maintenance update that introduces some new features, including a crucial fix for a crash that occurred during simple searches. Enhancements have also been made in Python 3 compatibility, and the detection of encoding in Python files has seen improvements. Additionally, the triple-click function now allows users to select entire lines easily, and on Mac OSX, Bluefish has been optimized to better handle new permission features. Furthermore, issues with displaying the correct language in the Bluefish user interface for certain languages on OSX have been resolved. With these updates, users can expect a smoother and more efficient coding experience.

Positron is an advanced, freely available integrated development environment designed specifically for data science, accommodating both Python and R within a single cohesive workflow. This platform empowers data specialists to transition smoothly from data exploration to production by providing interactive consoles, notebook integration, variable and plot management, as well as real-time app previews alongside the coding process, all without the need for intricate setup. The IDE comes equipped with AI-driven features such as the Positron Assistant and Databot agent, which aid users in code writing, refinement, and exploratory data analysis to expedite the development process. Additional offerings include a dedicated Data Explorer for inspecting dataframes, a connections pane for database management, and comprehensive support for notebooks, scripts, and visual dashboards, allowing users to effortlessly switch between R and Python. Furthermore, with integrated version control, support for extensions, and robust connectivity to other tools in the Posit Software ecosystem, Positron enhances the overall data science experience. Ultimately, this environment aims to streamline workflows and boost productivity for data professionals in their projects.

SOGo is a reliable and well-supported groupware server designed with an emphasis on scalability and adherence to open standards. Released under the GNU GPL/LGPL v2 and later, SOGo features an advanced AJAX-based web interface while accommodating various native clients by utilizing standard protocols like CalDAV, CardDAV, and GroupDAV, in addition to Microsoft ActiveSync. Acting as the crucial link within your infrastructure, SOGo provides users with a cohesive and comprehensive interface for accessing their data. Its effectiveness has been demonstrated in production settings that cater to thousands of users, ensuring robust performance and efficiency. Overall, SOGo enhances collaboration and information retrieval within organizations of any size.

Daft is an advanced framework designed for ETL, analytics, and machine learning/artificial intelligence at scale, providing an intuitive Python dataframe API that surpasses Spark in both performance and user-friendliness. It integrates seamlessly with your ML/AI infrastructure through efficient zero-copy connections to essential Python libraries like Pytorch and Ray, and it enables the allocation of GPUs for model execution. Operating on a lightweight multithreaded backend, Daft starts by running locally, but when the capabilities of your machine are exceeded, it effortlessly transitions to an out-of-core setup on a distributed cluster. Additionally, Daft supports User-Defined Functions (UDFs) in columns, enabling the execution of intricate expressions and operations on Python objects with the necessary flexibility for advanced ML/AI tasks. Its ability to scale and adapt makes it a versatile choice for data processing and analysis in various environments.

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps

The RAPIDS software library suite, designed on CUDA-X AI, empowers users to run comprehensive data science and analytics workflows entirely on GPUs. It utilizes NVIDIA® CUDA® primitives for optimizing low-level computations while providing user-friendly Python interfaces that leverage GPU parallelism and high-speed memory access. Additionally, RAPIDS emphasizes essential data preparation processes tailored for analytics and data science, featuring a familiar DataFrame API that seamlessly integrates with various machine learning algorithms to enhance pipeline efficiency without incurring the usual serialization overhead. Moreover, it supports multi-node and multi-GPU setups, enabling significantly faster processing and training on considerably larger datasets. By incorporating RAPIDS, you can enhance your Python data science workflows with minimal code modifications and without the need to learn any new tools. This approach not only streamlines the model iteration process but also facilitates more frequent deployments, ultimately leading to improved machine learning model accuracy. As a result, RAPIDS significantly transforms the landscape of data science, making it more efficient and accessible.

Appsilon specializes in cutting-edge data analytics, machine learning, and managed service solutions tailored for Fortune 500 companies, non-governmental organizations, and non-profits. We excel in creating the most sophisticated R Shiny applications, enabling us to efficiently develop and expand enterprise-level Shiny dashboards. Our custom machine learning frameworks empower us to deliver prototypes for Computer Vision, Natural Language Processing, and fraud detection in just a week. Above all, our mission is to make a meaningful difference in the world. Through our AI For Good Initiative, we actively apply our expertise to initiatives that enhance human safety and support the conservation of wildlife across the globe. Recently, our efforts have included using computer vision to combat poaching in Africa, conducting satellite image analyses to evaluate damage from natural disasters, and developing tools for assessing COVID-19 risks. Additionally, Appsilon takes pride in being at the forefront of open-source innovation, fostering collaboration and transparency in technology development. Our commitment to these values positions us as leaders in both ethical practices and technological advancements.

SAS® Viya® offers a robust and scalable analytics platform that is both efficient and easy to implement, allowing organizations to address a variety of business challenges. The insights generated automatically help in pinpointing the most frequently used variables across all models, highlighting key variables selected along with evaluation outcomes for each model. With the integration of natural language generation, project summaries are produced in straightforward language, which simplifies the interpretation of reports for users. Moreover, members of the analytics team can enhance the insights report with project notes, promoting better communication and teamwork. SAS further enables the integration of open source code within analyses, allowing users to utilize open source algorithms effortlessly in its platform. This flexibility encourages collaboration throughout your organization, as users are free to program in their preferred language. Additionally, you can leverage SAS Deep Learning with Python (DLPy), an open-source package available on GitHub, to expand your analytical capabilities even further. By using these tools, businesses can significantly enhance their data-driven decision-making processes.

The Jupyter Notebook is a web-based open-source tool that enables users to create and distribute documents featuring live code, visualizations, equations, and written explanations. Its applications are diverse and encompass tasks such as data cleaning and transformation, statistical modeling, numerical simulations, data visualization, machine learning, among others, showcasing its versatility in various fields. Additionally, it serves as an excellent platform for collaboration and sharing insights within the data science community.

SentiSight SDK is an intricate application tailored for developers focused on building applications that utilize computer vision for object recognition tasks. This toolkit facilitates both manual and fully automated learning of objects, enabling users to search for recognized objects in images captured by various devices such as cameras, webcams, still images, or live video streams, all in a straightforward yet adaptable manner. SentiSight is offered as a software development kit specifically for creating object recognition systems that are compatible with Microsoft Windows environments. To utilize the SDK, users must meet certain system prerequisites: they need either an x86 (32-bit) or x86-64 (64-bit) processor, SSE2 support (with SSSE3 support being advisable), a minimum of 256 MB of available RAM, a webcam, the Microsoft .NET framework version 2.0 or later (for .NET component integration), Microsoft DirectX 9.0 or a later version (for webcam functionality), and Microsoft Visual Studio 2005 SP1 or a more recent version (to develop applications using C/C++, C#, or Visual Basic .NET). Additionally, it's important for users to note the limitations of the unregistered version, which is available for a trial period of 30 days. By adhering to these requirements, developers can effectively leverage the capabilities of SentiSight to enhance their applications with robust object recognition features.

Since its inception in 2001, OGRE has evolved into one of the most widely-used open-source graphics rendering engines, finding application across a variety of production projects, including but not limited to games, simulators, educational tools, interactive art, and scientific visualization. It is compatible with a range of operating systems such as Windows (all major versions), Linux, OSX, Android, iOS, Javascript (via Emscripten), Windows Phone (with support from Microsoft), and WinRT, while also being ported to the PS3 and Xbox 360 for various titles. OGRE is distributed under the MIT License, which allows for substantial freedom in use, provided that the license text is included when distributing any software that incorporates OGRE. To facilitate learning, OGRE offers a collection of introductory tutorials, alongside the comprehensive OGRE Manual and API documentation supplied by the development team. This makes it easier for new users to get started and for experienced developers to deepen their understanding of the engine's capabilities. With its robust support and extensive resources, OGRE continues to attract a diverse community of developers eager to create innovative applications.

At DynamicsPrint®, we understand the intricate dynamics of the printing and packaging industry and recognize the need for a comprehensive solution to propel businesses forward. Our ERP software system is meticulously crafted to empower your print-centric enterprise with efficiency, agility, and innovation. A common theme in the feedback we receive from our partners is a boost in efficiency and productivity, with employees being able to reduce the time and effort spent completing common tasks of up to 50%. Organizations also report higher quality work, helped by insights and guidance, from suggested actions to faster access to valuable business data. We design and customize DynamicsPrint® to ensure the system meets the highest standards of efficiency and stability. We are also renowned for our strong dedication to implementation and optimization. With 30 years of experience, we deliver an ongoing partnership that extends well beyond the launch of a software program. Leverage the latest in technology from cloud-based solutions, AI-driven insights, and IoT integration, positioning your printing or packaging business at the forefront of technological advancement.

Consistently develop, evaluate, launch, and oversee applications across all platforms. Integrate with repositories such as GitHub, Bitbucket, GitLab, or Azure DevOps, enabling cloud-based builds with every code commit. Seamlessly execute unit tests, distribute to testers and stores, or assess your user interface on actual devices. Utilize a feature branch for building and testing, a beta branch for tester distribution, and the master branch for App Store submission. Tailor the process to suit your team's unique workflow requirements. After implementing changes, are you certain your application still functions correctly? How does it perform on a legacy device like the LG G2? Discover the answers by utilizing a hosted device lab that offers access to thousands of genuine iOS and Android devices for comprehensive testing. You'll obtain detailed test results, high-resolution screenshots from each stage of the process, as well as performance analytics. Furthermore, regardless of whether you choose private distribution, public open betas, or platforms like Microsoft Intune, TestFlight, Google Play, or the App Store, App Center ensures that launching your application is a seamless and enjoyable experience. With its robust features, you can confidently focus on enhancing your app's functionality and user experience.

CodeLite is a free and open-source Integrated Development Environment (IDE) that operates across various platforms and is primarily aimed at developers working with C, C++, PHP, and JavaScript. This IDE provides a lightweight and customizable workspace, accommodating multiple compilers such as GCC, Clang, and Microsoft Visual C++. It boasts a user-friendly code editor equipped with features like syntax highlighting, auto-completion, and code refactoring tools. In addition, CodeLite comes with a built-in debugger that supports GDB, allowing users to easily set breakpoints, examine variables, and follow call stacks during debugging sessions. Furthermore, it extends its capabilities to include support for Node.js and TypeScript, enhancing its utility for both desktop and web application development. The versatility and cross-platform functionality (available on Windows, macOS, and Linux) combined with its integration with popular version control systems such as Git and Subversion solidify CodeLite as a preferred choice for developers in search of a streamlined alternative to more demanding IDEs. By prioritizing efficiency and user adaptability, CodeLite has carved out a significant niche in the development community.

The ISS Construction Manager serves as a comprehensive accounting and job management solution, accommodating multiple companies and divisions (departments) seamlessly. This software can function effectively on either a standalone computer or within a networked setting. The latest iteration, Version 6, operates on the SQL Server Platform, although its use isn't mandatory. This version introduces the Microsoft Data Engine (MSDE), which is a simplified edition of SQL Server tailored for single-user setups or small networks accommodating up to five concurrent users. For those requiring a robust networking configuration, this design offers an effortless transition to SQL Server, as ISS Construction Manager is compatible with SQL Server without necessitating any adjustments. By integrating such flexibility, users can ensure their accounting needs are met regardless of their system requirements.

Visual Studio by Microsoft is a complete ecosystem for professional developers, combining robust coding environments, integrated AI capabilities, and advanced collaboration tools. The flagship Visual Studio 2022 IDE delivers an all-in-one workspace with compilers, debuggers, designers, and performance profilers for .NET, C++, C#, and Azure development. Meanwhile, Visual Studio Code (VS Code) offers a lightweight yet powerful editor that runs on Windows, macOS, and Linux, ideal for web, JavaScript, Python, and container-based workflows. With GitHub Copilot integration, developers receive intelligent code completions, automated refactoring, and natural language explanations of complex logic. Agent Mode introduces an AI-driven assistant that can edit across files, execute builds, and resolve compile or test errors autonomously. Built-in tools like unit test generators, CI-aware policy enforcement, and style validation help ensure clean, testable, and secure code. Thousands of extensions from the Visual Studio Marketplace expand functionality for database, cloud, and DevOps workflows. Together, these platforms redefine productivity, helping teams code smarter and deliver innovation faster.

InstallShield from Revenera allows you to create native MSIX packages and clean installs. You can also build cloud installations with InstallShield. Reliable and consistent installations. Every time. InstallShield allows you to quickly adapt to industry changes, get to market quicker, and provide a memorable customer experience. Revenera InstallShield, formerly Flexera InstallShield, is the fastest and easiest way to create Windows installers and MSIX package and create installations within Microsoft Visual Studio. Configure Windows Server 2022 and Windows 11 install conditions. Install files to native ARM locations for Windows 10 running on ARM computers. Connect to Revenera's Cloud License Server to easily move your build infrastructure into the cloud. One-click installers that are modern and easy to use. Configure prerequisites to install third party packages using Microsoft's Windows Package Manager.

TheTestMart offers an AI-enhanced automated testing solution for Dynamics 365, as recommended by Microsoft, that streamlines every aspect of ERP validation. Featuring a Smart Recorder and AI capabilities, it allows for the seamless generation of robust test scripts while effortlessly converting existing RSAT tests, and its maintenance engine ensures scripts are updated to stay in sync with new Dynamics 365 releases. The TestMart team takes full responsibility for executing tests, allowing users to simply schedule their runs, which significantly reduces testing time by up to 90%. After each run, comprehensive reporting and remediation support are provided, identifying failures across various Dynamics modules, ISV solutions, integrations, and customizations, enabling teams to quickly resolve issues and rerun only the impacted scripts. Additionally, prebuilt libraries encompass Dynamics 365 Finance, Supply Chain Management, Commerce, and Sales, delivering immediate coverage for a multitude of test cases, thus enhancing overall testing efficiency and effectiveness. This comprehensive approach not only saves time but also ensures greater accuracy and reliability in ERP validation processes.

statistiXL is an advanced data analysis tool that functions as an add-in for Microsoft Excel on Windows platforms. Designed and developed by scientists, it caters to the rigorous demands of users seeking a comprehensive and adaptable statistical analysis solution that is both user-friendly and quick to master. You can now focus on obtaining results rather than spending excessive time deciphering manuals to conduct necessary analyses. Excel’s extensive features create a perfect platform for data entry, processing, and computation. By utilizing this familiar interface, statistiXL significantly enhances the capabilities of Excel to include sophisticated statistical analysis, eliminating the need to learn a completely new software application. This integration not only saves time but also maximizes efficiency, making it an invaluable resource for researchers and analysts alike.

Microsoft Graph serves as the essential link for organizations to access Microsoft 365 data, focusing on productivity, identity, and security. The Microsoft Graph Data Connect feature allows developers to securely and efficiently transfer selected Microsoft 365 datasets into Azure data stores. This functionality is particularly beneficial for training machine learning and AI models that can derive valuable insights for enhanced analytics solutions. Developers can easily copy large volumes of data from a Microsoft 365 tenant directly into Azure Data Factory without needing to write any code. This streamlined process ensures that organizations can obtain the required data, delivered to their applications on a regular schedule, with just a few straightforward steps. Furthermore, the Microsoft Graph Data Connect includes a granular consent model that empowers organizations to manage how their data is accessed. This model mandates that developers clearly define the specific data types or content filters their applications will utilize. Additionally, administrators are required to provide explicit consent before any access to Microsoft 365 data is permitted, ensuring a secure and controlled environment for data handling. In this way, organizations can effectively leverage their data while maintaining strict oversight and compliance.

Quadratic empowers your team to collaborate on data analysis, resulting in quicker outcomes. While you may already be familiar with spreadsheet usage, the capabilities offered by Quadratic are unprecedented. It fluently integrates Formulas and Python, with SQL and JavaScript support on the horizon. Utilize the programming languages that you and your colleagues are comfortable with. Unlike single-line formulas that can be difficult to decipher, Quadratic allows you to elaborate your formulas across multiple lines for clarity. The platform conveniently includes support for Python libraries, enabling you to incorporate the latest open-source tools seamlessly into your spreadsheets. The last executed code is automatically returned to the spreadsheet, and it accommodates raw values, 1/2D arrays, and Pandas DataFrames as standard. You can effortlessly retrieve data from an external API, with automatic updates reflected in Quadratic's cells. The interface allows for smooth navigation, permitting you to zoom out for an overview or zoom in to examine specifics. You can organize and traverse your data in a manner that aligns with your thought process, rather than conforming to the constraints imposed by traditional tools. This flexibility enhances not only productivity but also fosters a more intuitive approach to data management.