Alternatives to Thinkmap

Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size. Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science. Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.

FusionCharts is a leading data visualization tool that helps developers create interactive and responsive charts for web and mobile applications. With 100+ chart types including line, bar, area, pie charts, and 2000+ maps, it enables users to visualize complex data sets and make informed decisions. The library is built on JavaScript and can be easily integrated with popular frameworks such as AngularJS, React, and Vue.js. Its user-friendly API and comprehensive documentation make it accessible to developers of all skill levels. Additionally, the library offers a wide range of features such as real-time updates and cross-browser compatibility. It also has a wide range of customization options, allowing users to tailor charts to their specific needs. With over a decade of development and updates, FusionCharts is a reliable and robust choice for data visualization and is trusted by thousands of businesses and organizations worldwide.

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application. Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house. Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience. Qrvey's solution offers: - Built-in data lake powered by Elasticsearch - A unified data pipeline to ingest and analyze any type of data - The most embedded components - all JS, no iFrames - Fully personalizable to offer personalized experiences to users With Qrvey, you can build less software and deliver more value.

D3.js is a powerful JavaScript library designed for the dynamic manipulation of documents through data. By leveraging HTML, SVG, and CSS, D3 enables the transformation of data into engaging visual representations. Its focus on web standards allows developers to utilize the advanced features of modern web browsers without being restricted by a proprietary framework, merging robust visualization tools with a data-centric approach to DOM manipulation. With D3, users can associate any type of data with a Document Object Model (DOM) and perform data-driven alterations to that document. For instance, D3 can create an HTML table from a list of numbers or transform the same data into an interactive SVG bar chart that features smooth transitions and user engagement. Rather than being an all-encompassing framework that attempts to include every possible feature, D3 addresses the core challenge of effectively manipulating documents based on data. This strategy not only circumvents proprietary limitations but also provides remarkable flexibility, unlocking the full potential of web standards like HTML, SVG, and CSS. As a result, D3 becomes a versatile tool for developers seeking to create rich, interactive data visualizations that can adapt to a variety of use cases.

JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.

IBM Cognos Dashboard Embedded is a solution driven by APIs that enables developers to seamlessly integrate comprehensive data visualization features into their applications. This tool allows for the inclusion of an easy-to-use, drag-and-drop visualization interface, empowering end-users to investigate data and generate visual representations that address the specific inquiries relevant to their business needs. By leveraging JavaScript APIs, IBM Cognos Dashboard Embedded facilitates a swift and effective embedding process for visualizations within applications. Additionally, this powerful tool is currently accessible through the IBM Cloud Catalog, providing users the opportunity to sign up for a complimentary trial and begin their journey today. With its user-friendly design and robust functionality, it stands out as an invaluable resource for developers seeking to enhance their applications with sophisticated data insights.

Create revolutionary graph visualization solutions that transform interconnected data into valuable insights. Utilize the versatility and strength of JavaScript to swiftly develop graph visualization applications that are accessible to anyone, anywhere. KeyLines offers a fully adaptable approach to constructing your graph visualization application. Design interactive tools that uncover hidden insights and potential threats. The KeyLines JavaScript toolkit allows you to tailor applications to meet the needs of your users, handle your specific data, and address the critical questions at hand. It is compatible with all browsers, devices, servers, and databases, and is supported by comprehensive tutorials, demonstrations, and detailed API documentation. With our dedicated developer support, you will be able to reveal network insights efficiently. KeyLines simplifies the process of creating high-performance JavaScript graph visualization tools that operate seamlessly across various platforms. By leveraging HTML5 and WebGL for graphics rendering alongside meticulously designed code, users will enjoy rapid and meaningful visual representation of their data. Additionally, these tools empower users to make informed decisions based on the insights they uncover.

Superset is an efficient, user-friendly platform brimming with features that simplify the process of data exploration and visualization for individuals across various skill levels, enabling everything from basic line graphs to intricate geospatial representations. It has the capability to link to any SQL-compatible data source via SQLAlchemy, accommodating contemporary cloud-native databases and engines that handle massive petabyte-scale data. Additionally, Superset's lightweight nature and scalability allow it to utilize your current data infrastructure effectively, eliminating the need for another layer of data ingestion. This makes it an ideal choice for organizations seeking to maximize their data analytics capabilities seamlessly.

AnyGrids is an open-source JavaScript grid library that seamlessly integrates charts for the effective visualization of business data. Utilizing AnyGrid's core library, users can effortlessly generate interactive tables from various data formats such as JavaScript arrays, JSON, and AJAX sources. The library can be included in your project either via a script tag or by installing it as an npm package, allowing you to get started without the need for further modifications. AnyGrid provides functionalities like sorting, filtering, and grouping of data, and also features expandable table rows with customizable data rendering. Users can enhance their visualizations with different types of sparklines, utilize pre-packaged themes, perform column calculations, and manage pagination with ease. This versatility makes AnyGrids a valuable tool for developers looking to present data dynamically and effectively.

WebDataRocks is a user-friendly and free JavaScript library designed for the creation of efficient pivot tables, compatible with frameworks such as Angular, Vue, and React. It boasts several advantages, including being free of charge and highly customizable, as well as functioning as a JavaScript-based client-side component that can handle 1MB of JSON or CSV data files. Equipped with a comprehensive array of enterprise-level features, WebDataRocks seamlessly integrates with various third-party charting libraries to enhance data visualization capabilities. The library includes functionalities like filtering, sorting, grouping, conditional and number formatting, and calculated values, making it an effective tool for managing and analyzing data. Additionally, users can easily print or export their reports to formats like PDF, Excel, or HTML with just a single click, which streamlines the reporting process significantly. Offering a modern and aesthetically pleasing user interface similar to a spreadsheet, the tool is optimized for both web browsers and applications, ensuring a reliable and enjoyable user experience while working with data.

Recognized worldwide for excellence, AnyChart is an award-winning JavaScript (HTML5) library that empowers teams to transform raw data into engaging visual experiences. Built to serve the needs of both developers and businesses, it provides a complete toolkit for creating interactive charts, maps, and dashboards that perform reliably across web, mobile, and desktop environments. With a robust set of over 90 chart types — including Gantt, stock, geospatial, bar, and line — AnyChart makes it easy to turn complex information into clear, actionable insights. Its seamless integration with any technology stack and compatibility with diverse data sources make it ideal for enhancing reports, powering embedded analytics in SaaS platforms, or supporting enterprise-grade systems. Fully customizable, responsive, and continuously evolving with new features, AnyChart delivers simplicity, flexibility, and fast, high-quality results. Trusted by more than 75% of Fortune 500 companies and thousands of developers all over the world, it is the proven choice for advanced data visualization. Get started with AnyChart JS Charts today!

InDriver: The Multifunctional Automation engine powered by JavaScript allows for simultaneous task execution. InStudio: GUI application for remote InDriver Configuration across multiple computers. With minimal JS code, and a few mouse clicks, you can easily transform setups into tailored solution. Key Applications Data Automation and Integration Engine Conduct Extract-Transform-Load (ETL) operations effortlessly. Access to RESTful API Resources is streamlined, with simplified request definition, interval settings, JSON data processing and database logins. Industrial Automation Engine Interfacing seamless with PLCs and sensors. Create control algorithms, read/write data and process data to SCADA, MES and other systems. Database Automation Schedule queries to run at specific intervals or on specific events. This will ensure continuous automation.

Basedash offers an AI-powered interface designed for visualizing, editing, and exploring your data seamlessly. Tailored for collaborative teams, Basedash enables effortless sharing of insights, allowing you to enhance customer experiences and expand your product offerings without the need for extensive development work. You can modify data, generate records, and monitor your product's performance without having to create or maintain specialized software solutions. Essentially, Basedash acts as a personalized CRM that efficiently tracks, analyzes, and engages with your product's users. It provides an immediate user interface for data management tasks like editing, reading, updating, and deleting information. Say goodbye to the hassle of building yet another internal tool; instead, you can easily generate charts and create collaborative spaces for your team to align on shared objectives and metrics. Additionally, you can create gallery views to display images stored in your database, making media more accessible. No coding or JavaScript knowledge is required, as Basedash is designed to highlight your media and streamline image retrieval. Moreover, you can invite any team member to access and modify your database, ensuring they can navigate it with the ease and familiarity of a spreadsheet interface, fostering a more productive working environment.

Discover fresh perspectives, respond to a myriad of inquiries, and enhance your decision-making capabilities. With the simplicity of initiating your next project at the click of a button, no question will slip through your fingers. You can commence by forking any project from your colleagues or tapping into Observable’s extensive community of visualization and analysis professionals. Integrate some of Observable’s visualization tools and UI elements, or incorporate custom code utilizing any JavaScript library of your choice. The creative possibilities are limitless; construct projects in the way that suits you best. Engage in discussions by leaving comments and proposing edits, or dive into spontaneous live coding sessions with your colleagues. Gain insights from experts in our community forum. While viewers have the ability to access a private notebook shared with them, they cannot alter it. Editors, however, can make modifications, collaborate on the notebook, and manage its access. Nonetheless, viewers have the option to fork a notebook and create their own editable version. Additionally, you can export your code as native JavaScript modules, allowing them to function seamlessly anywhere with the open-source Observable runtime, thus broadening your project’s reach and versatility.

JavaScript Charting Library with 10x faster performance and a simple API. Our JS Charts can be easily integrated with popular Frameworks such as Vue, Angular, and React. The library includes 30+ chart types, including line, column and bar, area, pie and doughnut, stacked, and others. Graphs can be easily integrated with many server-side technologies such as PHP, Ruby, Python and ASP.Net. It can render thousands of data points with no performance lag. CanvasJS supports 30 types of Charts and renders across all devices, including iPhone, iPad Android, Mac, Mac, and PCs. This allows you create rich dashboards that can be used across multiple devices without compromising the functionality or maintainability of your web app.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

Create innovative React graph visualization tools that transform interconnected data into valuable insights. With ReGraph’s user-friendly data-driven API, you can seamlessly incorporate graph visualizations into your React applications in no time. Deliver tailored, high-performance graph visualizations to your users, no matter where they are located. For React developers, ReGraph provides a straightforward and organized coding experience, featuring familiar logic, straightforward state management, and thorough documentation for its props. You have the freedom to determine where your data is hosted and how your components will look and function. This solution is compatible across all browsers and devices, effortlessly integrating with any server or database. It offers a completely adaptable approach to constructing a custom React graph visualization application. ReGraph simplifies the process of developing robust React graph visualization applications, with every aspect meticulously optimized for peak performance, including its layout algorithms and an advanced graphics rendering engine. This flexibility empowers developers to create unique visual experiences tailored to their specific needs.

amCharts is a set of JavaScript libraries and tools for all your data visualization needs on the web. amCharts Charts supports classic charts like Line, Area, Column, Bar, Pie, XY, Scatter, Candlestick, Radar, Polar, and OHLC as well as more “exotic” ones like Gauges, Funnels, Gantt, Chord and Sankey diagrams, Force-Directed Trees, TreeMap, Sunburst Chart and more. amCharts Maps offers fully interactive adaptive world or local country maps and map charts. Additionally, amCharts provides a specialized Stock Chart tailored for visualization and analysis of stock and other time-based data. All products are available for free (with a small backlink) for any type of use, as well as in paid commercial form covering all kinds of usage scenarios.

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

Graphy is a data visualization tool that leverages AI to facilitate the easy creation of high-quality graphs and charts. This platform empowers users to convert intricate data sets into valuable insights via a user-friendly interface that requires minimal learning effort. Key features include AI-driven insights, smooth integration with applications like Google Sheets, and the option to incorporate visuals into popular tools such as Notion, Canva, and Slack, which enhances the efficiency of data presentation and communication. Additionally, Graphy offers robust storytelling functionalities, featuring visual annotations and one-click enhancements such as goals and trend lines. These capabilities position Graphy as an indispensable resource for data-focused teams looking to make swift and informed decisions, ultimately boosting overall productivity and collaboration. Furthermore, its adaptability across various platforms ensures that users can consistently deliver impactful visualizations.

ParaView is a versatile, open-source application designed for data analysis and visualization across multiple platforms, allowing users to create visual representations for both qualitative and quantitative data analysis. It features interactive 3D exploration capabilities alongside programmatic data processing through its batch processing functionality. Engineered to manage extremely large datasets, ParaView leverages distributed memory computing resources, making it ideal for use on supercomputers that process terascale data as well as on laptops for smaller datasets. The application is built with a client-server architecture, enabling remote visualization of data while generating level-of-detail models to ensure smooth interactive performance even with extensive data. Its extensible framework is grounded in open standards, promoting customization and integration with existing tools and workflows. ParaView supports a wide array of well-known file formats and boasts over 200 filters and tools for effective data processing and visualization. This extensive feature set allows users to tailor their analysis experiences to meet specific needs and enhances collaboration in data-intensive projects.

Datapine's dashboard and business intelligence software allows users to quickly turn data into actionable insights, and make data-driven decisions. Managers and data scientists can visualize and analyze complex data using a drag-and-drop interface. They can also ask important business questions and receive answers right away. It provides a wealth of innovative analytics features, including predictive analytics and interactive dashboards that allow for the creation of KPI-driven business dashboards. There are dozens of data connectors that connect to any common data source (databases and flat files, social media marketing analytics, CRM, ERP etc.). A wealth of pre-built dashboard templates for different business functions (marketing and sales management, HR, etc.) ), industries (retail and logistics, healthcare, market study, etc. Platforms (Google Analytics, Facebook and Twitter, Zendesk, etc. assist new users to get started quickly.

Altair Panopticon Streaming Analytics allows engineers and business users to create, modify, and deploy advanced event processing and data visualization apps with a drag and drop interface. They can connect to any data source, including streaming feeds and time-series database, and develop stream processing programs. They can also design visual user interfaces to give them the perspective they need to make informed decisions based upon large amounts of rapidly changing data.

Software tools and libraries designed to enhance the efficiency, robustness, and quality of your applications are essential for developers. These resources are tailored for optimal performance and feature a user-friendly graphical interface to streamline the development process. They focus on GPU-accelerated image processing, general processing tasks, and display capabilities, along with providing a comprehensive application programming interface to integrate seamlessly with your project. With these tools, you can add visualization and control elements to your embedded applications in mere minutes, regardless of your prior GUI experience. They serve as invaluable assets for uncovering the intricacies of application performance and ensuring consistent behavior. Simplified inter-thread communication enhances overall responsiveness, while the associated graphical user interface aids in crafting the application framework and tracking performance metrics. You can manage how your application interfaces with hardware components and gain real-time insights into the utilization of hardware resources. Additionally, these tools support efficient point-to-point data movement and message passing, making the application development journey more intuitive and efficient. Overall, leveraging these resources will significantly elevate the capabilities of your software projects.

Seaborn is a versatile data visualization library for Python that builds upon matplotlib. It offers a user-friendly interface for creating visually appealing and insightful statistical graphics. To gain a foundational understanding of the library's concepts, you can explore the introductory notes or relevant academic papers. For installation instructions, check out the dedicated page that guides you on how to download and set up the package. You can also explore the example gallery to discover various visualizations you can create with Seaborn, and further your knowledge by diving into the tutorials or API reference for detailed guidance. If you wish to examine the source code or report any issues, the GitHub repository is the place to go. Additionally, for general inquiries and community support, StackOverflow features a specific section for Seaborn discussions. Engaging with these resources will enhance your ability to effectively use the library.

Conventional data analytics tools often present information in a static, tabular format, which can overlook the dynamic nature of intricate data interconnections. By bridging the gaps between varied data sources, Gemini Data empowers organizations to convert their data into compelling narratives. With Gemini Explore, users can revolutionize their approach to data analytics by engaging with information through intuitive, contextual storytelling. The focus is on streamlining the process to enhance visibility, comprehension, and communication of complex concepts, enabling quicker learning and improved job performance. Additionally, Gemini Stream facilitates the effortless collection, reduction, transformation, parsing, and routing of machine data across various leading Big Data platforms, all through a unified interface. Meanwhile, Gemini Central offers a cutting-edge, ready-to-use analytics solution, featuring seamless integration and pre-configuration with a streamlined operating system, alongside essential management tools and applications, ensuring a comprehensive approach to data analysis. This holistic suite of tools ultimately enhances organizational efficiency and decision-making capabilities.

Make informed decisions by efficiently testing and modeling intricate business assumptions, whether in the cloud or on-premises. Oracle Essbase empowers organizations to swiftly extract insights from multidimensional datasets through what-if analyses and data visualization tools. Forecasting both company and departmental performance becomes a straightforward task, enabling the development and management of analytic applications that leverage business drivers to simulate various what-if scenarios. Users can oversee workflows for multiple scenarios all within a unified interface, simplifying submissions and approvals. The sandboxing features allow for rapid testing and evaluation of models, ensuring the best-suited model is chosen for production. Additionally, financial and business analysts benefit from over 100 ready-to-use mathematical functions that can be effortlessly implemented to generate new data insights. This comprehensive approach enhances the strategic capabilities of organizations, ultimately driving better performance outcomes.

StatPlanet Cloud is the next generation of our award-winning StatPlanet visualization/mapping software. It gives you unprecedented insight into your data. StatPlanet Cloud is cross-platform (HTML5/JavaScript-based). It can be accessed via a web browser from any device, including a tablet, a Mac, a mobile phone, or a PC. StatPlanet Cloud can quickly transform a spreadsheet into an interactive dashboard. The intuitive interface allows even novice users to instantly explore interactive graphs and maps and filter down to specific indicators and areas of interest. It also comes with an Excel-based, open-source Data Manager. This can be used to import and consolidate a wide variety of data in over 60 countries. It is simple to create your first dashboard. If your data is in spreadsheet format it can be automatically imported into StatPlanet and visualized. StatPlanet supports SDMX, an international standard for data interchange.

A platform for Machine Learning and Predictive Analytics enhances data-driven decision-making and propels business growth through sophisticated artificial intelligence within an integrated machine learning and big data analytics framework. OpenText Magellan leverages AI technologies to deliver predictive analytics through user-friendly and adaptable data visualizations that enhance the utility of business intelligence. The implementation of artificial intelligence software streamlines the big data processing task, providing essential business insights in a format that aligns with the organization’s most significant goals. By enriching business operations with a tailored combination of features such as predictive modeling, data exploration tools, data mining methods, and IoT data analytics, companies can effectively utilize their data to refine their decision-making processes based on actionable business intelligence and analytics. This comprehensive approach not only improves operational efficiency but also fosters a culture of data-driven innovation within the organization.

WebFOCUS by ibi is an all-encompassing analytics and business intelligence platform that enables organizations to leverage insights derived from data for strategic decision-making. It includes a variety of tools that allow users to explore, generate, analyze, publish, and collaborate on analytic content, meeting the needs of data scientists, developers, business analysts, and system administrators alike. The platform facilitates the creation of complex reports, dashboards, and visualizations, which can be easily shared and distributed throughout the organization. Built with scalability in mind, WebFOCUS is adaptable for deployment on-premises, in the cloud, or within hybrid settings, offering the flexibility to suit various organizational requirements. Its cloud-native design ensures streamlined deployment and management, while its integration capabilities enable connections to multiple data sources, fostering a cohesive data strategy. Additionally, WebFOCUS integrates AI and data science features, including the ability to conduct natural language queries, enhancing its usability and accessibility for all users. With its comprehensive features, the platform becomes an invaluable asset for organizations aiming to drive data-centric initiatives.

Software that integrates all elements into one cohesive system. Let’s redefine the way we approach work. Our advanced HTML5 charts, used by millions across the globe, empower users at every level with a significant advantage. Featuring cutting-edge integrations—from external applications to educational tools and in-depth analysis—these charts enhance workflows and introduce a more efficient method of working. Transform the traditional charting experience into personalized data visualizations that clearly communicate and engage users with actionable, trade-ready information. Our offerings breathe life into intricate data sets across various finance sectors. Explore sample applications below. Pre-Trade Analytics. Active Trader, along with Trade from Chart, serves as a specialized toolkit designed to enhance our high-performance, time series charts. Capture and maintain the interest of active traders with a comprehensive platform that excels beyond the competition. Post-Trade Analytics. Experience genuine order transparency with ChartIQ, providing insights into trading performance and outcomes. This innovative approach not only improves understanding but also fosters informed decision-making.

ChartAI stands out as the pioneering AI-powered diagramming tool designed to assist professionals in crafting diagrams and charts in just two seconds using artificial intelligence. By simply providing your diagram specifications, ChartAI takes over, delivering polished diagrams or charts in minutes that are ready for immediate use. This quick generation of visuals enables users to concentrate on analysis and presentation rather than the creation process itself. Its user-friendly interface caters to both beginners and seasoned professionals, ensuring accessibility for everyone. The application produces aesthetically pleasing diagrams that fit a variety of business applications. It accommodates multiple diagram styles, such as flowcharts, organizational charts, and data visualizations, making it versatile for different needs. Additionally, users have the capability to create synthetic datasets intended for testing and development, enhancing the application's utility. Furthermore, logging in with a Google account streamlines the process of accessing and managing your ChartAI account and its associated data, providing convenience and efficiency for all users.

With built-in intelligence, you can turn your customers into success stories. This includes dashboards, state-of-the art analytics and dashboards. BoldBI is a platform that was built from the ground up to be embedded. There are no compromises or shortcuts. Your application will be more complicated if you don't meet outdated requirements like "bring all of your data into our cube or data store." You can design complex systems for data integration, but you need to keep the embedded BI database store in synch with your data sources. Bold BI allows you to connect directly with hundreds of data sources as well as any data warehouse of choice. If you have a shared model, deploy single-tenant mode. Multi-tenant mode is best for isolated data models. This allows you to keep a single source of dashboards and publish to multiple tenants. Bold BI can be used in both common and unusual scenarios. Use JavaScript APIs to embed Bold BI directly into your application code.

Envision extensive arrays of data objects, grasp their interconnections, and refine associated data extractions to formulate ideal test datasets. Analyze files, even those located on various LPARs, enhancing the capability to swiftly and regularly evaluate the consequences of your modifications. Streamline the intricate process of data management and preparation for testing by empowering developers and test engineers to carry out data-related activities without the necessity of coding programs or scripts, writing SQL, or employing numerous tools. Foster independence among developers, test engineers, and analysts by providing data on demand, thereby minimizing dependency on subject matter experts. Elevate the quality of applications through enhanced testing scenarios, making it easier to generate comprehensive data extracts for testing purposes while accurately pinpointing the effects of altering specific data elements. As a result, the overall efficiency of the testing process is significantly improved, leading to more robust software development.

Visual Studio 6 allows you to create a fully functional spreadsheet application. Fully functional OCX spreadsheet for ActiveX and COM development. Export and import your Microsoft Excel files. Run-time visual template designer. Spread comes with a comprehensive calculation engine that includes over 100 functions to support formulas. Spread allows you to easily add your own functions. To refer to formulas, you can also use relative cell addressing or named expressions. Spread allows you to control the printing process with options such page ranges and data ranges as well as headers and footers, margins and orientation, grid lines and colors. Spread supports advanced scaling options to adapt the page's content and APIs to meet custom printing needs. You can preview the printed spreadsheet with the included print preview control. You have several options to control how your customer will view the data. These options include the number of pages that will appear on the screen and zooming options.

Unlock and disseminate unparalleled insights about your enterprise using SAP Lumira. This robust analytics and data visualization tool leverages self-service Business Intelligence (BI) alongside visual representations, interactive dashboards, and analytical applications, enabling organizations to better interpret their data. SAP Lumira comes in four distinct versions: Standard, Discovery, Designer, and Server. Each edition is tailored to meet diverse business needs, ensuring that users can select the best fit for their analytical requirements.

Stata is a comprehensive, integrated software package that can handle all aspects of data science: data manipulation, visualization and statistics, as well as automated reporting. 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.

Transforming intricate data networks into understandable insights is what Dtangle excels at. By utilizing groundbreaking open-source technology developed by CERN and AI support, Dtangle simplifies complex data environments into clear, actionable insights. Our innovative solutions enable users to navigate through data with remarkable accuracy, distinguishing crucial information from excess noise. Additionally, Dtangle’s visual analytics tools allow for exploration of data from various perspectives, ensuring that you consistently access significant data threads. Even the most convoluted data systems are rendered comprehensible, as we convert complexity into visuals that convey clarity effectively. At Dtangle, we offer sophisticated visual tools designed to assist businesses in interpreting their data patterns. Our intuitive interfaces empower individuals without extensive data expertise to extract meaningful insights. By elevating data analysis to unprecedented heights, Dtangle enables users to move beyond conventional data and network analysis, fully capitalizing on the capabilities of data science. This approach not only enhances understanding but also drives informed decision-making in an increasingly data-driven world.

Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.

conDati uses machine learning and data science to develop out-of-the box solutions that transform large volumes of transaction, customer, and event data into usable insights and information. ConDati allows you to quickly visualize the performance of your campaigns, from the summary level to individual campaigns. conDati combines all your marketing data to create a single data asset that can be used to create dashboards and models across all channels. For every campaign, revenue, cost, and metrics data (Sends. Opens. Impressions. Clicks. Transactions ...)) are available by the minute, hour, and day. The YTD results are combined with the Model Forecast for each month to give a continuously updated Forecast for Revenue, Costs, and other metrics.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.

Access, analyze, and manipulate data to uncover emerging trends and patterns effectively. SAS Visual Data Science provides a unified, self-service platform that enables the creation and sharing of intelligent visualizations alongside interactive reports. Leveraging machine learning, text analytics, and econometric techniques enhances forecasting and optimization capabilities, while also allowing for the management and registration of both SAS and open-source models, whether within projects or as independent entities. Utilize this tool to visualize and identify pertinent relationships within your data. Generate and disseminate interactive reports and dashboards, employing self-service analytics to promptly evaluate potential outcomes for more informed, data-driven decisions. Dive into data exploration and construct or modify predictive analytical models using this solution integrated with SAS® Viya®. By fostering collaboration among data scientists, statisticians, and analysts, teams can iteratively refine models tailored to specific segments or groups, thereby empowering decisions rooted in precise insights. This collaborative approach not only enhances model accuracy but also accelerates the decision-making process significantly.

Enable individuals across varying skill levels to engage in data-informed decision-making and take meaningful action when it counts the most. Experience richer interactivity and a wider context at unprecedented speeds. Qlik stands apart from the competition with its exceptional Associative technology, which infuses unparalleled strength into our top-tier analytics platform. Allow all your users to navigate data seamlessly and swiftly, with rapid calculations always presented in context and at scale. This innovation is indeed significant. Qlik Sense transcends the boundaries of conventional query-based analytics and dashboard solutions offered by rivals. With the Insight Advisor feature in Qlik Sense, AI assists users in comprehending and utilizing data more effectively, reducing cognitive biases, enhancing discovery, and boosting data literacy. In today's fast-paced environment, organizations require an agile connection with their data that adapts to the ever-changing landscape. The conventional, passive approach to business intelligence simply does not meet these needs.

Explore all your business information seamlessly within one platform using A7 IoB, a user-friendly digital dashboard. A7 IoB empowers users to manage their most valuable resource: business data. This capability facilitates more informed decision-making based on data insights. Users of A7 IoB can link various business applications and spreadsheets, choose or develop key performance indicators, and effectively visualize their data for better understanding and analysis. With its comprehensive features, A7 IoB transforms how businesses interact with their data.

Introducing SpectraIQ, an all-encompassing solution designed to help individuals and organizations harness the potential of their data through easy-to-use and robust data visualization tools. Our mission is to deliver a platform that streamlines the conversion of raw data into valuable insights, making it accessible to everyone. With a diverse array of features such as customizable charts, interactive dashboards, and effective data management tools, we empower users to make informed, data-driven decisions, unearth hidden trends, and present their discoveries with clarity. Committed to user empowerment, innovation, and data security, we aspire to be a reliable ally in the pursuit of transforming data into significant and impactful visual representations, fostering a deeper understanding of the information at hand. Our dedication to continuous improvement ensures that we stay at the forefront of the data visualization landscape.

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

Metaphactory converts your data into valuable, contextual, and actionable insights, fostering ongoing decision-making intelligence. It features user-friendly interfaces that allow for seamless searching, browsing, and exploration of your Knowledge Graph right from the start. With a low-code methodology, you can create tailored interfaces that facilitate user engagement with the Knowledge Graph. You can begin with a small-scale implementation, continually refine it, and introduce additional use cases, data, and users as needed. This platform supports agile knowledge management and enables the development of applications with ease, promoting dynamic growth and adaptability in business environments. As a result, organizations can effectively manage and utilize their knowledge assets to enhance operational efficiency.

Revintel offers 55 out-of-the-box reports and Revintel’s BI solution, Compose, to create your own custom brand-matched interactive visualizations in a variety of formats using drag and drop functionality. These allow you to spend more time on strategy and analysis than on acquiring data. You can understand the booking pace and identify issues that are affecting performance while you still have time. Find trends and opportunities in property, market, brand, or portfolio-wide areas. Make faster, better-informed, revenue decisions. You can save time and maximize your profitability by having a uniform portfolio view at your fingertips. You can quickly drill down into details by creating personalized dashboards that give you a comprehensive overview of the most important aspects of your business. To guide your marketing efforts, compare YOY economic conditions and market conditions. Deeper more actionable insights enable faster, more informed revenue decisions.

Amazon QuickSight empowers individuals within organizations to gain insights from their data by posing questions in everyday language, navigating through dynamic dashboards, or utilizing machine learning to identify trends and anomalies. It facilitates millions of dashboard interactions each week for notable clients such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western, and Comcast, enabling their users to make informed, data-driven choices. By engaging in conversational inquiries about your data, you can utilize Q's machine learning capabilities to generate pertinent visualizations without the need for extensive data preparation by authors and administrators. This platform also enables the discovery of concealed insights, accurate forecasting, and scenario analysis, while providing the option to enrich dashboards with clear, natural language narratives, all made possible by AWS's machine learning expertise. Additionally, users can seamlessly incorporate interactive visualizations, advanced dashboard design features, and natural language querying capabilities into their applications, streamlining the process of data analysis across various platforms. Thus, QuickSight not only enhances the way organizations interact with their data but also simplifies the journey of transforming raw information into actionable insights.

VGSTUDIO stands out as a premier solution for visual quality assessment in various industrial sectors, particularly in electronics, while also serving as a powerful tool for data visualization in academic disciplines such as archaeology, geology, and life sciences. It efficiently manages the full process, beginning with the accurate reconstruction of three-dimensional volume data collected from CT scans, followed by both 3D and 2D visualizations and the production of captivating animations. The software excels in handling extensive CT data sets, virtually removing any limitations on data size. It features real-time ray tracing to achieve a photorealistic appearance, and it allows for the integrated visualization of voxel and mesh data, including the use of textured meshes. Users can manipulate 2D slices in arbitrary orientations and rotate views around customizable axes. Additionally, it offers gray-value classification of data sets and numerous 3D clipping options to enhance analysis. The ability to unroll objects or flatten freeform surfaces into a 2D representation adds to its versatility, enabling users to merge consecutive slices into a cohesive 2D view for comprehensive examination. Overall, VGSTUDIO is an invaluable asset for anyone seeking to explore and present complex data in a visually impactful way.