Alternatives to GUMsim

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit. Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is! Process Capability analysis - to meet customer needs Control charts and histograms - to manage processes Gage R&R Studies – To validate your measurement system Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.

SPC-PC IV Explorer, a leading Statistical Process Control Software (SPC) package, is used for quality assurance, capability evaluations, streamlined process data management, and reporting. -Manage process information with cascading folders that are grouped by customer, department and product. -Password-protected concurrent use licensing controls access to features -Process Monitor charts give a dashboard view of KPI -Quickly analyze keyboard and data imported from Excel or other ODBC sources like ERP, SAP, LIMS, or LIMS. -Data entry via electronic gaging is supported in the optional Work Set view -Customized reports can be exported to Word with charts, data, or any other information as required -Show stratification patterns by using symbol shape/color or filter data using traceability field. Optional Web SPC interface to report, data entry and process monitoring throughout your supply chain without the need for a local installation -Optional Calibration Management or separately as QA–Calibrate

The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.

Beautiful dashboards and reports are available in BI tools that allow users to examine patterns in historical data. Past data can provide insights. It cannot be prescriptive. Model-Driven decision making is the only way to get a better understanding of what could happen in unusual situations and how to make it happen. Analytica is an innovative visual software environment that allows you to build, explore, and share quantitative decision models that produce prescriptive results. Transcend cumbersome spreadsheets. Analytica's flexibility, power, flexibility, and clarity are a revelation. Analytica makes it easy to create transparent models in fractions of the time required for procedural languages such as R or Python. Analytica provides insights, not just numbers. Agile modeling can be used to create models that support business decision-making. Probabilistic simulations are efficient and accurate in estimating risk and uncertainty. Smart sensitivity analysis reveals what is important and why.

GAMS, which stands for General Algebraic Modeling System, is a premier software for mathematical modeling praised for its exceptional performance, scalability, and user-friendly interface. With the recent launch of GAMSPy, users can now seamlessly merge GAMS functionalities with Python, thus enhancing the efficiency and versatility of model development within the Python environment. The platform's algebraic modeling language greatly simplifies the formulation of optimization challenges, leading to optimal outcomes through the use of advanced mathematical solvers. Furthermore, GAMS MIRO introduces intuitive graphical interfaces for managing GAMS models, supporting both local and cloud-based deployment alongside sophisticated visualization tools. For those seeking scalable solutions, the GAMS Engine provides a dependable software as a service (SaaS) option, making it possible to execute models either on local servers or in the cloud. In addition to these features, GAMS is committed to supporting its users through various workshops, training sessions, and consulting services, aimed at enhancing their ability to create, refine, and implement effective decision-support systems. This comprehensive approach ensures that users are well-equipped to leverage GAMS to its fullest potential, fostering innovation and efficiency in their modeling endeavors.

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.

ASReml-SA is a robust statistical software specifically tailored for mixed models that utilize Residual Maximum Likelihood (REML) for parameter estimation. Linear mixed-effects models serve as a versatile and comprehensive method for analyzing numerous datasets frequently encountered in fields such as animal, plant, and aquatic breeding, as well as in agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor 4.1, allowing for significantly larger analytical tasks to be performed. With enhancements in parallel processing and the capability to allocate memory for specific operations, the software has also seen improvements in speed; a comparison table is provided below to illustrate the speed enhancements realized across various analyses. ASReml-SA 4.2 not only accelerates processing but also offers users the potential for optimized performance tailored to their specific hardware and analytical needs. Ultimately, these advancements reflect ASReml-SA's commitment to facilitating efficient and effective data analysis.

Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

Decision Analyst provides complimentary software tools for marketing researchers, including STATS™ 2.0 and ChoiceModelR™. The company has been acknowledged as the top Research Agency in the U.S. by Corporate Buyers, achieving first place in categories such as Overall Satisfaction, Data Quality, Analytical Skills, and On-Time Delivery. Effectively segmenting a market involves not only recognizing the differences between segments but also knowing how to utilize that information practically. Predicting audience reactions to advertisements is inherently uncertain; without thorough research, it becomes merely speculation. CopyTest® is designed to eliminate the uncertainty surrounding advertising effectiveness. By integrating qualitative insights with quantitative analysis, Decision Analyst empowers businesses to refine and enhance their marketing strategies. Additionally, the often-overlooked aspect of distribution plays a crucial role in formulating successful strategies, highlighting its significance in achieving overall marketing success. Understanding the complete marketing framework can lead to more informed decision-making and improved outcomes.

In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.

Keen is shaping the future of marketing mix by providing a comprehensive system that integrates both historical analysis and forward-looking, prescriptive planning, ensuring that marketers can continually refine their spending decisions across various channels while linking them to financial outcomes. This enables businesses to quickly adopt data-driven strategies and incorporate new information on the fly. With Keen’s marketing elasticity engine, users can explore all available channels, including those previously untested, allowing for informed scenario planning that aligns with both financial objectives and risk management. When considering marketing metrics, one often thinks of marketing mix models or multi-touch attribution methods to assess past effectiveness. However, the challenge lies in identifying the best opportunities for future initiatives, particularly in uncharted channels or during times of significant uncertainty, such as during a pandemic. Keen’s SaaS platform empowers users to forecast future performance accurately across all channels, enabling them to make wiser, growth-oriented decisions. This innovative approach not only enhances strategic planning but also helps marketers navigate the complexities of an ever-evolving market landscape.

Crafted by a team of skilled statisticians and programmers, SUDAAN is a specialized software package intended for researchers handling study data. This software adeptly addresses issues related to correlated observations, clustering, weighting, stratification, and various intricate design elements, making it exceptionally suited for the efficient and precise analysis of data derived from surveys and experimental research. With over 1,400 analysts across government, academic institutions, and private sectors utilizing it, SUDAAN enhances the capabilities of existing statistical software packages. By incorporating SUDAAN into your array of statistical analysis tools, you gain the ability to execute more sophisticated statistical procedures, including weight calibration and imputation, while also accommodating a broader spectrum of survey designs through our thoroughly vetted and reliable solution. Furthermore, SUDAAN’s advanced features can significantly elevate the quality and depth of your analytical outcomes.

Calibration Studio provides significant advantages compared to traditional calibration methods. It utilizes a workflow-oriented approach that streamlines the processes of calibration and inspection. The platform's core features include master management, instrument management, instrument reception, inspection, and certificate generation. It also encompasses calculations for Type A and Type B uncertainties, as well as the display and printing of certificates. Auditors are able to review measurement results, uncertainty values, and relevant certificate details to determine whether to accept or reject the instrument being inspected. Instruments that are rejected are returned for recalibration or necessary repairs, while those that pass inspection are forwarded to the appropriate department for continued use. Additionally, the functionality for configuring metadata enables administrators to set up customer information, units of measurement, master and instrument categories and subcategories, measurement methodologies, and any relevant fields, notes, or remarks on the certificates. This versatile tool not only enhances efficiency but also ensures accuracy and compliance in calibration practices.

XLfit® is an add-in for Microsoft® Excel designed for Windows that integrates advanced scientific mathematics and statistical analysis directly into the familiar Excel environment, complete with robust charting features. Recognized as a premier statistical and curve fitting tool, XLfit is trusted by top organizations in the pharmaceutical, chemical, engineering sectors, and academic research, with validation from the National Physical Laboratory (NPL). Users can access a library of over 70 pre-built models for both linear and nonlinear curve fitting, accommodating the needs of experiments in drug discovery and related fields. In addition to these standard models, XLfit allows the addition of an unlimited number of custom user-defined models. The software offers capabilities such as linear and nonlinear modeling, as well as interactive 2D and 3D charting, facilitating features that are essential for scientists. With its comprehensive set of tools, XLfit empowers researchers to effectively analyze and visualize their data.

Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.

Utilize standard statistical methods to examine data effectively. Perform crosstabulations, derive descriptive statistics, assess correlation, and conduct significance tests without the need to master programming languages or intricate software commands. You can view a summary of the findings in the Explore tab, while traditional statistical tables are stored in the Output Log for further reference. This approach allows for a streamlined analysis process that remains accessible to users of varying skill levels.

Plerdy – Multifunctional SaaS solution to improve conversions on websites. Heatmaps - We can see exactly where clicks took place on the website. All clicks are recorded and displayed in real-time. This allows you to see how users interact with the website. Popup smart forms - Create and display pop-up forms quickly on your website without the need for a designer or developer. Example: The popup form to collect leads from the website. Offer to users when they abandon shopping cart. - SEO-alerts: This tool continuously analyzes your website's SEO factors and sends you regular notifications about any changes. To determine what can be optimized, it checks keywords, titles and tags. This provides aggregated and on-page statistics that can be used to evaluate your web resource.

Deep Talk provides a rapid solution for converting text from various sources such as chats, emails, surveys, reviews, and social media into actionable business intelligence. Our user-friendly AI platform allows you to delve into customer communications effortlessly. Utilizing unsupervised deep learning models, we analyze your unstructured text data to uncover valuable insights. Our specialized "Deepers" are pre-trained deep learning models designed for customized detection within your information. With the "Deepers" API, you can perform real-time text analysis and tag conversations or text effectively. This enables you to connect with individuals who are interested in your product, seek new features, or voice their concerns. Furthermore, Deep Talk delivers cloud-based deep learning models as a service, making it simple for users to upload their data or integrate with supported services. By doing so, you can extract comprehensive insights and valuable information from platforms like WhatsApp, chat discussions, emails, surveys, and social networks. This transformative approach ensures that your business can stay ahead by understanding customer needs and sentiments with ease.

IBM®, SPSS®, Amos is an advanced structural equation modeling software that extends standard multivariate methods such as regression, factor analysis and correlation. It also allows you to perform analysis of variance. Create behavioral and attitude models that reflect complex relationships more accurately using a graphical or programmatic interface. Amos is included with the Premium edition of SPSS Statistics, except for the Campus edition where it is sold separately. Amos is available as part of SPSS Statistics' base, standard, and professional editions, or as a standalone application.

NXG Logic Explorer is a comprehensive machine learning software designed for Windows, aimed at facilitating data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation tasks. By streamlining various processes, it allows users to uncover new patterns in exploratory datasets and engage in hypothesis testing, simulations, and text mining to derive valuable insights. Among its notable features are the automatic cleaning of disorganized Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and frequency counts across multiple continuous and categorical variables. The software also supports the simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests for various variables, while automatically creating multivariable linear, logistic, and Cox proportional hazards regression models based on a pre-set p-value criterion to filter results from univariate analyses. Overall, NXG Logic Explorer serves as a powerful tool for researchers and analysts who seek to enhance their data analysis capabilities efficiently.

Altair is utilized by data scientists and business analysts to extract actionable insights from their datasets. Knowledge Studio offers a leading, user-friendly machine learning and predictive analytics platform that swiftly visualizes data while providing clear, explainable outcomes without necessitating any coding. As a prominent figure in analytics, Knowledge Studio enhances transparency and automates machine learning processes through features like AutoML and explainable AI, all while allowing users the flexibility to configure and fine-tune their models, thus maintaining control over the building process. The platform fosters collaboration throughout the organization, enabling data professionals to tackle intricate projects in a matter of minutes or hours rather than dragging them out for weeks or months. The results produced are straightforward and easily articulated, allowing stakeholders to grasp the findings effortlessly. Furthermore, the combination of user-friendliness and the automation of various modeling steps empowers data scientists to create an increased number of machine learning models more swiftly than with traditional coding methods or other available tools. This efficiency not only shortens project timelines but also enhances overall productivity across teams.

Develve is a statistical software designed for the quick and straightforward analysis of experimental data within scientific and research settings, making it especially beneficial for both novice and experienced users. This package not only streamlines analysis but also minimizes the risk of erroneous conclusions. It prioritizes user-friendliness by eliminating complex hidden menus, ensuring that users can easily access all features and see results instantly, thereby enhancing overall efficiency. For example, users can seamlessly scroll through result graphs, and a simple click will enlarge them for better visibility. Develve also provides clear indications of significant differences between variables and assesses the adequacy of sample sizes to avoid misleading assumptions. It supports the Design of Experiments by assisting in the creation of test matrices and detects any imbalances among factors. Consequently, this software is instrumental in developing robust, high-quality products, establishing it as an invaluable tool in Six Sigma methodologies, and ultimately contributing to improved research outcomes and product success.

Experience the robust statistical modeling and analysis capabilities typically found in high-end statistics software. This package encompasses a wide range of techniques including multiple regression and model fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis, and hypothesis testing, along with various tools for exploratory data analysis. It also features statistical process control and quality enhancement tools that help fulfill customer needs and ensure satisfaction. Furthermore, it enables compliance with regulatory standards through thorough analytical and diagnostic method validation and verification. Enjoy all the advanced functionalities of Analyse-it, integrating the best features from other versions. With over 25 years of experience in developing statistical software, we have established a strong reputation for quality and have collaborated with numerous prominent companies due to our proven track record. Our commitment to innovation and excellence keeps us at the forefront of the industry, ensuring our users have access to the latest advancements in statistical analysis.

Applying formulas to data without careful consideration often yields minimal benefits beyond the simplest scenarios. Data analysis in the real world involves a complex, multi-step approach, and Data Desk enhances this workflow by enabling the identification of potentially erroneous outliers through a single visual interface, while maintaining your selections as you navigate through various visualizations. This allows you to quickly recognize outliers and trends at a glance. By facilitating the rapid transformation of data into different formats, Data Desk promotes a culture of experimentation and creativity, leading to the development of more effective models. Users can interactively select and categorize data across multiple visualizations in real-time. With Data Desk's intuitive graphical interface, you can create plots and execute advanced analyses, and with just a click, you can export the R or Python code that replicates your work. Additionally, Data Desk ensures that your data is cleaned to meet R's standards, preventing issues with stray characters. Any comments added within your Data Desk environment seamlessly translate into comments in the generated code, enhancing the clarity and usability of your analyses. Such features not only streamline the analytical process but also foster a deeper understanding of the data at hand.

MET/CAL® Plus Calibration Management Software offers a comprehensive solution designed to streamline calibration procedures while effectively managing and reporting on measurement assets. This software suite consists of two key applications: the MET/CAL software, which is recognized as the leading tool for automated calibration, and MET/TEAM Express, or the more advanced MET/TEAM software, aimed at test and measurement asset management. By utilizing MET/CAL software, users can significantly reduce the time required for calibration, potentially cutting it in half through complete automation of electrical and RF calibration tasks. Additionally, the software provides documented procedures and calibration results, along with detailed reports that facilitate compliance with various quality standards such as ISO 9000, ANSI Z540, and ISO/IEC 17025. Overall, MET/CAL Plus not only enhances efficiency but also supports organizations in maintaining high-quality measurement practices.

With a focus on transforming your concepts into reality, Altair Compose facilitates data analysis, algorithm development, and model creation. This versatile environment is equipped for performing mathematical calculations, data manipulation, visualization, and script programming while also supporting debugging for repetitive tasks and process automation. Users can engage in a wide range of mathematical functions such as linear algebra, matrix manipulation, statistical analysis, differential equations, signal processing, control systems, polynomial fitting, and optimization techniques. The extensive collection of native CAE and test result readers streamlines system comprehension and integrates seamlessly with Altair Activate® to enhance model-based development for both multi-domain and system of systems simulations. Furthermore, Altair Embed® enriches the model-based design ecosystem with capabilities for automated code generation, which enables thorough testing and verification of embedded systems, ensuring reliability and performance in various applications. This comprehensive suite of tools empowers users to innovate and optimize their projects effectively.

SAS Visual Statistics allows for collaborative data exploration among multiple users, enabling them to interactively develop and refine predictive models. Data scientists and statisticians can leverage the most suitable analytical techniques to act on insights at a detailed level. Consequently, you will discover insights at remarkable speeds, uncovering new opportunities for revenue growth. The platform facilitates the construction and fine-tuning of models aimed at specific demographics or segments while simultaneously running various scenarios. This capability encourages users to pose numerous what-if questions to enhance outcomes. Additionally, results can be operationalized through automatically generated score code. Users are empowered to visually manipulate data by adding or adjusting variables, eliminating outliers, and more. Changes can be instantly assessed for their impact on the model's predictive accuracy, allowing for swift adjustments. Data science teams enjoy the ultimate flexibility by working in their preferred programming languages, maximizing their expertise. Ultimately, SAS Visual Statistics integrates all analytical resources, making it a comprehensive solution for data-driven decision-making. It fosters an environment where innovation can thrive, pushing the boundaries of what data analysis can achieve.

EngineRoom facilitates process enhancement through an extensive array of problem-solving resources. It integrates various graphical, statistical, and modeling instruments that aid in the organization and management of your projects. You can scrutinize your data, oversee projects, and design and map processes effectively. With EngineRoom’s user-friendly drag-and-drop interface, the typically challenging learning curve associated with desktop data analysis tools is significantly reduced. The platform also features interactive, patented wizards that guide users through hypothesis testing and design of experiments (DOE), ensuring accurate data analysis and clear reporting of findings. Additionally, there is no need for installation on individual desktops, management of complex licensing files, or dedicated hard drive space, allowing for immediate access to the platform. By logging into your account through any web browser, you can easily access your projects from anywhere, and when you revisit them, your data and results remain intact just as you left them. This seamless accessibility makes it convenient for users to continue their work without interruption, enhancing productivity and efficiency in project management.

FlexSim allows you to answer any question about your company with accuracy. It is a powerful simulation tool that was built from the ground up to make simulation simple and easy without sacrificing any functionality or visual appeal. With drag-and-drop controls, easy-to-use features, you can create stunning, detailed models that produce results but make an impact like charts or spreadsheets.

Metrology.NET offers comprehensive support for both manual and fully automated calibration, utilizing your lab's 17025 measurement uncertainty calculations. Thanks to its standardized module-based “taxonomy” approach, the process of creating automation has never been more efficient. Automated calibration procedures can be established in just three straightforward steps: begin by defining the test points with their corresponding pass-fail limits, then input the instrument settings, and finally generate a VISA script utilizing Metrology blocks. The platform emphasizes the reuse of software tools across various disciplines, making it a resource-efficient choice. Metrology.NET is capable of handling a vast array of calibration needs, including DC & low frequency, RF and microwave, torque, temperature, flow, force, humidity, mass, and pressure. Furthermore, every aspect of the software is built on a sustainable framework, ensuring long-term viability. As a product of 21st-century engineering, Metrology.NET integrates the most advanced technologies available today. It transcends mere industry jargon, standing out as a truly scalable, low-code solution that is future-ready and specifically designed for the metrology field, ensuring that it meets both current and emerging needs. Its versatility allows labs to adapt to changing requirements and technological advancements seamlessly.

It monitors daily incoming data, calibration record sheets, calibration certificates, invoicing, bills received, and the calculation of measurement uncertainty (MU). ICPro provides numerous advantages to organizations by offering insights into various lab reports, such as equipment pending calibration, bill collections, outstanding payments, service tax information, calibration history, calibration deadlines, and delivery performance metrics. InstaCalPro serves as a robust management tool for gauges, enabling you to maintain a comprehensive history of your measurement devices, instruments, and gauges. Furthermore, it creates calibration schedules and notifies you of any calibrations that have failed or are overdue. You can quickly verify whether you have a specific size or type of gauge available. This functionality enhances operational efficiency and ensures compliance with calibration standards.

Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.

MatDeck is a universal technical software that can be used for mathematics, science, engineering, chemistry, programming, databases, and many other purposes. Our software includes a complete Python IDE, thousands of mathematical functions, a drag-and-drop GUI Designer, and many visualization tools. All this is embedded in a cutting-edge, live document that provides a professional computing environment at a low cost.

StatTrac was meticulously crafted to cater to the specific requirements of franchise owners. This cloud-based platform enables reliable tracking and retrieval of statistical data across various locations in a precise, uniform, and prompt manner. Data is inputted just once from each location, stored in a centralized database, and does not require re-entry by different management tiers. Consequently, this system eradicates the necessity for duplicate data entries and significantly reduces potential errors. Management preselects which information to compile, ensuring that metrics can be analyzed and compared across different units in a consistent format for any chosen timeframe. This approach avoids inconsistencies in measurements throughout the franchise. Additionally, information can be swiftly accessed from all locations and compared across groups or time frames instantly, thereby minimizing the management hours typically dedicated to compiling data from multiple franchises. By streamlining this process, StatTrac enhances efficiency and allows franchise owners to focus on strategic decision-making.

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

Enhance your security framework for open source by implementing automated best practices, creating an integrated workflow that benefits both security and development teams. This cloud-native security solution minimizes risk and safeguards revenue while allowing developers to maintain their pace. The dependency firewall effectively isolates harmful open source elements before they can affect developers and infrastructure, thus preserving data integrity, company assets, and brand reputation. Our comprehensive policy engine examines various threat indicators, including recognized vulnerabilities, licensing details, and rules defined by the customer. Gaining visibility into the open-source components utilized in applications is essential for mitigating potential vulnerabilities. The Software Composition Analysis (SCA) and dashboard reporting provide stakeholders with a complete perspective and prompt updates regarding the existing environment. Additionally, you can detect the introduction of new open-source licenses within the codebase and automatically monitor compliance issues involving licenses, effectively managing any problematic or unlicensed packages. By adopting these measures, organizations can significantly improve their ability to respond to security challenges in real time.

The ACE4J, or Adaptive Calculation Engine for Java, serves as a dependable solution for transforming Excel-based applications into cost-effective web applications, ensuring efficient performance and offering easy future maintenance and support. Furthermore, ACE4J features a contemporary formula language built on a powerful and effective calculation engine, adept at handling intricate Excel formulas. This makes it an invaluable resource for new Java-based web applications that demand significant computational capabilities. Acting as a Java API, the Adaptive Calculation Engine facilitates the evaluation of formulas crafted in a Microsoft Excel format. It includes a wide array of commonly used Excel functions that are essential for applications requiring intensive calculations. With each release, the range of available formulas and features expands, driven by valuable customer feedback. Notably, the Adaptive Calculation Engine can process thousands of formulas in mere seconds, showcasing its high efficiency and reliability in performance. This positions ACE4J as a remarkable choice for developers seeking to integrate advanced calculation functionalities into their web applications.

PASS software offers tools for calculating sample sizes across more than 1100 statistical tests and confidence interval scenarios, which is significantly greater than what any other sample size software can provide. Each of these tools has undergone rigorous validation through published research and established texts. You can familiarize yourself with PASS by trying out a free trial, watching the accompanying video, or navigating through this website. With over 25 years of refinement, PASS has established itself as the top choice for sample size software in clinical trials, pharmaceuticals, and various medical research applications. Moreover, it has gained recognition across numerous other domains where sample size assessment is crucial. In just a few simple steps, PASS enables you to determine the sample size required for a statistical test or confidence interval. Should you require assistance at any stage, PASS provides comprehensive documentation, access to free training videos, and the option to reach out to our team of expert Ph.D. statisticians for support. This commitment to user support ensures that all users can effectively utilize the software to meet their research needs.

PeopleFluent’s performance management solution empowers managers to add value to their businesses by facilitating employee success. With PeopleFluent Performance Management, you have access to a comprehensive set of resources designed to create and implement scalable programs. This software encourages your team to excel, fosters a supportive culture, and aids in achieving your organizational objectives. Recognizing that every company, its workforce, and its processes are distinct, PeopleFluent Performance Management offers a customizable experience. Tailored workflows and assessments integrate seamlessly into your current systems, while forms are easily adaptable for any device, ensuring user-friendliness. Building an exceptional team requires dedication and strategic planning to cultivate talent effectively. Our career path visualization tools are instrumental in steering employee development, allowing you to pinpoint skill deficiencies and address them accordingly. By investing in your employees' growth, you not only enhance individual performance but also contribute to the overall success of your organization.

MedCalc is a statistical package for biomedical research. Statistics includes more than 220 statistical tests and procedures, as well as graphs and methods, including ROC curve analysis and method comparison, and quality control tools.

Conducting effective statistical data analysis in Microsoft Excel can be challenging with the current add-ins and software tools available. However, UNISTAT stands out by integrating the capabilities and precision of a comprehensive statistical package into your existing data analysis and visualization routine. The process of utilizing UNISTAT as an Excel add-in is straightforward; simply highlight a data range and choose a procedure from the UNISTAT menus. Its user-friendly dialogue boxes make it easy to navigate, ensuring that you won't feel like you're using a separate application. This seamless integration enhances your analytical capabilities while maintaining a familiar Excel interface, making it a valuable tool for users looking to elevate their data analysis experience.

NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.