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#1 IBM CPLEX Optimization Studio

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IBM CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations. With its simple graphical interface and powerful optimization algorithms, the software can help businesses make the most of their resources and improve their bottom line. As the world becomes more and more complex, businesses need to find ways to optimize their operations and make the most of their resources.

This suite of tools helps them do just that by allowing them to model and optimize their operations using mathematical methods. From scheduling and routing to transportation and resource allocation, IBM CPLEX Optimization Studio can help you make the most of your resources and improve your bottom line. It can solve a broad range of problem types, including linear programming, mixed-integer programming, nonlinear programming, preprocessing options, such as constraint generation and variable elimination, and post-processing tools for reporting solution information and analyzing results.

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#2 Jupyter Notebook

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Jupyter Notebook is a powerful web-based interactive computing platform that allows you to write and run code in a variety of programming languages, including Python, R, and JavaScript. You can also use it to create documents with rich text, equations, images, and other multimedia content. You can use Jupyter to share your work with others or to learn from others.

It supports over 40 programming languages and provides an intuitive environment for data exploration, visualization, and collaboration with interactive graphs and figures. A variety of widgets and tools allow you to visualize your data and results. Integrated support for LaTeX and Markdown is also available for creating rich documents. All in all, Jupyter is an excellent platform for data analysis, scientific computing, and machine learning and is used by researchers, students, and professionals all around the world.

#3 RapidMiner Studio

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RapidMiner Studio is a popular data science workflow designer software that enables you to visually design, execute, and monitor data science workflows. It integrates all the functionality you need to get started with data science, including a complete range of algorithms, connectors to more than 100 data sources, and deployment and scheduling capabilities. It also includes a wide range of powerful algorithms and connectors, so you can quickly get started with your data analysis. You can also build your own custom algorithms using the RapidMiner Studio programming language.

Plus, you can easily share your workflows with others or deploy them in the cloud for execution at scale. RapidMiner Studio comes with a library of pre-built algorithms for data mining, machine learning, text analysis, and predictive modeling. It connects to all of the most popular data sources, including Excel, SPSS, Hadoop, and Tableau. The tool can be used by data scientists, business analysts, and IT professionals.

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#4 TIBCO Data Science

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TIBCO Data Science software allows you to quickly and easily build machine learning models to make predictions on your data. With its intuitive drag-and-drop interface and comprehensive set of capabilities for data preparation, modeling, deployment, and governance, you can easily create models that take advantage of both Python and R libraries. You can also use it to deploy your models in the cloud or on-premises. TIBCO Data Science software helps you uncover insights in your data to make better decisions and improve outcomes.

With an intuitive interface and powerful algorithms, it provides the tools you need to discover patterns and correlations, build predictive models, and optimize decision processes. You can also embed its capabilities into your own applications or use it as part of a comprehensive data science platform. It also offers extensive support for collaboration and governance, so you can manage data science workflows and ensure that models are safe and reliable. Build models and predictions with popular machine learning algorithms and quickly create interactive visualizations to help you understand your data.

#5 AIXON

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AIXON is an AI-powered data science solution that enables data scientists of all levels of experience to build machine learning models and deploy them into production with less code and without the need for a data science team. It automates the process of building machine learning models, from data exploration to model selection to deployment. This means that data scientists can focus on what they do best; solving problems and making discoveries. It helps you in data preprocessing, which is the first and most important step in any data science project.

This cleans and transforms your data so that your models can work more effectively. Some of the key features include an intuitive user interface that makes data science simple and easy to learn, a wide range of algorithms and models that can be used for data analysis, powerful visualization engine that makes it easy to see the results of your data analysis, and an extensive library of tools and resources that can be used to help you with your data science projects.

#6 Pyramid Analytics

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Pyramid Analytics is a data intelligence platform that helps you unlock the value of your data by delivering the insights you need to make better decisions. Integrated with Microsoft Azure cloud, it offers the power and flexibility to meet the needs of any organization, large or small. With Pyramid Analytics, you can prepare your data for analysis with a simple, intuitive interface, Analyze your data to discover hidden insights and trends, Model and predict future outcomes, and share your insights with colleagues and customers in a variety of formats.

The platform helps users cleanse and prepare data for analysis. It includes tools for data profiling, shaping, and blending. You will get the tools for analyzing data both interactively and through batch processing. This includes capabilities for data mining, modeling, and visualization. These all are done with machine learning, deep learning, and natural language processing capabilities.

#7 Vectice

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Vectice is a cloud-based, automated data science solution that enables business users to easily discover patterns and insights in their data without the need for coding or specialized data science skills. You can easily analyze your data to identify trends and patterns, make better decisions, and improve your bottom line. It’s also perfect for students and researchers to conduct complex data analysis without having to learn complex programming languages and make the most of their data. This is the perfect solution for businesses that want to increase efficiency and productivity but don’t have the time or resources to devote to data science.

Best of all, Vectice is completely cloud-based, so you can access it from anywhere, at any time. Whether you’re at your desk or on the go, you can always stay connected to your data. It offers a wide range of machine learning models, including regression, classification, clustering, and deep learning, so you can find the insights you need. Vectice’s interactive visualizations make it easy to explore your data and discover insights. You can also collaborate with other team members to get insights from your data quickly and easily.

#8 PurpleCube

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PurpleCube is a cloud-based AI and ML data analytics platform that allows users to easily and quickly analyze complex data sets without requiring any data science or coding skills. By using this solution, businesses can quickly gain insights into their data, identify patterns and trends, and make better-informed decisions. It is easy to use and requires no setup or maintenance. Simply log in, upload your data, and start analyzing.

PurpleCube can also be used for a variety of different applications, including marketing analysis, customer segmentation, financial analysis, and more. It does this with natural language processing that transforms complex data into easy-to-understand insights that would otherwise be hidden in vast amounts of data. All in all, PurpleCube is a great platform that you can use to gain a competitive advantage over your rivals.

#9 Composable DataOps Platform

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Composable DataOps is a data analytics automation and orchestration platform that provides the necessary foundation, empowering businesses to easily collect, analyze, and act on data in real-time. You can quickly and easily build data pipelines, orchestrate data workflows, and automate data tasks. The data pipelines include a powerful visual editor, a wide range of connectors, and a comprehensive library of reusable components. With Composable DataOps Platform, you can easily orchestrate complex data processing flows using a powerful workflow engine and automate the entire data pipeline lifecycle using a comprehensive library of reusable components.

It’s is designed for modern data-driven organizations that require agility, scalability, and security. The platform also provides a rich set of APIs that you can use to automate your data operations. The centralized platform view shows the status of your pipelines and operations and troubleshoots issues. The platform also provides a variety of tools to help you manage your data resources, including monitoring, logging, and alerting.

#10 Amadea

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Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success. Its purpose-built for the modern data age, delivering an intuitive user experience and powerful functionality for working with data. Amadea is the perfect tool for businesses that want to make better data-driven decisions and for data scientists who want to share their insights with the world. Leveraging a unique combination of big data technology, artificial intelligence, and data science, it helps organizations access, analyze, and act on data quickly and easily.

Some of the key features include a unified big data platform that supports all data types and sources, both internal and external, the ability to quickly and easily build custom data models and algorithms without requiring programming skills, and a wide range of artificial intelligence capabilities, including machine learning, natural language processing, and text analytics. All in all, data scientists can now spend more time on analysis and iterations and less time on data wrangling.

#11 Analance

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Analance is the next-generation Data Science, Business Intelligence, and Data Management platform which is scalable and can handle any size of data and any number of users. It is also easy to use, making it perfect for businesses of all sizes and has a wide range of features, including data cleaning, data processing, data modeling, powerful tools for business intelligence, including reporting, dashboarding, data analysis, data warehousing, data integration, and more.

It enables data-driven organizations to rapidly build and deploy intelligent applications that make data accessible and usable for everyone. Analance is a cloud-based platform that can be deployed in minutes. There is no hardware or software to install. It is available in a variety of configurations to meet the needs of any organization. Moreover, it also offers a wide range of enterprise-grade features, such as role-based security, collaboration tools, and workflow management, to make data-driven decision-making easy and secure.

#12 Data Science Workbench

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Data Science Workbench is a self-service data science platform that makes it easy for data scientists of all experience levels to build and deploy machine learning models. It eliminates the need for data scientists to learn and use complex coding languages like Python and R. Instead, they can use the platform’s intuitive drag-and-drop interface to build models using the same algorithms and libraries they are already familiar with. The platform also includes powerful collaboration features that allow data scientists to work together on projects, share code and results, and more.

And because Data Science Workbench is built on top of Cloudera’s world-class data management and analytics platform, data scientists can be confident that their models will run seamlessly in production. CDSW supports all major open-source data science tools, including Apache Spark, Apache Hadoop, Apache Pig, and Apache Hive. All in all, Data Science Workbench is an essential tool for data scientists who need to quickly build and deploy models in a production environment.

#13 Knoldus

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Knoldus is a data engineering and analytics platform that helps you build intelligent applications at scale. This makes it easy for you to get data into your application, clean and process it, and make it ready for analysis. The platform is powered by AI and machine learning, so you can get the most out of your data. Using Knoldus, teams can quickly build and deploy applications that make use of Machine Learning (ML), Natural Language Processing (NLP), predictive modeling, and more.

The intuitive and user-friendly analytics platform that makes data analysis easy for anyone, regardless of their experience level. You can quickly build data-driven applications using a wide range of libraries and frameworks, easily scale your applications to handle large amounts of data, and deploy applications in minutes without having to worry about infrastructure. So, if you’re looking for a platform that makes it easy to build data-driven applications, Knoldus is the solution for you.

#14 Solvuu

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Solvuu is a web-based data science platform that enables scientists to easily manage, analyze, explore, visualize and share genomics data. The intuitive interface and powerful data management tools make it easy to find the information they need and get their work done quickly and efficiently. With Solvuu, scientists can spend less time struggling with data and more time making breakthroughs in their field. You can access the platform from any device, and powerful analytics and visualization tools will help you make sense of your data.

You also get a variety of sharing options, so you can share your data with colleagues and collaborators around the world. The intuitive data management feature lets you easily upload, store and manage your data in the cloud. Advanced analytics allows you to perform complex analyses on your data with a powerful suite of tools. You can easily create and share reports, graphs, and other visualizations, and they can even share entire datasets with ease.

#15 Domino Data Science Platform

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Domino Data Science Platform is an enterprise data science platform designed for data scientists of all skill levels to build and share models, collaborate on projects, and deploy algorithms at scale. The platform is powered by an open-source data science ecosystem, including Jupyter notebooks, Python, and TensorFlow. It also offers a wide range of features for enterprise data science teams, including governance, security, and collaboration tools. You get a powerful notebook environment with built-in collaboration, powerful data management, and scalable execution engines.

With Domino, data scientists can Eliminate the need to write code, thanks to a library of pre-built algorithms and tools, Get up and running quickly, thanks to a simple, intuitive user interface, Scale their work to handle large datasets and complex models, and share their work with other data scientists, thanks to a built-in collaboration platform. All in all, Domino Data Science Platform is the perfect solution for data scientists who want to get up and running quickly and efficiently without sacrificing power or flexibility.

#16 dotData

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dotData is a data automation platform that enables enterprises to operationalize data science and machine learning. It solves the critical challenge of turning data science insights into production-ready data products. The platform automates the entire data product life cycle from data preparation, feature engineering, model training, deployment, and iteration. dotData’s platform is powered by state-of-the-art machine learning and artificial intelligence algorithms that automatically learn and predict the desired outcome for data transformation projects.

You can automate the entire data pipeline from data acquisition to data cleaning to data exploration to data activation; to enable them to get value out of their data quickly and easily. The modeling tool provides a library of pre-built models for data scientists to use, as well as the ability to build custom models. All in all, dotData’s platform helps enterprises with big data problems such as accelerating time-to-value from data, empowering data scientists, and operationalizing machine learning.

#17 TetraScience

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TetraScience is an R&D data cloud platform that enables scientists to collect, store, analyze, and share data around the world. The platform is designed to make it easy for scientists to manage their data from any device, anywhere in the world. Its patented technology ensures that data is secure and always accessible, even in the event of a natural disaster or network outage. The platform’s intuitive interface makes it easy for scientists to find and use data, regardless of their level of expertise. Being a cloud-based software, scientists can access their data from any device, anywhere in the world.

With TetraScience, researchers can connect their instruments to the cloud, making it possible to store data and access it from anywhere in the world. Additionally, it offers a suite of tools that help scientists make better use of their data, including a data visualization platform, a machine learning platform, and a collaboration platform.

#18 Statista

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Statista is a statistical analysis platform that enables users to perform analysis on different data sets and get reports of it. The platform allows users to get high-quality, in-depth information on important and trending topics, such as digitalization or AI.

Moreover, it helps brands to know what their consumers are thinking through the surveys. The platform enables companies to know about the behavior, attitude, opinions, and preferences of customers all over the world. Moreover, it allows users to get detailed information about the political and social topics of counties and regions.

#19 MonteCarlito

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MonteCarlito is a free add-in for Excel that allows users to perform simulation in it. The software working is simple; users can put all the formulas, which they want to simulate one after the other in the software. Users can select all of these cells in which the data is present and can select some extra cells for the display of output.

The platform also informs users if they want to run the simulations in a high-speed mode, they can use a negative number of trials. It displays the results in a chart form, and it allows users to create a histogram.

#20 Displayr

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Displayr is an online analysis software that allows users to perform analysis and reporting of the data through insights. It helps users to cut their analysis and reporting time to half and enables users to move faster in every stage. It provides users a dashboard, where they can see all the results of analysis and can also view their reports.

The platform offers the fastest tool to uncover and share the stories in your data, and both beginners and expert users can perform analysis on it easily. It comes with basic analysis and crosstabs, which users can use to create tables and helps in easy manipulation of data.

#21 Statwing

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Statwing is a software that helps users in analyzing the tables of data and allows them to perform analysis. The platform enables users to explore the data in seconds, and users can simply upload the spreadsheet and select the operation, which they want to explore. It allows users to clean the unclear data and can create charts in minutes.

The platform is better than other statistical software, and it helps you to stay confident in your analyses as it detects all the outliers. It offers clear and interactive output values such as p-value, effect sizes, confidence intervals, etc.

#22 Jamovi

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Jamovi is a free and open statistical software that helps shorten the gap between a researcher and statistician. The software has made the whole stats work simple, and it is known as the third generation statistical spreadsheet software. Moreover, it integrates the R statistical language that allows users to access the best statistics community through it. The platform is made by the scientific community for the scientific community, which allows users to get a complete suite for analysis.

Users can perform t-tests, ANOVA, correlation, regression, etc. It enables users to enter, copy-paste, or filter any of their data. Jamovi comes with R integration as R syntax that users can use for analysis and can run its editor directly in the software. The software allows users to introduce people to statistics through it. Users can contribute to the software in the coding process or financially.

#23 DataRobot

Freemium
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DataRobot is an automated machine learning platform that makes it easy for users to build and deploy accurate predictive models. The platform comes with the power of artificial intelligence that helps in accelerating every step from data to value. It allows companies to become more innovative, collaborates effectively, and effectively serve their customers.

The platform comes with an automated decision intelligence that allows all the stakeholders to collaborate in extracting the business value to form the data. Moreover, its Paxata Data Prep visually and interactively explore, combine, and shape diverse datasets into data ready at the enterprise level.

#24 BlueSky Statistics

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BlueSky Statistics is a fully-featured statistics application that allows researchers to perform all kinds of analysis and statistics on it. The software helps users to unlock the power of R for the analyst community and helps in data mining and data manipulation functions. Moreover, it provides a rich development framework for developing and deploying new statistical modules, applications, or functions with a rich graphical user interface.

The software allows users to browse, create, edit, and add multiple sets of datasets and variables to the analysis and perform the whole process with a single click. It enables users to access popular statistics with machine learning, data mining, and exploratory data analysis functions.

#25 SOFA Statistics

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SOFA Statistics is a user-friendly, open-source software for everyone to perform statistics and analysis. The platform enables users to make charts, produce attractive report tables, and perform a range of basic statistical tests. Moreover, the software can be used by researchers, students, data analysts, and other marketers for their product analysis.

The platform provides attractive output to users, and they can use it to generate reports directly through the results, and it focuses on the aesthetics of the results. Moreover, it allows users to connect directly to the database and bring all the tables to the software for the analysis.

#26 Knime

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Knime is an analytics platform that offers services to users for creating data science by using an intuitive environment. The platform helps the stakeholders in the whole process to stay focused on what they are doing. It helps users in different ways, such as by gather, accessing, merging, and transforming all of the users’ data.

Moreover, it allows users to model and visualize their whole data to make sense of the data with the rights tools according to their usage. The software helps users in deploying and managing data while supporting enterprise-wide data science practices. It allows users to consume and optimize the data and leverage the insights gained from the data.

#27 RapidMiner

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RapidMiner is a data science and machine learning platform that allows users to unite their data and understand the changing trends through it. The software is a fully transparent, end-to-end data science platform that allows users to seamlessly integrate and optimize their data preparation for building ML models. It comes with a machine learning technology that enables users to design models using a visual workflow.

The platform allows users to deploy and manage models and turn them into perspective actions with complete end-to-end collaboration. It has a lightning-fast business impact that provides products to users through visual and automated analysis.

#28 JASP

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JASP is a platform that offers a fresh way to do statistics and comes with an intuitive user interface. The platform is completely flexible to use, and users can use it for free. It enables users to perform two kinds of analyses, i.e., Frequentist analysis and Bayesian analysis.

Moreover, it comes with a spreadsheet layout and an intuitive drag-and-drop interface, which allows users to place any data easily. The software allows users to do analyses such as Anova, A/B testing, binomial testing, Confirmatory Factor Analysis, Chi-square, Correlation, Exploratory Factor Analysis, etc.

#29 Number Analytics

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Number Analytics is a platform that offers statistical data analysis tools to users for marketing researchers, ANOVA, and other kinds of analysis. The platform allows users to perform all the basic statistics such as descriptive statistics, creating the frequency tables, finding the value of chi-square, or correlation.

Moreover, it offers a Choice-Based Conjoint tool that enables users to perform analysis for new product features and pricings to know how customers value their different attributes. It allows users to perform all kinds of regressions, such as Linear, log-liner, logistic regression, and many others.

#30 PSPP

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PSPP is a replacement for statistical analysis of sampled data and allows users to replace the SPSS freely, and users can have the same expectations with it. The best thing about this application is that it is free, and users do not have to worry about the expiry date of their license.

Moreover, users are free to access any number of variables, and they can use it any number of times without any limit. The software can perform descriptive statistics, along with T-test, Anova, linear and logistic regression, and it is a stable application.

#31 Cloud stats

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Cloud stats is a statistics package that is open for everyone to analyze, giving adaptability and functionality to modern researchers. This stats generator allows you to work from any device you want, and you can do a complete range of statistical analysis in a more appropriate way. This software is allowing you to fluidize your experience in the development of the application and provides you a data that will permit you to build an application without any major errors.

You should not be worried about your internet connection working because you work offline in Cloud stats, so you will never be lagging anymore. There are multiple features on offer that works offline, installation-free setup, textbook integrated interface, send links, tools to teach coding, and more to add. Furthermore, Cloud stats is an ideal way to get done with your programming to build an intuitive interface, and novice can learn different coding having different programming language frameworks.

#32 Deducer

Free
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Deducer is a platform that allows users to perform different statistical analysis, similar to the ones done in SPSS or JMP. The platform comes with a menu system that allows users to manipulate the data and perform all analysis tasks in it. It has an excel-like spreadsheet through which users can view and edit their frames.

The main purpose of the software is to provide an intuitive graphical user interface for R to encourage the non-technical users to learn and perform analysis without any expertise in programming. It enables users to perform different tasks with simple mouse clicks instead of hundreds of keystrokes.

#33 IBM SPSS

Freemium
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IBM SPSS is an advanced statistical software that allows users to perform their quantitative calculation of research on it. The software enables users to add their data to any extent, and they can add different features in it, such as mentioning the demographics, gender, etc. It helps researchers in ad hoc analysis, hypothesis testing, geospatial analysis, and much more.

The software enables organizations and researchers to understand the data, its trends, forecast, and plan to validate assumptions and helps in getting accurate conclusions. It covers different results, such as it provides users with mean, median, mode of the data, and values of kurtosis.