Portable KNIME Analytics Platform
4.4.0Open-source data analytics application that can generate reports and integrate with various machine learning and data mining tools
KNIME Analytics Platform is a free and open-source application dedicated to data analysis, reports and integration with machine learning and data mining tools. It takes a modular approach toward data pipelining, featuring an intuitive graphical interface for ETL (Extraction, Transformation, Loading) and requires minimal programming experience.
Some users consider it to (partially) be an alternative to SAS. Although it's primarily used in pharmaceutical research, KNIME is also utilized in business intelligence, CRM customer data and financial data analysis.
The interface is really clean when taking into account the range of options provided by the tool. Multiple panels are listed for exploring projects in a tree view, managing the node repository, viewing node descriptions, previewing the project's outline, and examining errors in the console.
The editing panel is multi-tabbed, so you can keep multiple projects opened at once and navigate them easily. To get a better idea of how KNIME works, you can open example projects for building a simple classifier, data blending, simple reporting, building and deploying a Churn prediction model, and others.
Objects in the designer can be double-clicked to configure settings. For instance, when it comes to the data reading file, you can preview the table of data entries, change the column delimiter, edit flow variables, or set memory policy options. For each executed object, you can view log details in the console window.
In addition to configuration and execution, the right-click menu of Knime Analytics Platform lists options for editing node descriptions and creating workflow annotations. The node repository contains IO (e.g. read, write), manipulation (e.g. column, table), views (e.g. JavaScript, histogram), analytics (e.g. mining, statistics), database (e.g. connector, utility), and other nodes.
You can export KNIME workflows to file and open them later to pick up where you left off, similarly export and import preferences, use a wizard for creating a so-called "metanode" from template, or change workflow editor settings like grid size or curved connections.
The application has over 1,500 modules when it comes to data access, transformation, analysis, data mining, visualization and deployment. It supports connectors for major filetypes and databases.
All aspects considered, KNIME Analytics Platform comes bundled with the necessary tools for aiding you in various data analysis projects. Besides the fact that it's free and open-source, it's available in an installer and portable package.
Some users consider it to (partially) be an alternative to SAS. Although it's primarily used in pharmaceutical research, KNIME is also utilized in business intelligence, CRM customer data and financial data analysis.
Free and open-source data analytics tool
The interface is really clean when taking into account the range of options provided by the tool. Multiple panels are listed for exploring projects in a tree view, managing the node repository, viewing node descriptions, previewing the project's outline, and examining errors in the console.
The editing panel is multi-tabbed, so you can keep multiple projects opened at once and navigate them easily. To get a better idea of how KNIME works, you can open example projects for building a simple classifier, data blending, simple reporting, building and deploying a Churn prediction model, and others.
Configure objects settings and execute code
Objects in the designer can be double-clicked to configure settings. For instance, when it comes to the data reading file, you can preview the table of data entries, change the column delimiter, edit flow variables, or set memory policy options. For each executed object, you can view log details in the console window.
In addition to configuration and execution, the right-click menu of Knime Analytics Platform lists options for editing node descriptions and creating workflow annotations. The node repository contains IO (e.g. read, write), manipulation (e.g. column, table), views (e.g. JavaScript, histogram), analytics (e.g. mining, statistics), database (e.g. connector, utility), and other nodes.
Intuitive analytics platform with practical features
You can export KNIME workflows to file and open them later to pick up where you left off, similarly export and import preferences, use a wizard for creating a so-called "metanode" from template, or change workflow editor settings like grid size or curved connections.
The application has over 1,500 modules when it comes to data access, transformation, analysis, data mining, visualization and deployment. It supports connectors for major filetypes and databases.
All aspects considered, KNIME Analytics Platform comes bundled with the necessary tools for aiding you in various data analysis projects. Besides the fact that it's free and open-source, it's available in an installer and portable package.
649 MB
Info
Update Date
Aug 17 2021
Version
4.4.0
License
Open Source
Created By
KNIME.com GmbH
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