KNIME Analytics Platform

Creating Data Science

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KNIME Analytics Platform is the open source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

Build Data Science Workflows

One single, open source data analytics tool.

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knime_icons_rz Visual Programming

Create visual workflows for data analytics with an intuitive, drag and drop style graphical interface, without the need for coding. Drag and drop nodes and components from the KNIME Hub.

knime_icons_rz Nodes for the Entire Data Science Life Cycle

Model each step of your data analysis, control the flow of data, and ensure your work is always current.

Tool Blending

Blend tools from different domains with KNIME native nodes in a single workflow, including scripting in R & Python, machine learning, or connectors to Apache Spark.

Get Started Quickly

Check out the KNIME Hub and the hundreds of publicly available workflows, or use the integrated workflow coach.

Blend Data from Any Source

Open and combine simple text formats (CSV, PDF, XLS, JSON, XML, etc), unstructured data types (images, documents, networks, molecules, etc), or time series data.

Connect to a host of databases and data warehouses to integrate data from Oracle, Microsoft SQL, Apache Hive, Snowflake, and more. Load Avro, Parquet, or ORC files from HDFS, S3, or Azure.

Access and retrieve data from sources such as Salesforce, SharePoint, SAP Reader (Theobald Software), TwitterAWS S3, Google Sheets, Azure, and more.

Learn more: File access and transformation.

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Shape your Data

Derive statistics, including mean, quantiles, and standard deviation, or apply statistical tests to validate a hypothesis. Integrate dimensions reduction, correlation analysis, and more into your workflows.

Aggregate, sort, filter, and join data either on your local machine, in-database, or in distributed big data environments.

Clean data through normalization, data type conversion, and missing value handling. Detect out of range values with outlier and anomaly detection algorithms.

Extract and select features (or construct new ones) to prepare your dataset for machine learning with genetic algorithms, random search or backward- and forward feature elimination. Manipulate text, apply formulas on numerical data, and apply rules to filter out or mark samples.

Leverage Machine Learning & AI

Build machine learning models for classification, regression, dimension reduction, or clustering, using advanced algorithms including deep learning, tree-based methods, and logistic regression.

Optimize model performance with hyperparameter optimisation, boosting, bagging, stacking, or building complex ensembles.

Validate models by applying performance metrics including Accuracy, R2, AUC, and ROC. Perform cross validation to guarantee model stability.

Explain machine learning models with LIME, Shap/Shapley values. Understand model predictions with the interactive partial dependence/ICE plot.

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Discover and Share Data Insights

Visualize data with classic (bar chart, scatter plot) as well as advanced charts (parallel coordinates, sunburst, network graph, heat map) and customize them to your needs.

Display summary statistics about columns in a KNIME table and filter out anything that's irrelevant.

Export reports as PDF, PowerPoint, or other formats for presenting results to stakeholders.

Store processed data or analytics results in many common file formats or databases.

Scale Execution with Demands

Build workflow prototypes to explore various analysis approaches. Inspect and save intermediate results to ensure fast feedback and efficient discovery of new, creative solutions.

Scale workflow performance through in-memory streaming and multi-threaded data processing.

Exercise the power of in-database processing or distributed computing on Apache Spark to further increase computation performance.

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Try free and open source KNIME Analytics Platform.

Open Source Approach

What we mean by "Open for Innovation"; and our case for openness.

Read More

Framework and Security

Details on our software framework and security approach.

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Product Details

Download the KNIME Analytics Platform product sheet.
 

More Details

Contact Us

Reach out to us if you'd like more information on KNIME Analytics Platform.

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