KNIME Analytics Platform
by KNIME AG
An open-source desktop platform for visual data science. Users build node-based workflows for data access, preparation, analysis, machine learning, visualization, and generative AI integrations, with optional coding in Python and R.
Why Abandoned
KNIME continues to publish Analytics Platform releases and maintains current product, documentation, download, and source-code pages. Version 5.9 was announced in December 2025.
💵 Pricing & access
- Pricing model
- Not documented
- Starting at
- Not documented
- Official site
- Visit KNIME Analytics Platform →
🩺 Health Signals
- HTTP Status
- 200
- Response
- —
- SSL
- —
- Confidence
- 98%
- Domain expires
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- Last content change
- —
- Last tweet
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- API status
- —
📅 Timeline
KNIME released publicly
KNIME's history page dates the first public release of KNIME to July 2006, after development began at the University of Konstanz.
€20 million investment announced
KNIME announced a €20 million investment from Invus to support continued development and commercial growth.
KNIME Analytics Platform 5.0 released
KNIME introduced a redesigned user interface and a new browser-based workflow editor while retaining access to the classic interface.
$30 million investment announced
KNIME announced a $30 million investment from Invus to accelerate product development, hiring, and growth.
KNIME Analytics Platform 5.9 released
KNIME announced version 5.9 with expanded AI-assisted workflow building, deployment improvements, reporting updates, and broader data and model connectivity.
🔄 Alternatives to KNIME Analytics Platform
Hugging Face
🟢ActiveThe GitHub of machine learning — hosting models, datasets, and AI applications.
n8n
🟢Activen8n is a source-available workflow automation platform for connecting apps, APIs, databases, and AI models. It supports visual workflow design, custom code, self-hosting, and a managed cloud service.
Rows AI
🟢ActiveAI features built into the Rows spreadsheet platform for generating formulas, analyzing and transforming data, creating tables, and answering spreadsheet questions with natural-language prompts.
UiPath Autopilot
🟢ActiveUiPath Autopilot is a family of generative-AI assistants embedded in UiPath’s automation platform. It helps business users and developers create automations, work with documents, and interact with enterprise processes using natural language.
🪦 Other dead No-code AI tools
Motion AI
🟡Acquired / MergedMotion AI was a no-code platform for building and deploying conversational bots across websites, messaging services, email, and SMS. HubSpot acquired the company in 2017 and incorporated its technology into HubSpot Conversations.
Spell
🟠Possibly DeadSpell was a no-code platform for building and running applications powered by generative AI models. Its website now redirects to a closure notice stating that the service has shut down and thanking users.
Fritz AI Studio
🟠Possibly DeadFritz AI Studio was a browser-based, no-code environment from Fritz AI for creating and managing datasets, training custom computer-vision models, and deploying them to mobile apps through the Fritz SDK.
MonkeyLearn
🟡Acquired / MergedMonkeyLearn was a no-code text analytics platform for classifying, extracting, and visualizing text from sources such as surveys and support tickets. Medallia acquired the company in 2022 and incorporated its technology into Medallia products.
❓ Frequently Asked Questions
What is KNIME Analytics Platform used for?
KNIME Analytics Platform is used to create visual workflows for accessing, cleaning, transforming, analyzing, modeling, and visualizing data. It supports machine learning, automation, generative AI integrations, and optional Python, R, and SQL code.
Is KNIME Analytics Platform free and open source?
Yes. KNIME Analytics Platform is free and open source under the GNU General Public License version 3. KNIME also sells commercial software for collaboration, governance, automation, and deployment.
Is KNIME a no-code AI tool?
KNIME can be used as a no-code or low-code AI and analytics tool because workflows are assembled from configurable nodes. Advanced users can also add Python, R, Java, JavaScript, and SQL where needed.
Can KNIME Analytics Platform run generative AI workflows?
Yes. KNIME provides integrations and nodes for working with large language models, vector stores, embeddings, and AI services. Available capabilities depend on installed extensions, model providers, credentials, and deployment setup.
What are the best alternatives to KNIME Analytics Platform?
From this catalogue, relevant alternatives include Hugging Face for machine-learning models and tooling, Rows AI for spreadsheet-based analysis, n8n for visual workflow automation, and UiPath Autopilot for enterprise automation assisted by AI. They are not exact feature-for-feature replacements.