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Knime

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Visual workflows for data analytics, predictive AI, and data-aware agent building

Site:https://www.knime.com/
Adicionado em:13 de jul. de 2026
Visitantes mensais:
395.8K
Redes sociais e e-mail:
Data analyticsPredictive AIMachine learningGenerative AIData scienceNo-code analytics
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Informações da ferramenta

O que é Knime?

KNIME is a visual workflow platform for accessing, transforming, analyzing, modeling, deploying, monitoring, and interacting with data and AI solutions. It supports end-to-end data science through connected visual workflows.

Recursos principais

  • Visual workflow builder

    Create workflows by connecting nodes that access, read, transform, merge, split, model, predict, write, and visualize data.

  • Data preparation and analytics

    Clean, filter, transform, and analyze data through sequential visual workflows.

  • Predictive AI and machine learning

    Apply analytic and AI methods and models, including decision trees, deep learning, and other advanced techniques.

  • Generative AI and agent building

    Build generative AI workflows and data-aware agents.

  • Data connectivity

    Connect to data sources through more than 300 connectors.

  • Deployment and monitoring

    Deploy data science solutions through a standard process and monitor analytics and AI models.

  • Enterprise data science

    Support data safety, model validation, monitoring, verification, and explainability for analytics and AI work.

  • Collaboration and reuse

    Share and reuse data science work and create custom KNIME nodes through an open ecosystem.

  • No-code and low-code analytics

    Help business and domain experts work with large datasets and advanced techniques without code.

Casos de uso

  • #1

    Spreadsheet automation

    Automate spreadsheet-based and other manual, repetitive data tasks.

  • #2

    Continuous deployment of data science

    Deploy data science solutions through a standard process and support ongoing monitoring.

  • #3

    Manufacturing analytics

    Use data insights to reduce supply chain disruptions, improve production quality and safety, and increase profitability.

  • #4

    Business and domain analytics

    Enable business and domain experts to access data and derive insights without depending on IT.

  • #5

    Data science and machine learning

    Access AI and machine learning libraries, including large language models, through pre-built integrations and scripting.

  • #6

    Geospatial and image analysis

    Build workflows for geospatial analysis and image analysis.

  • #7

    Enterprise AI governance

    Help commercial teams keep sensitive data safe while validating, monitoring, verifying, and explaining analytics and AI model results.

Melhor para:Business and domain expertsData expertsEnd usersMLOps and ITEducators

Planos de preços

KNIME describes its software as free and open source. The official site also references commercial Pro Plan and Team Plan offerings.

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Perguntas frequentes

What is KNIME used for?
KNIME is used to access, prepare, transform, analyze, model, deploy, monitor, and visualize data and AI solutions through visual workflows.
Does KNIME require coding?
KNIME provides no-code and low-code analytics capabilities for business and domain experts. It also supports scripting and pre-built integrations for data science and machine learning work.
What types of AI does KNIME support?
KNIME supports predictive AI, machine learning, generative AI workflows, and data-aware agent building.
How does KNIME connect to data?
KNIME provides more than 300 connectors for connecting to data sources, including Snowflake, Databricks, Google BigQuery, Microsoft Azure, Amazon S3, Oracle, SAP, and other listed services.
Is KNIME free?
KNIME describes its software as free and open source. Its official site also references commercial Pro Plan and Team Plan offerings.
Who is KNIME for?
KNIME is intended for business and domain experts, data experts, end users, MLOps and IT teams, and educators.

Knime Contato e mídias sociais

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Informações da ferramenta

Modelo de preçosOpen Source
CategoriaAnálise de Dados
Tags
Data analyticsPredictive AIMachine learningGenerative AIData scienceNo-code analytics
IdiomaInglês
Última atualização16 de jul. de 2026
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