Low-Code No-Code Platforms (132) - Research Data by Amit Puri

Gumloop

HCL Volt mx

H2O.ai

Convergence of The World's Best Predictive & Generative AI, supercharge human productivity

^{No signup info available}

Makers friendliness high

Own your data, own your prompts, highly flexible solution that can run fully managed in the cloud, or in hybrid or on-premise and air-grapped environments. Danube, a super-tiny, open-weights small language model for on-device and offline applications. Enterprise h2oGPTe synthesizes diverse data and lets you process thousands of documents or web pages–any way you want: inspect, extract, translate, transform, find differences, summarize. Your imagination is the limit.

No-Code AI

Note: We are in the process of evaluating platforms based on our Core Criteria, Extended Criteria, and Code AI Criteria. The ratings for these categories will be published soon. Thank you for your patience as we ensure a thorough and accurate assessment.

Core Criteria

Complexity Management

Cost Efficiency

Customization Flexibility

Integration Capability

Interoperability

Legacy Modernization

Scalability

Cloud Vendor Neutrality

Deployment Control

Rapid Prototyping

Feature Extensibility

UI Visual Development

Workflow Automation

Security Features

Time-to-Market

Extended Criteria

Ecosystem Compatibility

hpaPaaS Vendor Neutrality

Development Speed

No-code Database Support

Component Library Support

AI Performance and Usability

AI Customization and Ethics

Platform Support by Agencies or ISVs

Code AI Criteria

Code Quality

Code Performance

Generated Code Customizability

AI-Assisted Debugging

Code Generation Accuracy

Code Efficiency

Code Readability

Error Rate in Generated Code

Code Security

H2O.ai

Features
Automatic Machine Learning: H2O.ai offers a complete platform for rapidly developing, refining, and deploying high quality machine learning models. Explainable AI: It provides users with transparent, interpretable models, while ensuring simplicity, distribution, accuracy, and runtime. No-Code AI: H2O.ai has the ability to enable no-code development where users can make use of drag and drop method to build AI projects. Model Deployment: Users can easily deploy the AI models developed using H2O to various environments like cloud, hybrid, and on-premises. Use Case Solutions: H2O.ai offers a variety of solutions catered to different sectors such as financial services, healthcare, insurance, marketing, human resources, and security. Time-Series: You can automatically engineer Time-Series specific features. NLP: You can improve your AI projects that require text input with natural language processing support. Robust Algorithms: H2O.ai works with powerful open source algorithms including Generalized Linear Models (GLM), Gradient Boosting Machine (GBM), XGBoost, Multilayer Perceptron (MLP), Distributed Random Forest (DRF), and others. Collaborative Data Science: The platform enhances the collaboration between the data science and business analysis teams by providing a shared workspace. GPU Acceleration: It provides the ability for GPU acceleration for certain algorithms to improve computational performance. AI Transformation: H2O.ai platform provides AI Apps, a business-domain oriented reusable and customizable solution which expedites the AI to production journey. Integration: H2O.ai provides seamless integration with various data platforms including Hadoop, Hortonworks, Cloudera, and MapR. Scalability: The tool has scalable machine learning capabilities that allow users to work with big data seamlessly. Training: H2O.ai offers training and support for users to help them maximize their utilization of the platform. Community Support: There is a large open source community working on the project providing users with resources and support.

Features

Automatic Machine Learning: H2O.ai offers a complete platform for rapidly developing, refining, and deploying high quality machine learning models.
Explainable AI: It provides users with transparent, interpretable models, while ensuring simplicity, distribution, accuracy, and runtime.
No-Code AI: H2O.ai has the ability to enable no-code development where users can make use of drag and drop method to build AI projects.
Model Deployment: Users can easily deploy the AI models developed using H2O to various environments like cloud, hybrid, and on-premises.
Use Case Solutions: H2O.ai offers a variety of solutions catered to different sectors such as financial services, healthcare, insurance, marketing, human resources, and security.
Time-Series: You can automatically engineer Time-Series specific features.
NLP: You can improve your AI projects that require text input with natural language processing support.
Robust Algorithms: H2O.ai works with powerful open source algorithms including Generalized Linear Models (GLM), Gradient Boosting Machine (GBM), XGBoost, Multilayer Perceptron (MLP), Distributed Random Forest (DRF), and others.
Collaborative Data Science: The platform enhances the collaboration between the data science and business analysis teams by providing a shared workspace.
GPU Acceleration: It provides the ability for GPU acceleration for certain algorithms to improve computational performance.
AI Transformation: H2O.ai platform provides AI Apps, a business-domain oriented reusable and customizable solution which expedites the AI to production journey.
Integration: H2O.ai provides seamless integration with various data platforms including Hadoop, Hortonworks, Cloudera, and MapR.
Scalability: The tool has scalable machine learning capabilities that allow users to work with big data seamlessly.
Training: H2O.ai offers training and support for users to help them maximize their utilization of the platform.
Community Support: There is a large open source community working on the project providing users with resources and support.

Gumloop

H2O.ai

Convergence of The World's Best Predictive & Generative AI, supercharge human productivity

HCL Volt mx

Research Data

H2O.ai

Convergence of The World's Best Predictive & Generative AI, supercharge human productivity

^{No signup info available}

Makers friendliness high

Core Criteria

Extended Criteria

Code AI Criteria

Notes - H2O.ai

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H2O.ai

Case studies - H2O.ai

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