Data Science Platforms: best apps and software

Colaboratory

Colaboratory is a cloud-based data analysis tool that enables users to write and run Python code, collaborate, and access computing resources like GPUs within a Jupyter Notebook format.

Abacus.AI

Abacus.AI is a data science platform for building machine learning systems and AI agents, enhancing business operations through predictive modeling and automation.

Kaggle

Kaggle is a platform for data scientists to find datasets, build models, collaborate, and participate in competitions for machine learning challenges.

RunPod

RunPod provides on-demand cloud GPUs for developing, training, fine-tuning, deploying, and scaling AI and machine learning workloads.

Databricks

Databricks is a unified platform for data analytics that integrates data engineering, data science, and business analytics using Apache Spark.

Azure AI Foundry

Azure AI Foundry is a platform for building, hosting, and managing AI applications with pre-built models and custom development options, designed for developers and data scientists.

Lightning AI

Lightning AI is a cloud platform for building and scaling AI models using PyTorch, with features for collaboration, training, and debugging.

Microsoft Fabric

Microsoft Fabric is an integrated platform for data management and analytics, providing tools for data engineering, real-time insights, and collaboration across enterprises.

Deepnote

Deepnote is a collaborative data science notebook for teams, allowing real-time analysis, sharing, version control, and integration with various data sources.

SAS

The SAS app provides advanced analytics and AI tools for data management and business intelligence, supporting decision-making across various industries.

Paperspace

Paperspace is a cloud platform for building, training, and deploying machine learning models, offering high-performance GPU infrastructure and collaborative tools.

JetBrains Datalore

JetBrains Datalore is a collaborative platform for data science, supporting Jupyter notebooks and allowing code execution, data analysis, and sharing insights.

NVIDIA NGC

NVIDIA NGC is a cloud platform providing optimized software and managed services for AI, deep learning, HPC, and model management, supporting various GPU types.

火山引擎

火山引擎 (VolcEngine) is a cloud service platform offering AI model development, deployment, and management tools for data processing and analysis.

Wolfram Cloud

Wolfram Cloud is a platform for computation, data science, and AI, integrating a notebook interface and Wolfram Language for data analysis, visualization, and machine learning.

H2O.ai

H2O.ai is an open-source platform for machine learning and AI, providing tools for building models efficiently across various sectors.

AI Workflow Hub

Centralizes and automates AI workflows: build, run, share, and version reusable templates, integrate with enterprise systems, and scale distributed processing for team collaboration.

Kumu

Kumu allows users to organize complex data into visually appealing relationship maps for easier understanding and analysis.

Dataiku

Dataiku is a platform for managing and deploying data analytics and AI projects, enabling users to prepare data, build models, and generate insights effectively.

DataRobot

DataRobot is an enterprise AI platform that automates machine learning workflows, enabling users to build, deploy, and manage predictive models efficiently.

Altair One

Altair One is a platform for data analytics and simulation, offering tools for data preparation, collaboration, and real-time processing to support decision-making.

Posit Cloud

Cloud-based environment to create, run, share, and deploy R and Python data products (R Markdown, Shiny, Plumber, static sites) with access control, scheduling, and resource management.

Arkor

Arkor helps developers prepare datasets, train open-weight models on managed GPUs, evaluate them, and deploy them through OpenAI-compatible APIs.

Neural Designer

Neural Designer is software for developing and deploying machine learning models, allowing users to build, train, and evaluate neural networks without programming expertise.

Saturn Cloud

Saturn Cloud is a cloud-based ML platform for data science that enables users to develop, deploy, and manage data pipelines with flexible resources and integration tools.

RapidMiner

RapidMiner is a data science platform for data preparation, machine learning, and predictive analytics, suitable for various industries and user skill levels.

Banana

Banana app enables instant deployment of machine learning models using serverless GPUs for training and inference.

KNIME

KNIME is an open-source data analytics platform that enables users to create data workflows and machine learning models using a visual interface, without extensive coding.

Qwak

Qwak is an AI platform for managing the lifecycle of machine learning models, enabling data transformation, model training, deployment, and monitoring in one place.

Zerve

AI-assisted data workspace for exploration, cleaning, analysis, visualization, ML model building and deployment via chat or code, with integrations to external data sources and compute.

Spell

Spell app allows users to delegate tasks to AI agents that automate work using GPT-4 technology.

Crun AI

Provides a single API to access 100+ AI models for video, image, and audio processing, enabling developers to integrate multiple vision and audio models into applications.

TrueFoundry

TrueFoundry is a PaaS for machine learning teams to build, deploy, and manage AI applications efficiently on their own cloud or on-premise infrastructure.

Mineo

Mineo is a platform for exploring data and creating Python notebooks with features like SQL integration, no-code widgets, version control, and collaboration tools.

Model ML

Model ML is an AI tool for financial research that analyzes documents, transcribes calls, queries data vendors, and provides real-time information integration.

Datature

Datature is a no-code platform for managing datasets and training computer vision models, facilitating collaboration and deployment for various industries.

Vertical AI

Vertical is a no-code platform for fine-tuning AI models using decentralized computing, enabling users to train, deploy, and monetize models through a marketplace.

Deepengine

Deepengine identifies vulnerabilities, assesses risks, and improves security visibility, helping users minimize their external attack surface at no cost.

Synta

Build, edit, and manage n8n workflows with AI to help teams create and refine automations faster.

Teradata ClearScape Analytics

Provides in-database tools to build, train, deploy, monitor, and manage ML/AI models at scale, supporting common model formats, AutoML, MLOps workflows, and cloud/lake integration.

BigML

BigML is a cloud-based platform that simplifies machine learning for various tasks, allowing users to analyze data and build predictive models with ease.

Moonglow

Moonglow links local Jupyter notebooks to remote cloud computing, enabling machine learning researchers and data scientists to scale experiments easily.

Pachyderm

Pachyderm is a platform that simplifies MLOps by managing machine learning model deployment, data versioning, and workflow execution in cloud and on-premise environments.

NuMind

NuMind is an AI tool that enables users to create custom machine learning models for text processing tasks like analysis and moderation, accessible to both experts and non-experts.

MosaicML

MosaicML is a platform for building, training, and deploying domain-specific AI models, focusing on data security, model governance, and supporting complex AI workflows.

NeuroBlock

No-code platform to prepare data, train, and deploy custom AI and language models from your data; run models locally, on servers or mobile, or via cloud, with full model ownership.

Ormind

Turns data from the web, documents, and 1000+ apps into interactive, mobile-friendly websites and reports using AI, and provides an editor to refine and share them.

Dataoorts

Dataoorts is a GPU cloud platform designed for AI development, offering affordable GPU instances, custom clusters, notebooks, and email verification tools.

Pioneer

Platform for fine-tuning open-source language models with automated data generation, training, evaluation, deployment, and ongoing improvement from live inference data.

Teradata Vantage

Teradata Vantage consolidates enterprise data for analysis, runs SQL and machine learning workloads at scale, and supports on-premises, hybrid, and public cloud deployments.

slai

Slai is a machine learning platform that allows users to connect data sources, train models using GPUs, and deploy them to APIs quickly.

NextBrain AI

NextBrain AI is a no-code platform enabling businesses to implement machine learning solutions, offering data integration, insights, and computer vision capabilities for operational efficiency.

Verta

Verta is a platform that helps organizations manage the entire lifecycle of machine learning models, from development to deployment and governance.

Voltage Park

On-demand and reserved bare-metal GPU cloud for developing, training, and deploying AI and computer vision models, using NVIDIA HGX H100 GPUs and scalable, secure pipelines.

QuData

QuData app specializes in conversational AI, natural language understanding, image analysis, and customer behavior analysis for various business projects.

MLJAR

MLJAR is a data science platform that simplifies machine learning by automating model selection and deployment, with tools for coding, data exploration, and user support.

Picsellia

Picsellia is an AI development platform for image processing, enabling users to manage data, track experiments, deploy models, and monitor performance effectively.

Elham.ai

AutoML platform that automates data preprocessing, model training, evaluation, and deployment for predictive analytics on cloud or on‑premise, requiring minimal technical expertise.

ClearML

ClearML is an open-source AI platform that streamlines the creation, deployment, and management of machine learning workflows for enterprises.

Impulse

An AI platform for building, deploying, and using predictive models from plain-English prompts, with dataset upload, monitoring, retraining, and API access.