List of 8 Data Science Notebooks & Platforms SaaS with Affiliate Programs
There are 8 SaaS or software affiliate programs in Data Science Notebooks & Platforms. The median pricing is between - . The median domain rank is between 25 and 35. Typical affiliate commissions range from 25% to 48%. 25% offer one-time commissions and 75% offer recurring commissions. SaaS Browser scans the internet to find all SaaS, and validates affiliate programs every month to ensure freshness. View all 32,397 SaaS Affiliate Programs
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This online Python environment allows users to write, execute, and share Python code directly within a web browser without any installation, supporting seamless coding, debugging, and collaboration. Its main features include syntax highlighting, auto-completion, automatic package installation (such as NumPy, Pandas, Matplotlib), AI-powered assistance for code explanations and debugging, access to local files, interactive tutorials and challenges, and integration of numerous data analysis, scientific computing, statistical, and machine learning libraries, making it ideal for developers, data analysts, students, and researchers working on data manipulation, visualization, machine learning, and scientific computing tasks.
Pricing:
$0-$99/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
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Commission:
25%
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This platform functions as an intelligent data analysis and decision-making tool that transforms complex datasets into actionable insights by leveraging advanced artificial intelligence, natural-language processing, and structured data reasoning. Its main features include an infinite, customizable workspace for visualizing and organizing data, integrated applets for instant reporting and computations, seamless system and database integrations for real-time updates, and cross-device accessibility to ensure insights are available anytime, anywhere; it addresses challenges related to data integration, real-time analysis, and strategic decision-making, making it ideal for business analysts, data scientists, executives, and organizations seeking to optimize performance through smarter data-driven strategies.
Pricing:
$99-$5800/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
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Commission:
100%
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This platform enables users to integrate advanced AI models directly into a familiar spreadsheet environment, facilitating data automation, enrichment, and analysis without requiring coding skills. Its main features include customizable AI agents, support for web scraping, real-time data updates via webhooks, CSV import/export, and flexible pay-per-use or subscription plans tailored for individuals, professionals, and businesses to streamline workflows, solve data processing challenges, and scale operations effectively. It is ideal for professionals, data analysts, automation enthusiasts, and small to large organizations seeking efficient, accurate, and scalable AI-powered data management and automation solutions.
Pricing:
$8-$160/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
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marimo
This SaaS is trending! We've detected monthly traffic growth.This open-source reactive notebook environment transforms data analysis, machine learning, and SQL querying by providing an AI-native, Python-based platform that ensures reproducibility, seamless collaboration, and easy sharing as web apps or scripts. Its main features include Git-friendly version control, automatic dependency management, interactive widgets like sliders and plots, built-in SQL support for multiple databases, and AI-assisted coding with inline chat, making it ideal for developers, data scientists, researchers, and educators seeking an efficient, versatile, and collaborative environment for computational projects.
Data Science Notebooks & Platforms
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Keptune offers an advanced AI-driven platform for seamless data analysis of Excel and CSV files, enabling users to ask questions, generate charts, and run statistical tests without the need for coding. With features designed to clean, transform, and visualize data, Keptune empowers users to uncover insights and make informed decisions efficiently.
Pricing:
$0-$20/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
The category of this listing.
Commission:
25%
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This AI-powered, modern development environment for data work enables end-to-end workflows from data exploration to deployment, letting teams generate insights, build models and APIs, and deploy interactive apps or scheduled pipelines through chat or code. It combines an AI-native, reproducible notebook with multi-language support, Git integration, and scalable deployments on cloud or on-premises, running per-cell computations on Lambda, Fargate, GPU, or Kubernetes, while enabling collaboration, automation, and governance across dashboards, APIs, jobs, and pipelines for data scientists, engineers, analysts, and product teams.
Pricing:
$0-$50/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
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Data Sweep offers ready-to-use datasets designed to streamline the research process, allowing researchers to focus on uncovering valuable insights rather than data processing. With features like semantic search, a reliable trust score, and automated dataset cleaning and merging, the platform empowers users to access high-quality, up-to-date data effortlessly.
Pricing:
$10-$20/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Data Science Notebooks & Platforms
The category of this listing.
Commission:
30%
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This platform facilitates data scientists in leveraging familiar open-source tools while ensuring centralized management, robust security, and comprehensive support within organizational settings. Key features include the ability to share dynamic data insights and applications, maintain control over various coding environments, and manage secure package repositories, effectively addressing challenges related to collaboration, data governance, and workflow efficiency for professionals in data science and analytics.
Data Science Notebooks & Platforms
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