Data Science Notebooks & Platforms
SaaS Browser tracks 284 Data Science Notebooks & Platforms software companies, with 18 added in the past 30 days. The top countries for Data Science Notebooks & Platforms SaaS include United States (27), India (6), United Kingdom (5).
Key Data Points for Data Science Notebooks & Platforms
284
Total Software1
18
New (Past 30 Days)2
8
Affiliate Programs3
5
Median Age (Years)4
+157
New (Past 365 Days)5
54
Churned (Past Year)6
25.6%
Annual Churn Rate7
39.1%
Free Trial8
Company Size Distribution9
3
Large (201-1,000)
5.1% of total
8
Mid-Size (51-200)
13.6% of total
48
Small (2-50)
81.4% of total
Most Established Data Science Notebooks & Platforms Companies
| Company | Employees | Domain Rating | Founded | Added |
|---|---|---|---|---|
| shinyapps | — | 91 | — | 2025-02-11 |
| Plotly | 200 | 87 | 2013 | 2025-02-11 |
| Posit | 500 | 84 | 2009 | 2025-01-23 |
| Pygments | — | 81 | — | 2025-02-28 |
| LM Studio | 200 | 76 | 2018 | 2025-02-28 |
| GraphPad | — | 73 | — | 2025-02-06 |
| KNIME | 500 | 72 | 2008 | 2025-02-09 |
| Birds Canada | — | 72 | — | 2026-01-24 |
| Dataquest | 50 | 69 | 2015 | 2025-02-28 |
| Deepnote | 50 | 68 | — | 2025-02-05 |
Top 10 Countries for Data Science Notebooks & Platforms SaaS
The following countries represent where most Data Science Notebooks & Platforms SaaS companies are headquartered, based on our data for 284 software products.
| Country | Count | % of Total |
|---|---|---|
| United States | 27 | 9.5% |
| India | 6 | 2.1% |
| United Kingdom | 5 | 1.8% |
| Germany | 5 | 1.8% |
| Canada | 4 | 1.4% |
| France | 3 | 1.1% |
| Spain | 2 | 0.7% |
| Netherlands | 2 | 0.7% |
| Switzerland | 2 | 0.7% |
| Luxembourg | 2 | 0.7% |
SEO & Domain Authority for Data Science Notebooks & Platforms
Median Domain Rating10
24
vs. overall median of 14
Pricing Data for Data Science Notebooks & Platforms
Median Starting Price (USD)12
$2/mo
Median High Price (USD)13
$42/mo
Market Saturation for Data Science Notebooks & Platforms
This score is computed from a combination of total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence.
Saturation Score14
55 / 100 (Medium)
Affiliate Programs in Data Science Notebooks & Platforms
8 Data Science Notebooks & Platforms SaaS companies offer affiliate programs (2.8% of total).
Median Commission15
30%
Commission Type Distribution
One-Time
1
Recurring
3
Most Recently Added Data Science Notebooks & Platforms SaaS
NotesQL
Added 2026-10-30
Satinash
Added 2026-10-30
KernelQuad
Added 2026-10-30
Plexii
Added 2026-10-29
Codebase Memory
Added 2026-10-26
Excel Data for Practice
Added 2026-10-23
LearnR
Added 2026-10-19
Sapien
Added 2026-10-18
Custom Widgets
Added 2026-10-17
AI Curator
Added 2026-10-16
Median Age of Data Science Notebooks & Platforms SaaS Companies
The median Data Science Notebooks & Platforms SaaS company was founded 5.0 years ago (median founding year: 2021).
B2B / B2C Breakdown for Data Science Notebooks & Platforms16
153
Both B2B & B2C
55.0%
125
Business (B2B)
45.0%
Based on 278 companies with consumer type data (97.9% of total).
SaaS Discovery Trend for Data Science Notebooks & Platforms
Monthly SaaS discovery count for Data Science Notebooks & Platforms compared to its share of all SaaS discovered. A rising percentage indicates this segment is growing faster than the overall market.
Discover Data Science Notebooks & Platforms SaaS
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This platform enables users to effortlessly deploy interactive web applications built with R's Shiny framework, eliminating the need for server management or complex configurations. Key features include secure environments for each application, scalable resources to accommodate varying user demands, and multiple subscription plans that cater to different levels of usage and support, making it ideal for data scientists, researchers, and developers looking to share their work online.
Pricing:
$0-$349/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.
Pygments is a syntax highlighter that makes source code look nice in various applications like code hosting and forums. It supports 597 languages and offers different output formats, making it easy to use as both a command-line tool and a library.
Data Science Notebooks & Platforms
The category of this listing.
GraphPad offers a comprehensive scientific R&D platform designed for AI-powered data management and workflow automation, catering to the needs of researchers across various fields. The platform features advanced statistical analysis and graphing software, bioinformatics tools, and an electronic lab notebook, all aimed at enhancing productivity and collaboration in scientific research.
Pricing:
$50/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.
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
The category of this listing.
This innovative data workspace enhances collaboration and productivity for data professionals by integrating various programming languages and tools into a single platform. Key features include AI-driven code generation, interactive dashboards, seamless integration with multiple data sources, and robust security measures, addressing challenges in data analysis, model training, and team collaboration for users ranging from data scientists to business analysts.
Pricing:
$0-$39/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.
TheQueryLab
The owner has verified their profile information displayed on this page.
This platform offers structured learning pathways, interactive SQL challenges, and competitive hackathons designed to help aspiring data analysts and professionals develop practical, production-grade SQL skills for real-world business problems. Its main features include curated problem sets, leaderboards for ranked competition, and comprehensive training designed to prepare users for interviews and high-paying data roles, making complex data analysis accessible for students, career switchers, and analytics enthusiasts. It addresses the need for hands-on, practical experience in data querying and analysis, solving the gap between theoretical knowledge and real-world application, and is ideal for individuals seeking to build job-ready skills for analytics careers.
Pricing:
$9-$59/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.
An AI-powered notebook assistant understands the structure of your data science notebooks, suggests Python code, executes cells, and translates results into natural language explanations to speed insights and reduce manual toil. Its capabilities include continuous context awareness, automatic cell execution and debugging, natural-language queries to generate charts, functions, and reports, and seamless integration across multiple notebook environments and code editors, making it ideal for data scientists, researchers, students, and analysts who want to automate repetitive tasks and accelerate analysis.
Pricing:
$0-$60/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.
Tabularis
This SaaS is trending! We've detected monthly traffic growth.
Tabularis functions as an open-source, multi-database desktop SQL workspace designed to streamline database management, querying, and analysis across PostgreSQL, MySQL/MariaDB, and SQLite platforms, with features supporting AI integration and extensibility. Its main features include a modern syntax-highlighted SQL editor with multi-tab support, visual query builder for composing queries graphically, interactive execution plan visualization, reusable SQL notebooks with markdown and charts, and robust security options such as SSH tunneling and local credential storage, making it ideal for developers, data analysts, and database administrators seeking a secure, extensible, and AI-compatible environment for database development and maintenance.
Data Science Notebooks & Platforms
The category of this listing.
FlowStorm enhances Clojure and ClojureScript interactive programming with powerful debugging tools and customizable data visualizations. It is free, open-source, and designed to work with any editor or IDE, making it a versatile companion for developers seeking to improve their coding experience.
Pricing:
$0/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.
This tool transforms Clojure namespaces into interactive notebooks, enhancing the development experience by providing a rich environment for data exploration and visualization. Key features include support for incremental computation, customizable viewers, Markdown integration, and the ability to produce static HTML pages, making it ideal for data scientists, educators, and developers who seek to create dynamic, interactive documents while leveraging the power of Clojure's ecosystem.
Data Science Notebooks & Platforms
The category of this listing.
Necto
This SaaS is trending! We've detected monthly traffic growth.
A unified, AI-powered workspace brings together documents, tables, AI-generated images, and conversations with AI models in one place, eliminating the need to switch between separate applications. Its features include sending a single prompt to several AI models, side-by-side result comparison, customizable blocks and layouts, color-coded context linked to specific models, and strong security and compliance controls, all designed for teams, researchers, educators, creatives, and learners seeking to streamline work, enhance insights, and improve collaboration across research, analytics, and creative workflows.
Pricing:
$0-$89/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.
This platform facilitates the analysis of biomedical data by allowing users to perform complex tasks without the need for extensive coding knowledge. Key features include natural language processing for task delegation, automated quality control and statistical analysis, customizable workflows, and support for various data types, making it ideal for bench scientists and bioinformaticians seeking to streamline their research processes and enhance productivity.
Pricing:
$50-$400/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.
Turntable is a collaborative workspace designed for developing, deploying, and monitoring reporting stacks efficiently, significantly reducing project timelines. With features like a powerful data IDE, automated cataloging, and real-time collaboration, it empowers data teams to manage their workflows seamlessly while ensuring data quality and lineage tracking.
Data Science Notebooks & Platforms
The category of this listing.
This open-source, self-hosted memory system for AI agents provides persistent and accurate long-term storage of factual information, enabling agents to maintain and update their beliefs as new data arrives, thereby addressing issues of outdated or conflicting knowledge. Its key features include belief lifecycle management, multi-signal recall, integration with database systems like PostgreSQL and vector search technologies, and compatibility with Docker or Python, making it suitable for developers and organizations aiming to improve AI agent reliability, especially in complex, evolving environments where accurate memory and fact reconciliation are essential.
Data Science Notebooks & Platforms
The category of this listing.
This platform provides an interactive environment designed to enhance data science, data engineering, and artificial intelligence skills through hands-on practice, real-world challenges, and comprehensive learning resources. It offers features such as coding exercises in Python, PySpark, and SQL, quizzes to assess knowledge, industry insights, expert-curated content, and role-based tutorials tailored to various career paths, all aimed at solving the problem of rapidly acquiring technical proficiency in modern data technologies for professionals, students, and career changers seeking to stay current with industry trends.
Data Science Notebooks & Platforms
The category of this listing.
This platform transforms traditional spreadsheet tools into interactive web applications that can be easily shared and reused, enhancing user engagement and accessibility. Key features include secure server-side calculations, seamless integration with various websites, and the ability to create dynamic, mobile-compatible calculators, making it ideal for professionals such as personal finance coaches, educators, and real estate agents who seek to streamline their workflows and share expertise without exposing sensitive formulas.
Pricing:
$9-$45/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.
This tool is designed to facilitate version control, management, and orchestration of large-scale data and machine learning workflows, enabling seamless tracking of data, models, and experiment dependencies. It offers features such as integration with Git and compatibility without it, handling terabytes of data across millions of files, creating complex data pipelines based on files, directories, regex, and hyperparameters, and supporting collaboration, experimentation, and deployment across various programming languages and platforms. It addresses challenges faced by data scientists, machine learning engineers, and data engineers in managing evolving datasets, maintaining reproducibility, ensuring data-model traceability, and streamlining the development and deployment of AI and ML models.
Data Science Notebooks & Platforms
The category of this listing.
GoFigr is a tool that helps users easily capture and manage scientific figures, ensuring that all relevant data and code are linked and accessible. It integrates seamlessly with existing Python and R workflows, allowing for real-time collaboration and reproducibility without the need for migration.
Pricing:
$199/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.
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
The category of this listing.
This platform serves as a comprehensive toolbox for developing artificial intelligence models within a collaborative ecosystem, specifically designed for researchers and institutions in the European Open Science Cloud. Key features include interactive development environments like Jupyter and VSCode, federated learning capabilities for secure model training, seamless data storage integration, automated model provenance tracking, and effortless deployment of models as scalable services, addressing challenges in AI model development, collaboration, and resource management for academic and research communities.
Data Science Notebooks & Platforms
The category of this listing.
* Some or all parts of this page may be AI generated, so please verify any critical information independently.
Frequently Asked Questions
How many Data Science Notebooks & Platforms SaaS companies are there?
SaaS Browser tracks 284 Data Science Notebooks & Platforms software products as of November 2026. 18 new Data Science Notebooks & Platforms SaaS companies have been added in the past 30 days.
How many new Data Science Notebooks & Platforms SaaS companies are added each month?
18 new Data Science Notebooks & Platforms SaaS companies have been added to SaaS Browser in the past 30 days. Our proprietary crawling infrastructure continuously discovers new software products.
What are the most established Data Science Notebooks & Platforms SaaS companies?
The most established Data Science Notebooks & Platforms SaaS companies by domain authority include shinyapps, Plotly, Posit, Pygments, LM Studio. These companies represent the highest domain rank scores in the Data Science Notebooks & Platforms category.
What is the typical company size for Data Science Notebooks & Platforms SaaS?
Among Data Science Notebooks & Platforms SaaS companies with employee data, the size distribution is: - 3 (5.1%), - 8 (13.6%), - 48 (81.4%).
What is the median domain authority for Data Science Notebooks & Platforms SaaS companies?
The median domain rating for Data Science Notebooks & Platforms SaaS companies is 24, compared to an overall SaaS median of 14.
Which countries have the most Data Science Notebooks & Platforms SaaS companies?
The top countries for Data Science Notebooks & Platforms SaaS are: United States (27), India (6), United Kingdom (5), Germany (5), Canada (4). These represent the largest concentrations of Data Science Notebooks & Platforms software companies globally.
What percentage of Data Science Notebooks & Platforms SaaS companies offer affiliate programs?
8 Data Science Notebooks & Platforms SaaS companies offer affiliate programs, representing 2.8% of all Data Science Notebooks & Platforms software tracked by SaaS Browser. The median commission rate is 30%.
What is the median age of Data Science Notebooks & Platforms SaaS companies?
The median Data Science Notebooks & Platforms SaaS company was founded 5.0 years ago, with a median founding year of 2021.
Are Data Science Notebooks & Platforms SaaS companies mostly B2B or B2C?
Based on available data, Data Science Notebooks & Platforms SaaS companies break down as follows: Both B2B & B2C (55.0%), Business (B2B) (45.0%).
What are the newest Data Science Notebooks & Platforms SaaS companies?
The most recently discovered Data Science Notebooks & Platforms SaaS companies include NotesQL, Satinash, KernelQuad, Plexii, Codebase Memory. SaaS Browser continuously discovers and indexes new software products using proprietary crawling infrastructure.
About SaaS Browser
SaaS Browser is the largest, most up-to-date SaaS database on the internet, the ultimate prospecting and research tool for SaaS companies.
We discover emerging tools weeks after launch, before they appear in Apollo, ZoomInfo, or other databases. Our purpose-built platform exclusively tracks real software products with verified data, unlike generic prospecting tools polluted with agencies, consultancies, and outdated listings.
From Fortune 500 enterprises to bootstrapped startups launching this week, if it's SaaS, we track it.
How these numbers are calculated
- Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
- New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
- Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
- Median Age (Years). The median age, in years, of companies in this selection, based on founding year. The median is the middle value, so half are older and half younger.
- New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
- Churned (Past Year). Companies published within the last year that are no longer listed - they went offline, were removed, or stopped passing our quality checks.
- Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
- Free Trial. The percentage of listed companies in this selection that offer a free trial.
- Company Size Distribution. Distribution of companies by employee count: solo (1), small (2–50), mid (51–200), large (201–1,000), enterprise (1,000+). Percentages are of companies with employee data.
- Median Domain Rating. The median domain rating (0–100) across listed companies, our measure of link authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
- Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
- Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
- Saturation Score. A 0–100 market saturation score combining total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence. Higher means more competitive.
- Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
- B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.
