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Data Science Notebooks & Platforms

SaaS Browser tracks 270 Data Science Notebooks & Platforms software companies, with 14 added in the past 30 days. The top countries for Data Science Notebooks & Platforms SaaS include United States (33), Germany (5), Canada (5).

Key Data Points for Data Science Notebooks & Platforms

270
Total Software1
14
New (Past 30 Days)2
8
Affiliate Programs3
4
Median Age (Years)4
+147
New (Past 365 Days)5
47
Churned (Past Year)6
24.2%
Annual Churn Rate7
37.4%
Free Trial8

Company Size Distribution9

4
Large (201-1,000)
6.6% of total
9
Mid-Size (51-200)
14.8% of total
48
Small (2-50)
78.7% of total

Most Established Data Science Notebooks & Platforms Companies

Company Employees Domain Rank Founded Added
Plotly 200 57 2013 2025-02-11
LM Studio 200 56 2018 2025-02-28
Posit 500 54 2009 2025-01-23
Dataquest 50 53 2015 2025-02-28
GraphPad 53 2025-02-06
KNIME 500 53 2008 2025-02-09
Paperspace 46 2025-02-10
Deepnote 50 46 2025-02-05
Hex 200 44 2019 2025-02-06
Ray 500 44 2019 2025-02-28

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 270 software products.

Country Count % of Total
United States 33 12.2%
Germany 5 1.9%
Canada 5 1.9%
India 5 1.9%
United Kingdom 4 1.5%
France 3 1.1%
Netherlands 2 0.7%
Norway 2 0.7%
Denmark 1 0.4%
Bangladesh 1 0.4%

SEO & Domain Authority for Data Science Notebooks & Platforms

Median Domain Rank10
12
vs. overall median of 8
Median Referring Domains11
4
vs. overall median of 2

Pricing Data for Data Science Notebooks & Platforms

Median Starting Price (USD)12
$2/mo
Median High Price (USD)13
$39/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
44 / 100 (Medium)

Affiliate Programs in Data Science Notebooks & Platforms

8 Data Science Notebooks & Platforms SaaS companies offer affiliate programs (3.0% of total).

Median Commission15
28%
Commission Type Distribution
One-Time 1
Recurring 3

Most Recently Added Data Science Notebooks & Platforms SaaS

Lattice Added 2026-07-23
Python Playground Added 2026-07-22
Frisky Added 2026-07-22
SubEtha Studio Added 2026-07-22
Clawdeck Added 2026-07-22
Lunapad Added 2026-07-19
Crane Added 2026-07-18
Xalec AI Added 2026-07-17
QuackNinja Added 2026-07-16
PaperPilot Added 2026-07-09

Median Age of Data Science Notebooks & Platforms SaaS Companies

The median Data Science Notebooks & Platforms SaaS company was founded 4.0 years ago (median founding year: 2022).

B2B / B2C Breakdown for Data Science Notebooks & Platforms16

136
Both B2B & B2C
50.4%
134
Business (B2B)
49.6%

Based on 270 companies with consumer type data (100.0% 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.

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Category: Data Science Notebooks & Platforms
Fenn Logo

Fenn

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Fenn is an open-source framework designed to streamline deep learning workflows by automating configuration management, structured logging, experiment tracking, and monitoring, all while allowing full access to underlying PyTorch code. Its main features include YAML-based experiment configuration, automated logging and hyperparameter tracking, seamless integration with dashboards and notification systems for real-time updates, and pre-built training templates to enhance reproducibility and efficiency for machine learning practitioners. This tool addresses common challenges faced by data scientists and ML engineers such as experiment reproducibility, cumbersome configuration management, inconsistent logging, and difficulty monitoring long-running training processes, making it ideal for researchers, developers, and teams working on complex deep learning projects.
Machine Learning Model Deployment
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Neurosnap Logo
Neurosnap offers a suite of online bioinformatics tools designed for researchers to perform complex analyses without the need for coding. With services ranging from protein folding to RNASeq analysis, the platform streamlines workflows, ensuring high accuracy and data security while empowering users to focus on their research.
Pricing: $6.99-$79.99/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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PythonExamples Logo

PythonExamples

This SaaS is trending! We've detected monthly traffic growth.
PythonExamples.org offers a wide range of free tutorials for various programming languages, including Python, Java, and C++. The site provides easy-to-understand guides on concepts, syntax, and examples to help users learn and improve their coding skills.
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Op Logo
This platform streamlines data analysis by integrating spreadsheet functionality, code notebooks, and AI-driven code generation, allowing users to efficiently manipulate and analyze data without extensive programming knowledge. Key features include context-aware code suggestions, seamless synchronization between visual tables and dataframes, and rapid responses to data inquiries, making it ideal for data analysts, researchers, and anyone seeking to simplify their data workflows while minimizing the frustration of coding errors.
Pricing: $35/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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Taichi Logo

Taichi

This SaaS is trending! We've detected monthly traffic growth.
Taichi NeRF is a powerful tool for high-performance parallel programming in Python, designed to help users write fast and efficient code easily. With features like automatic differentiation and spatially sparse data structures, Taichi enables a wide range of applications, from numerical simulations to 3D rendering.
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TetraScience Logo
TetraScience offers a unique Data and AI Cloud designed specifically for scientific applications, transforming raw data into AI-ready formats. The platform enhances productivity and accelerates insights in research, development, and manufacturing, enabling organizations to achieve better scientific outcomes.
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Ray Logo

Ray

Ray is an open-source framework designed to simplify the scaling of Python and AI workloads, including machine learning and reinforcement learning. It offers a variety of tools for data processing, model training, hyperparameter tuning, and model serving, making it easier for developers to manage complex tasks efficiently.
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Keptune Logo
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
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DataSource Logo
DataSource offers a platform for individuals to enhance their data science skills by participating in competitions and solving real-world challenges. Users can earn rewards, gain recognition through Soulbound tokens, and connect with industry experts while tackling various data science problems.
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shinyapps Logo
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
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Frequently Asked Questions

How many Data Science Notebooks & Platforms SaaS companies are there?

SaaS Browser tracks 270 Data Science Notebooks & Platforms software products as of July 2026. 14 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?

14 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 Plotly, LM Studio, Posit, Dataquest, GraphPad. 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: - 4 (6.6%), - 9 (14.8%), - 48 (78.7%).

What is the median domain authority for Data Science Notebooks & Platforms SaaS companies?

The median domain rank for Data Science Notebooks & Platforms SaaS companies is 12, compared to an overall SaaS median of 8. These companies have a median of 4 referring domains.

Which countries have the most Data Science Notebooks & Platforms SaaS companies?

The top countries for Data Science Notebooks & Platforms SaaS are: United States (33), Germany (5), Canada (5), India (5), United Kingdom (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 3.0% of all Data Science Notebooks & Platforms software tracked by SaaS Browser. The median commission rate is 28%.

What is the median age of Data Science Notebooks & Platforms SaaS companies?

The median Data Science Notebooks & Platforms SaaS company was founded 4.0 years ago, with a median founding year of 2022.

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 (50.4%), Business (B2B) (49.6%).

What are the newest Data Science Notebooks & Platforms SaaS companies?

The most recently discovered Data Science Notebooks & Platforms SaaS companies include Lattice, Python Playground, Frisky, SubEtha Studio, Clawdeck. 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

  1. Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
  2. New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
  3. Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
  4. 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.
  5. New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
  6. 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.
  7. Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
  8. Free Trial. The percentage of listed companies in this selection that offer a free trial.
  9. 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.
  10. Median Domain Rank. The median domain rank (0–100) across listed companies, a measure of search-engine authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
  11. Median Referring Domains. The median number of unique referring domains (distinct external sites linking to a company) across listed companies.
  12. Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
  13. Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
  14. 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.
  15. Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
  16. B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.