Data Profiling, Quality & More for Public Datasets by Data Oculus
Provides deeper exploratory analysis to Data Scientists & Engineers for all public datasets on Kaggle and Google cloud.
As of May 2026, Data Profiling, Quality & More for Public Datasets by Data Oculus has 25 users and a 4.00/5 rating from 3 reviews in the Productivity category.
Usersdown 10.7 percent−10.7%
25
25
Ratingno change0%
4.00
3 reviews
Reviewsno change0%
3
Version
1.5.7
Manifest V3
History
4 snapshotsTracking since Apr 20, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 20, 2026 | 28 | 4.00 | 3 | 1.5.7 |
| May 5, 2026 | 30 | 4.00 | 3 | 1.5.7 |
| May 17, 2026 | 23 | 4.00 | 3 | 1.5.7 |
| May 30, 2026 | 30 | 4.00 | 3 | 1.5.7 |
| Now | 25 | 4.00 | 3 | 1.5.7 |
Permissions & access
- Permissions
- activeTabtabsstoragescripting
- Host access
- https://console.cloud.google.com/bigquery/*, https://console.cloud.google.com/dataplex/*, https://www.kaggle.com/datasets/*, https://api.dataoculus.app/*
Screenshots
About
Do you use public datasets? Then this extension is built to help you save time !. How to use (video): https://app.arcade.software/share/8y714Jv7tRFgQTLWHnhD Introducing Data Oculus - A data (watch) dog for public datasets and designed to provide full quality report for public dataset that helps to do EDA for data scientists. It's a complete 360° data quality platform that provides detail insights on profiling and data quality. (top features described below), empowering data scientists and engineers to easily evaluate and extract maximum value from every public dataset. No need to register new account, just sign-in with your Gmail to login and access all features of the app for free. How Data Oculus works? : Data Oculus leverages advanced algorithms and machine learning techniques to efficiently profile and analyze public datasets, offering a comprehensive overview of their structure, quality, and characteristics. From basic statistics to complex patterns, from missing value maps to dynamic bins histograms, this extension unveils hidden insights and potential issues within the data, enabling data scientists to make informed decisions and drive impactful analyses. Gone are the days of tedious manual data exploration and guesswork. Top Features: Dynamic Histograms with eCDF: Choose your own bins! Visualize data distributions with any number of bins without re-processing data, check it out to believe it! Missing Value Distributions: Visualize missing values across the dataset and column over time! Cardinality: Quickly understand unique, duplicates, distinct & more; even distinct duplicates! Complete Data Profiling: dataset summary, column metadata, statistics, distribution plots, quality metrics & more ! Comprehensive Data Quality Metrics: All DQ dimensions: Completeness, Validity, Freshness, Cardinality. (Accuracy & Consistency coming soon...) to assess dataset quality and its fitness for analysis. Custom Rules & Data Contracts: Most comprehensive rule engine for your custom rules on the dataset, and ability to define data contracts as per your requirements of data quality. Customize profiling parameters and thresholds to focus on specific aspects of the data. Collaboration & Sharing: Share data profiles and insights with colleagues and collaborators with sharable links. Data Oculus empowers data scientists to unlock the full potential of public datasets by providing comprehensive data profiling capabilities right at their fingertips. Whether you're exploring new datasets, validating hypotheses, or preparing data for analysis, this extension is your trusted companion for data observability and insights-driven decision-making.
Technical
- Version
- 1.5.7
- Manifest
- V3
- Size
- 18.69KiB
- Min Chrome
- 88
- Languages
- 1
- Featured
- No
Metadata
- ID
- njbplbbjpeoaajldhihhmfonjlioohep
- Developer ID
- udc7b55743b0600073d8f5e6760905eda
- Developer Email
- [email protected]
- Created
- Feb 27, 2024
- Last Updated (Store)
- Jun 17, 2025
- Last Scraped
- May 30, 2026
- Website
- dataoculus.app
- Support URL
- https://dataoculus.app/support
- Privacy Policy
- https://dataoculus.app/privacypolicy
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