Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CSViewer is a quick and free desktop application for Windows that allows users to view and analyze extensive delimited text and binary files, including formats like CSV, TSV, Parquet, and QVD. The application can effortlessly load millions of rows in just a few seconds and provides sophisticated filtering options alongside immediate profiling features, including aggregate functions, null counts, and outlier identification. Users can easily export their filtered datasets, save their analysis configurations, and create visualizations through charts and cross-tabulations. With a focus on facilitating exploratory data analysis without relying on cloud services, CSViewer ensures that all aggregates and visual elements refresh instantaneously whenever a filter is applied or modified. Each column's statistics, including null counts, unique values, and minimum or maximum values, are readily available for review. Additionally, users have the option to export their selected rows into a new file for sharing purposes or further analysis in other applications. The software also supports converting files between different formats, such as transforming CSV files into QVD format. When users choose to export to the native .dset format, their data is preserved alongside any applied filters and visualizations, ensuring that their work can be conveniently revisited later. This comprehensive approach streamlines data handling and enhances the user experience.
Description
Quadratic empowers your team to collaborate on data analysis, resulting in quicker outcomes. While you may already be familiar with spreadsheet usage, the capabilities offered by Quadratic are unprecedented. It fluently integrates Formulas and Python, with SQL and JavaScript support on the horizon. Utilize the programming languages that you and your colleagues are comfortable with. Unlike single-line formulas that can be difficult to decipher, Quadratic allows you to elaborate your formulas across multiple lines for clarity. The platform conveniently includes support for Python libraries, enabling you to incorporate the latest open-source tools seamlessly into your spreadsheets. The last executed code is automatically returned to the spreadsheet, and it accommodates raw values, 1/2D arrays, and Pandas DataFrames as standard. You can effortlessly retrieve data from an external API, with automatic updates reflected in Quadratic's cells. The interface allows for smooth navigation, permitting you to zoom out for an overview or zoom in to examine specifics. You can organize and traverse your data in a manner that aligns with your thought process, rather than conforming to the constraints imposed by traditional tools. This flexibility enhances not only productivity but also fosters a more intuitive approach to data management.
API Access
Has API
API Access
Has API
Integrations
Apache Parquet
EasyMorph
Google Sheets
JavaScript
Microsoft Excel
Python
SQL
Integrations
Apache Parquet
EasyMorph
Google Sheets
JavaScript
Microsoft Excel
Python
SQL
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EasyMorph
Founded
2014
Country
Canada
Website
csviewer.com
Vendor Details
Company Name
Quadratic
Website
www.quadratichq.com
Product Features
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Spreadsheet
Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates