Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
QDA Miner Lite is a no-cost, user-friendly version of our well-known software designed for computer-assisted qualitative analysis. This tool is ideal for analyzing various types of textual data, including interview transcripts, news articles, and open-ended survey responses, as well as for evaluating still images. Users can easily import documents in formats such as plain text, RTF, HTML, PDF, and data from Excel, MS Access, CSV, and tab-delimited text files. Additionally, it supports the import of data from other qualitative coding programs like Atlas.ti, HyperResearch, and Ethnograph, as well as from transcription software such as Transana and Transcriber, along with Reference Information System (.RIS) files. The software allows users to append comments or memos to coded segments, cases, or entire projects, enhancing the analytical process. Users can retrieve coded data employing Boolean operators (and, or, not) and proximity operators (includes, enclosed, near, before, after) for more precise analysis. Furthermore, tables can be exported in XLS, Tab Delimited, CSV formats, and Word format, making data sharing and reporting more convenient. The interface, along with the help documentation, is available in English, French, and Spanish, ensuring accessibility for a diverse user base. This functionality makes QDA Miner Lite an excellent resource for researchers and analysts looking to streamline their qualitative data analysis.
Description
Kiwi Log Viewer presents log files in a user-friendly tabular format while offering a variety of search and filtering options to enhance usability. Capable of handling files up to 14TB, it ensures you can access and search all necessary logs without concern for their size. Additionally, it allows for real-time monitoring of changes in designated log files, making it easier to stay updated on developments. The software automatically highlights critical text and supports both sub-string matching and Perl-style regular expressions for detailed searches. With customizable highlighting rules, users can quickly identify the most important messages within logs. Furthermore, you can easily track specific keywords, phrases, or patterns throughout the log files. Kiwi Log Viewer organizes text-based log entries in a clear tabular format, and it offers the convenience of copying selected rows in a tab-delimited format or directly selecting and copying any portion of the row text. Its file tailing feature ensures that you can keep an eye on specified log files for updates, allowing you to see new data added in real-time, thereby improving your overall log management experience.
API Access
Has API
No
API Access
Has API
No
Integrations
Microsoft Access
Yes
Microsoft Excel
Yes
Perl
No
Transana
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$111 one-time payment
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Provalis Research
Founded
1989
Country
Canada
Website
provalisresearch.com/products/qualitative-data-analysis-software/freeware/
Vendor Details
Company Name
SolarWinds
Founded
1999
Country
United States
Website
www.solarwinds.com/kiwi-log-viewer
Product Features
Qualitative Data Analysis
Annotations
Yes
Collaboration
Yes
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
No
Quantitative Content Analysis
Yes
Sentiment Analysis
No
Statistical Analysis
Yes
Text Analytics
Yes
User Research Analysis
No