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Weft QDA is an easy-to-use, free and open-source tool for the analysis of textual data such as interview transcripts, fieldnotes and other documents.
Category
Qualitative Data Analysis Software Free
Features
• Import plain-text documents from text files or PDF • Character-level coding using categories organised in a tree structure • Retrieval of coded text and ‘coding-on’ • Simple coding statistics • Fast free-text search • Combine coding and searches using boolean queries AND, OR, AND NOT • ‘Code Review’ to evaluate coding patterns across multiple documents • Export to HTML and CSV formats
License
Proprietary
Price
Free
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
• Import plain-text documents from text files or PDF • Character-level coding using categories organised in a tree structure • Retrieval of coded text and ‘coding-on’ • Simple coding statistics • Fast free-text search
What are the benefits?
• Import plain-text documents from text files or PDF • Perform character-level coding • Easily retrieve coded text • Supports fast free-text search • Combine coding and searches using Boolean queries • Review code to evaluate coding patterns across multiple documents • Export to HTML and CSV formats
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.4
9.1
Features & Functionality
7.4
9.2
Advanced Features
7.6
9.1
Integration
7.5
9.0
Performance
7.6
9.6
Customer Support
7.5
8.1
Implementation
—
Renew & Recommend
—
7.5
Editor Rating
8.9
Aggregated User Rating
4 ratings
You have rated this
Weft QDA is an easy-to-use, free and open-source tool for the analysis of textual data such as interview transcripts, fieldnotes and other documents.
This software is offered without any warranty or support. Weft QDA 1.0.1 was developed for Windows XP, but may work on newer versions. Windows users should download this installer which contains everything you need to use Weft. It’s available to download via Softpedia’s Weft QDA page. Unfortunately, Weft QDA 1.0.1 depends on such old versions of system libraries (e.g. GTK) so it is very difficult or impossible to run Weft QDA 1.0.1 on a modern Linux distro.
The source was hosted on RubyForge, but the site no longer exists. There is historic information on installation options and prerequisites. The best way to run Weft QDA on Linux is to use WINE.
Weft QDA offers a generic set of facilities for working with text documents, and doesn't make any particular assumptions about how to think about and generalize from data. At the same time, there may be a fair number of other CAQDAS packages available to users, especially if users use Microsoft Windows, and especially if users have money. Weft QDA is easy to use compared to other CAQDAS packages.
This is partly because its offers doesn't squeeze in every possible extra, concentrating on a solid set of core features based around 'code and retrieve'. However, it's also because it uses modern platform-standard GUI controls, actions and window handling, and strives to avoid the idiosyncrasies and irritations common in commercial and free CAQDAS.
Easy-to-use, free, and open-source tool for the analysis of textual data
Company size
Enterprise (>1001)
User Role
Super User
User Industry
Telecommunications
Rating
Ease of use8.4
Weft QDA is an easy-to-use, free, and open-source tool for the analysis of textual data. Textual data may be in the form of interview transcripts, field notes, and such other documents. The application was primarily written in Ruby, a general-purpose programming language, which provides tremendous text-handling capabilities and additional resources for the creation of graphical user interfaces.
Features & Functionality8.3
Advanced Features8.1
Integration8.1
Training 8.1
Customer Support8.1
ADDITIONAL INFORMATION Weft QDA can help identify and record commonalities and differences within code. It also allows users to preview the coded text as well as allow codes to be applied in analysis of data. Weft QDA also allows coded passages can be checked in discursive context allowing operations such as assessing effect of interview prompts to be performed. This functionality enables users to view coded text in its original context so that the relevant corrections or modifications can be made. Weft QDA also provides statistics on code coverage to ascertain how well theories and categories are supported across whole data corpus and also for the purpose of evaluating coding patterns across multiple documents. Weft QDA also supports fast free-text search as alternate coding strategy. Weft QDA supports to attachment of user memoranda or annotations to codes, so that the reasoning behind the code is explicit which a plus for the world of programmers. The software’s most recent version includes some standard CAQDAS features including; import plain-text documents from text files or PDF, character-level coding using categories organized in a tree structure, simple coding statistics, combining of coding and searches using Boolean queries AND, OR, AND NOT, and export to HTML and CSV formats.
Easy-to-use, free, and open-source tool for the analysis of textual data
Enterprise (>1001)
Super User
Telecommunications
Weft QDA is an easy-to-use, free, and open-source tool for the analysis of textual data. Textual data may be in the form of interview transcripts, field notes, and such other documents. The application was primarily written in Ruby, a general-purpose programming language, which provides tremendous text-handling capabilities and additional resources for the creation of graphical user interfaces.
ADDITIONAL INFORMATION
Weft QDA can help identify and record commonalities and differences within code. It also allows users to preview the coded text as well as allow codes to be applied in analysis of data. Weft QDA also allows coded passages can be checked in discursive context allowing operations such as assessing effect of interview prompts to be performed. This functionality enables users to view coded text in its original context so that the relevant corrections or modifications can be made. Weft QDA also provides statistics on code coverage to ascertain how well theories and categories are supported across whole data corpus and also for the purpose of evaluating coding patterns across multiple documents. Weft QDA also supports fast free-text search as alternate coding strategy. Weft QDA supports to attachment of user memoranda or annotations to codes, so that the reasoning behind the code is explicit which a plus for the world of programmers. The software’s most recent version includes some standard CAQDAS features including; import plain-text documents from text files or PDF, character-level coding using categories organized in a tree structure, simple coding statistics, combining of coding and searches using Boolean queries AND, OR, AND NOT, and export to HTML and CSV formats.