ATLAS.ti
ATLAS.ti is a qualitative data analysis software that helps you uncover actionable insights by organizing, coding, and analyzing unstructured data like text, audio, video, and survey responses.
Windographer
Windographer is a specialized wind data analysis software that helps you import, visualize, and analyze data from meteorological towers and remote sensing systems to optimize wind energy projects.
Quick Comparison
| Feature | ATLAS.ti | Windographer |
|---|---|---|
| Website | atlasti.com | ul.com |
| Pricing Model | Subscription | Custom |
| Starting Price | $10/month | Custom Pricing |
| FREE Trial | ✓ 5 days free trial | ✓ 0 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 1993 | 2004 |
| Headquarters | Berlin, Germany | Northbrook, USA |
Overview
ATLAS.ti
ATLAS.ti is a workbench for the qualitative analysis of large bodies of textual, graphical, audio, and video data. You can manage your entire research project in one place, whether you are conducting grounded theory, content analysis, or mixed methods research. The platform allows you to import data from diverse sources including social media, reference managers, and survey tools to begin your discovery process immediately.
You can utilize automated coding tools powered by AI to speed up your initial analysis and identify patterns across thousands of documents. The software is designed for researchers in academia, market research, and user experience who need to transform complex, unstructured information into structured findings. It supports collaborative work across Windows, Mac, and Web platforms, ensuring your team stays synchronized throughout the research lifecycle.
Windographer
Windographer is the industry-standard tool for analyzing wind resource data. Whether you are working with data from met towers, SoDAR, or LiDAR systems, you can quickly import raw files and perform complex quality control. The software automatically identifies data gaps and anomalies, allowing you to flag or filter them with a few clicks. You can then generate high-quality graphs and tables to visualize wind shear, turbulence intensity, and energy production potential.
You can use the platform to streamline your entire pre-construction wind assessment process. It handles massive datasets with ease and allows you to export cleaned data directly into wind flow models like WAsP or WindSim. By automating repetitive data cleaning tasks, you save hours of manual work while ensuring your wind resource assessments are accurate and bankable.
Overview
ATLAS.ti Features
- AI Coding Save hundreds of hours by letting AI automatically suggest codes and themes across your entire dataset in minutes.
- Multimedia Analysis Analyze text, images, audio, and video files directly within the platform without needing to transcribe every word first.
- Visual Networks Create digital mind maps and network diagrams to visualize the complex relationships between your codes and data segments.
- Sentiment Analysis Automatically detect the emotional tone of your documents to quickly categorize positive, negative, or neutral feedback.
- Survey Import Import open-ended survey responses from tools like SurveyMonkey and automatically turn them into coded data for immediate analysis.
- Team Collaboration Work together on the same project with your colleagues using integrated cloud-sharing and real-time synchronization features.
Windographer Features
- Universal Data Import. Import data from almost any logger or remote sensor automatically without manual formatting or complex configuration.
- Automated Quality Control. Identify and flag data problems like icing or sensor failures using customizable automated tests and visual inspections.
- Wind Shear Analysis. Calculate and visualize wind shear profiles across different heights to accurately predict wind speeds at turbine hub heights.
- Turbulence Intensity Tracking. Analyze turbulence patterns to understand site conditions and ensure your chosen turbine models can handle the environment.
- MCP Analysis. Perform Measure-Correlate-Predict analysis to relate your short-term site data to long-term reference stations for better forecasting.
- Professional Reporting. Create customizable PDF reports and high-resolution graphics to share findings with stakeholders and potential investors.
Pricing Comparison
ATLAS.ti Pricing
- Browser-based access
- Fully functional coding
- AI-powered auto-coding
- Real-time collaboration
- Project export to desktop
- Secure cloud storage
- Everything in Web, plus:
- Windows and Mac versions
- Advanced network visualizations
- Full multimedia analysis
- Inter-coder agreement tools
- Offline functionality
Windographer Pricing
Pros & Cons
ATLAS.ti
Pros
- Superior handling of diverse file formats including video
- Powerful AI tools significantly speed up initial coding
- Excellent visual mapping tools for conceptualizing data
- Cross-platform compatibility between Windows and Mac systems
- Strong customer support and extensive training documentation
Cons
- Steep learning curve for the advanced desktop version
- Web version lacks some advanced features of desktop
- Pricing can be high for non-academic professionals
Windographer
Pros
- Handles almost any wind data format automatically
- Powerful visual tools for identifying data errors
- Industry-standard reputation makes reports more bankable
- Excellent technical support from wind energy experts
Cons
- Significant learning curve for new wind analysts
- Pricing is high for independent consultants
- Requires high-performance hardware for very large datasets