MBioLIMS BioBanking Ratings (September 2025)
This page breaks down MBioLIMS BioBanking ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand MBioLIMS BioBanking’s overall reputation. This data-driven overview will show you exactly how MBioLIMS BioBanking is rated - including how it compares to competitors.
MBioLIMS BioBanking's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:9 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
G2
CapterraWhat is MBioLIMS BioBanking?
Modul-Bio offers innovative software solutions for biobanking, including MBioLIMS BioBanking® for managing biological sample collections, MBioLABEL® for cryogenic labels and barcode printing, and eMBioBANK® for publishing and sharing collections online. Their services include personalized consulting, project support, data migration, technical support, and user training. These solutions ensure efficient sample management, data traceability, and compliance with industry standards.
🤔 MBioLIMS BioBanking vs Competitors: How Do Ratings Compare?
Check out MBioLIMS BioBanking AlternativesFrequently Asked Questions
How trustworthy is MBioLIMS BioBanking?
According to G2 and Capterra review sites MBioLIMS BioBanking holds ratings of 4.6/5 and 4/5 respectively from 9 reviews, indicating a strong level of trust and satisfaction among users as of September 2025.
How many stars is MBioLIMS BioBanking rated?
MBioLIMS BioBanking has an average star rating of 4.5 out of 5 stars based on average of 9 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from MBioLIMS BioBanking public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for MBioLIMS BioBanking is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.