
gretl
EViews
LIMDEP
SAFE TOOLBOXES
Base SAS
StatsDirect
SHAZAM (statistical analysis)
Mplus is a statistical modeling program used by social scientists, health researchers, market researchers, and educators.

Git query language, for quickly searching git contents.

Which is more popular?
Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | statmodel.com | github.com |
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What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Mplus yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
NOISE-CANCELLING Motorcycle Bluetooth Headset & Intercom! Motikom MPlus Review
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Mplus and Gitql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Mplus since Mar 2022.
How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago
When comparing Mplus and Gitql, you can also consider the following products.

homepage of gretl, the Gnu Regression, Econometrics and Time-series Library
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EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...
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LIMDEP is an econometric and statistical analysis software that is used by researchers, students, and professionals from all over the world.
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SAFE TOOLBOXES is an Excel add-in that enhances Excel capabilities to perform simulations...
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Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.
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StatsDirect statistics software for biomedical and public health research. Easy to use; state-of-the-art methods; well-documented; affordable; free trial
Compare StatsDirect to Mplus or Gitql: