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MIPAR can be used by research professionals in any type of market that needs to reliably extract measurements from images. We specialize in Materials Science, Life Science, and Aerial Imagery
Mid to large scale businesses building enterprise-grade data science, machine learning, and AI models and tools, such as churn prediction models and on-prem LLMs.
I liked how sophisticated everything was and the ease of use felt good, especially after diving into a trial.
The start-up process is a little confusing, I got lost a few times and it took a long time to download, install and start running.
The software best suited our requirements and the deep learning algorithm was very useful to make things easier for our team's needs.
Unable to work specifically with my system. We used it for many other projects in our lab but I had to stop using it as it did not work to quantify the images I needed.
It performed really great. I was quite impressed by its easy to use interface and diverse range of features.
I do not have many problems with MIPAR. The main one that comes to mind is the fact that the image analysis recipes regularly are forced to "re-run" during the recipe development process.
Beautiful and user-friendly environment, with the genius "recipe" feature that is highly flexible and customisable. There are often updates that improve its usability and precision.
We had to get used to some features that were quite annoying at the beginning.
It's a very good Python distribution with all the required library installed with it for Data Science, which make it convenient to use. Jupyter notebook feature is amazing.
If this is the case, I would very very like to know why that crash happened. Deleting an environment may lead some problems.
Along with Python, it supports many other popular language like R. Community support is great.
It is a bit difficult to use at the beginning.
I have used it for a while now and I am very much pleased with its functionality. The fact that is is actively supported and updated is another plus for me.
I dislike the idea that it has slow start-up time. It is noteworthy to say that it is not a major issue but never the less.
This is a great tool for data scientists and developers. Anaconda platform includes system that includes popular programming languages, libraries, and tools such as Jupyter Notebook, R, and Orange.
Performance adjustment is really required for users which use low end systems, especially lower RAM amounts.
Prioritize real-user-identified key features according to your needs to find your best fit.
MIPAR
Anaconda
Top FeaturesMIPAR
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Anaconda
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