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MINEO

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11 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.8
Serving customers since
2023

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MINEO Reviews

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Elias E.
EE
Elias E.
Data Scientist | AI & ML Engineer | MSc Deep Learning
09/18/2023
Validated Reviewer
Review source: Organic

Elevating Python Notebooks to New Heights

MINEO is an absolute game-changer in the world of data exploration and Python notebook usage. It's not just a tool but a comprehensive platform that caters to beginners and seasoned data professionals. In summary, MINEO is a remarkable platform that redefines how we approach Python notebooks. Its wealth of features, user-friendly design, and robust capabilities make it a must-have for anyone working with data, from beginners to seasoned professionals. Give MINEO a try, and you'll wonder how you ever lived without it.
David  P.
DP
David P.
09/15/2023
Validated Reviewer
Review source: Organic

Revolutionizing Interactive Computing

• Flexibility to move and resize cells makes custom dashboard creation a breeze. • Smooth integration with data analysis and machine learning libraries. • Online access from different devices enables efficient collaborative work. • Fast load times and an intuitive interface design.
Juan Pedro P.
JP
Juan Pedro P.
09/07/2023
Validated Reviewer
Verified Current User
Review source: Organic

MINEO has the features of Power Bi and Google Colab, all in one.

I have been working with MINEO for more than a year. I have been able to perfectly carry out both data analysis and visualisation projects, as well as more advanced data science projects. You can create without much effort complete NO CODE Dashboards thanks to its gallery of visual widgets. But if you prefer you can code your dashboards using libraries such as pandas, matplolib, bokeh, ... etc. . You can connect to multiple data sources (SQL, NON SQL, csv files, json files, ...). It has full compatibility with Jupyter Notebook. You can upload your notebooks from your local environment or download them from MINEO. Its coding assistant is very useful. It detects bugs in the code and proposes more optimal solutions. You can use GPU if your Data Science projects require it.

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Madrid, Spain

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Year Founded
2023