MINEO Pros and Cons

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. Review collected by and hosted on G2.com.

The free account does not support the use of GPU. It would be very interesting to be able to use GPU even for a limited time. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

While MINEO is an exceptional platform, it would be the learning curve for users new to data exploration if I had to nitpick something. The platform offers extensive features, and newcomers might take a little time to fully grasp its capabilities. However, with a bit of patience and exploration, this hurdle is easily overcome Review collected by and hosted on G2.com.

What I like best about MINEO is its ability to provide the data visualisation and reporting capabilities of PowerBI, while seamlessly integrating the coding and data analysis capabilities of Google Colab. This combination provides a comprehensive tool that addresses both business intelligence and data science needs in a single platform. Review collected by and hosted on G2.com.

MINEO's free edition would be much more appealing if it included GPU-enabled workers. This omission is a notable drawback for those who rely on such features. Review collected by and hosted on G2.com.

• 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. Review collected by and hosted on G2.com.

• Occasional latency in cell updates as the project scales up.

• Limited selection of predefined dashboard templates to choose from. Review collected by and hosted on G2.com.

I love the design. The look and feel is fantastic.

It is super powerful. You can create all the BI you need using Python directly as if it were a Jupyter Notebook but with a much better presentation. You can create super visual and useful panels using Python and present them as production panels to display your data.

You can even create entire applications ready for production, working as if working in a Jupyter notebook. Also, it is collaborative so that multiple developers can develop these applications simultaneously.

It is easy for Data Scientists to move from local Jupyter Notebooks to Mineo.

It is super customizable at the company and user level, and they are continuously adding new cool things!

The integration with different data sources is suuuuper easy. You can have multiple sources connected in your notebook in a couple of minutes.

It has a super useful tutorial the first time you use it. Review collected by and hosted on G2.com.

It is not super helpful if you don't know anything about Python. But I suppose this is an alternative for collab and Jupiter, so python is the requirement you need. Review collected by and hosted on G2.com.

I have now been using Mineo for almost a year, and I can confidently say it has transformed the way I approach data science projects. It's the all-in-one solution I've been searching for. With switchable layout modes, no-code widgets, SQL integration, and robust collaboration features, Mineo simplifies everything.

I remember a couple of months back, they did not have support for a GPU environment, something many of its community members needed. They carefully listened to their community, and in a few weeks, they made the GPU environment available. This shows that developers really care about their community and their projects. Review collected by and hosted on G2.com.

It is a tool that has so many features that sometimes it takes time to discover some of them. It has very good documentation, but this does not detract from the fact that there is a small learning curve. Review collected by and hosted on G2.com.

This allows you to work collaboratively, sharing workspaces and completely online.

It also has an online wizard that can help you write the notebooks.

It allows multiple data sources such as csv files, databases, etc. Review collected by and hosted on G2.com.

It has a cost if you want to use all its functionality. The free account does not offer the best features but it is fine to start with.

To use workers with GPU, the time to raise a worker could be less. Review collected by and hosted on G2.com.

Easy interface to create a dashboard with Python code (Pandas, Matplotlib, etc.). The distribution of modules is seamless, without the limitations of libraries like Dash. Review collected by and hosted on G2.com.

Currently, there is not much documentation or forum discussions. Review collected by and hosted on G2.com.

MINEO widgets are great and really easy to use. No code needed to create them but if you want, you can also dive into advanced mode. They offer plently of different graphics and different configurations for each of them. The MINEO assistant is also a great tool to speed up the work. Review collected by and hosted on G2.com.

One disadvantage of MINEO is that you cannot access GPU enabled workers with your free account. Review collected by and hosted on G2.com.

Online platform for code development and data analytics collaboration with an extremely good user interface and excellent integration capabilities. It looks like a sophisticated mix between Google Colab, Power BI and Tableau. Review collected by and hosted on G2.com.

Not seen downsides, everything seems pretty straightforward to use with very robust functionality Review collected by and hosted on G2.com.