--- title: MINEO Reviews meta_title: 'MINEO Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 11 reviews by the users' company size, role or industry to find out how MINEO works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 11 scale: '5' date_modified: '2026-06-04' parent_category: name: Development url: https://www.g2.com/categories/development --- # MINEO Reviews **Vendor:** MINEO Data Solutions S.L. **Category:** [Component Libraries Software](https://www.g2.com/categories/component-libraries) **Average Rating:** 4.8/5.0 **Total Reviews:** 11 ## About MINEO MINEO is the platform to explore your data, build and deploy Python supercharged notebooks. It also monitors the quality of your data using machine learning A better Python Notebook --------------------------------- Mineo takes Python notebooks to the next level by adding production-grade features such as: \* Switchable layout modes: Notebook, Dashboard and Mobile. \* No code Widgets (SQL Query, Graphics, Tables, KPIs, Title, Images, and Forms) to explore and interact with your content without programming. \* Integrated SQL Data sources to access databases directly. \* Compatible with Jupyter notebooks. Import your existing notebooks from .ipynb or export from mineo to other apps. \* Built-in version control system \* Ability to share and work collaboratively. \* Integrated filesystem to store your data up to 10TB. \* Ability to export your notebook to PDF \* Support for project wide variables \* Support for Python blocks, Markdown, LaTeX and Widgets. \* Detailed logs and permissions (view, view code, execute) at user/group level. \* Automatic code generation powered by OpenAI. ## MINEO Reviews ### 1. MINEO has the features of Power Bi and Google Colab, all in one. **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Pedro P. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 07, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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. **What problems is MINEO solving and how is that benefiting you?** The configuration of the environment and the installation of the libraries. You set it up once and all the users don't have to worry about it. ### 2. Elevating Python Notebooks to New Heights **Rating:** 5.0/5.0 stars **Reviewed by:** Elias E. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 18, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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 **What problems is MINEO solving and how is that benefiting you?** MINEO simplifies the process of designing ML models for large-scale engine systems by offering a user-friendly platform for efficient data exploration, enhanced collaboration, and support for diverse content types. Its integrated SQL data sources, detailed permissions system, and OpenAI-powered automatic code generation significantly improve productivity and data security. Moreover, the platform's export capabilities and ample storage space ensure that your insights are easily shareable, enabling better decision-making in the context of engine lifespan prediction. MINEO's streamlined features save time and effort, ultimately benefiting your work by facilitating more accurate predictions and informed decisions for these critical systems. ### 3. An alternative to PowerBI and Google Colab combined into one unique tool. **Rating:** 5.0/5.0 stars **Reviewed by:** Luis T. | Small-Business (50 or fewer emp.) **Reviewed Date:** August 30, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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. **What problems is MINEO solving and how is that benefiting you?** MINEO integrates the robust capabilities of both business intelligence systems and advanced data science platforms. By consolidating these functionalities into one comprehensive tool, it streamlines my workflow and significantly increases my overall productivity, allowing me to tackle complex tasks more efficiently and effectively. ### 4. Revolutionizing Interactive Computing **Rating:** 4.5/5.0 stars **Reviewed by:** David P. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 15, 2023 **What do you like best about MINEO?** • 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. **What do you dislike about MINEO?** • Occasional latency in cell updates as the project scales up. • Limited selection of predefined dashboard templates to choose from. **What problems is MINEO solving and how is that benefiting you?** • The seamless integration with new visualization and machine learning libraries has been a game-changer. It allows me to perform complex analyses and create visually stunning reports without having to switch platforms. • The online nature of this tool promotes collaboration among team members, who can work on the same project simultaneously from different locations. • The platform is particularly beneficial for iterative data exploration and presentation. Its dynamic nature allows for real-time updates, which is crucial for my data analysis tasks. ### 5. Powerful and easy! **Rating:** 5.0/5.0 stars **Reviewed by:** Martín G. | TECH LEAD, Small-Business (50 or fewer emp.) **Reviewed Date:** September 01, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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. **What problems is MINEO solving and how is that benefiting you?** I used to work with Jupyter Notebooks in local or Google Colab online. But it is usually not enough. Neither Jupyter or collab has a great look and feel, and presenting the results to a business person can be tough. But with Mineo, I can create super powerful visualizations and it is super easy to use. ### 6. Your All-in-One Tool for Data Science Projects **Rating:** 4.5/5.0 stars **Reviewed by:** Edgar M. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 01, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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. **What problems is MINEO solving and how is that benefiting you?** My work on data science projects has become more efficient, as I no longer need to be concerned about library conflicts. Furthermore, I can easily create dashboards to present the final results of my experiments to end-users. ### 7. Write and run online notebooks with AI wizard **Rating:** 4.5/5.0 stars **Reviewed by:** Miguel G. | Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** 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. **What problems is MINEO solving and how is that benefiting you?** It allows the use of multiple accounts and users within the same project and organization. This way, it is very useful if used as a tool for teaching. ### 8. Quickly create a dashboard with Python **Rating:** 5.0/5.0 stars **Reviewed by:** Henar M. | Biomedical research enginner, Small-Business (50 or fewer emp.) **Reviewed Date:** September 06, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** Currently, there is not much documentation or forum discussions. **What problems is MINEO solving and how is that benefiting you?** It allows the combination of a Python project with data analysis and interactive representation. As easy as a Jupyter Notebook but way cleaner. ### 9. GREAT Data Analytics, Data Visualization, ... online collaborative platform! **Rating:** 4.5/5.0 stars **Reviewed by:** Alejandro M. | Small-Business (50 or fewer emp.) **Reviewed Date:** September 07, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** One disadvantage of MINEO is that you cannot access GPU enabled workers with your free account. **What problems is MINEO solving and how is that benefiting you?** If you want to use certain python libraries versions, you have to install them every time you enter a notebook. ### 10. Excellent platform combining Google Colab with great data visualization and analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** August 31, 2023 **What do you like best about MINEO?** 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. **What do you dislike about MINEO?** Not seen downsides, everything seems pretty straightforward to use with very robust functionality **What problems is MINEO solving and how is that benefiting you?** Code development in online distributed environments. Best benefits are the data visualization capabilities that are not present in e.g. Google colab. The data integration is also great. ### 11. Great platform for working and collaborating with Python notebooks **Rating:** 5.0/5.0 stars **Reviewed by:** Ismael M. | Director de operaciones, Mid-Market (51-1000 emp.) **Reviewed Date:** August 31, 2023 **What do you like best about MINEO?** SaaS platform with excellent usability and design **What do you dislike about MINEO?** No complaints, completely satisfied with MINEO **What problems is MINEO solving and how is that benefiting you?** MINEO is a good tool, but it could be better. It's great for collaboration and organization anyway - [View MINEO pricing details and edition comparison](https://www.g2.com/products/mineo/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-26+12%3A07%3A58+-0500&secure%5Bsession_id%5D=46b0857c-8803-4f45-ba08-c730eece6619&secure%5Btoken%5D=7a8ef0921340760181a9454ddf2dfb3c05819e3c39db05fbf327a40ac86c4b80&format=llm_user) ## MINEO Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Functionality** - Language Contingency - Component Library - Unlocked Components **Data Preparation** - Connectors - Data Governance **Management** - Framework Integration - Repository Management - Support **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs ## Top MINEO Alternatives - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,607 reviews) - [Looker](https://www.g2.com/products/looker/reviews) - 4.4/5.0 (1,582 reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - 4.5/5.0 (1,588 reviews)