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It is a library for building interactive web interfaces. It provides data-reactive components with a simple and flexible API. | It is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. You only pay for what you use - no upfront commitment. |
Reactivity; Components; Modularity; Animations; Routing; Stability; Extendable Data bindings; Plain JS object models; Build UI by composing components; Mix & matching small libraries | Evaluate the quality of your data by profiling it to understand data patterns and detect anomalies, connect data directly from your data lake, data warehouses, and databases;
Choose from over 250 built-in transformations to visualize, clean, and normalize your data with an interactive, point-and-click visual interface;
Visually map the lineage of your data to understand the various data sources and transformation steps that the data has been through;
Automate data cleaning and normalization tasks by applying saved transformations directly to new data as it comes into your source system |
Statistics | |
GitHub Stars 209.7K | GitHub Stars - |
GitHub Forks 33.8K | GitHub Forks - |
Stacks 55.5K | Stacks 14 |
Followers 44.7K | Followers 13 |
Votes 1.6K | Votes 0 |
Pros & Cons | |
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Integrations | |
| No integrations available | |

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