Here are 8 powerful no-code tools for data scientists

The below visual depicts 8 powerful (and my favorite) no-code tools for data science tasks.

1) Gigasheet:
- Browser-based no-code tool to analyze data at scale.
- Use AI to conduct data analysis
- It's like a combination of Excel + Pandas with no scale limitations.
- Analyze up to 1B rows.

2) Mito:
- Create a spreadsheet interface in Jupyter notebook.
- Yse Mito AI to conduct data analysis.
- Automatically generates Python code for each analysis

3) PivotTableJS:
- Create Pivot tables, aggregations, and charts using drag-and-drop.
- Add heatmaps to tables.
- Works within Jupyter notebook.

4) Drawdata:
- Draw any 2D scatter dataset by dragging the mouse.
- Export the data as DataFrame, CSV, or JSON.
- Create a histogram and line plot by dragging the mouse.

5) PyGWalker:
- Open a tableau-style interface in Jupyter notebook
- Analyze a DataFrame as you would in Tableau.

6) Visual Python:
- A GUI-based Python code generator.
- Import libraries, perform data I/O, create plots, write code for ML models, etc. by clicking buttons.

7) Tensorflow Playground:
- Provides an elegant UI to build, train and visualize neural networks.
- Browser-based tool.
- Change data, model architecture, hyperparameters, etc. by clicking buttons.

8) ydata-profiling:
- Generate a standardized EDA report for your dataset.
- Works in a Jupyter notebook
- Covers info about missing values, data statistics, correlation, data interactions, etc.