Discover more from Daily Dose of Data Science
8 Immensely Powerful No-code Tools to Supercharge Your DS Projects
8 powerful no-code data science tools in a single frame.
Personally, I am a big fan of no-code tools. They are extremely useful in eliminating repetitive code across projects—thereby boosting productivity.
The below visual depicts 8 powerful (and my favorite) no-code tools for data science tasks:
They automate many redundant steps in data science projects and help you perform data science tasks without any code.
Let’s discuss them one by one.
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.
You can analyze datasets as large as 1B rows.
Get started: Gigasheet.
Create a spreadsheet interface in Jupyter Notebook.
Use Mito AI to conduct data analysis.
Automatically generates Python code for each analysis
Get started: Mitosheet.
Create Pivot tables, aggregations, and charts using drag-and-drop.
Add heatmaps to tables.
Works within Jupyter Notebook.
Get started: PivotTableJS.
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.
Get started: Drawdata.
Open a tableau-style interface in Jupyter notebook
Analyze a DataFrame as you would in Tableau.
Get started: PyGWalker.
A GUI-based Python code generator.
Import libraries, perform data I/O, create plots, write code for ML models, etc. by clicking buttons.
Get started: Visual Python.
Provides an elegant UI to build, train, and visualize neural networks.
Change data, model architecture, hyperparameters, etc., by clicking buttons.
Get started: Tensorflow Playground.
Generate a standardized EDA report for your dataset.
Works in a Jupyter notebook
Covers info about missing values, data statistics, correlation, data interactions, etc.
Get started: ydata-profiling.
👉 Over to you: Which cool no-code tools did I miss?
Thanks for reading Daily Dose of Data Science! Subscribe for free to learn something new and insightful about Python and Data Science every day. Also, get a Free Data Science PDF (550+ pages) with 320+ tips.
👉 If you liked this post, don’t forget to leave a like ❤️. It helps more people discover this newsletter on Substack and tells me that you appreciate reading these daily insights. The button is located towards the bottom of this email.
Thanks for reading!
Latest full articles
If you’re not a full subscriber, here’s what you missed last month:
To receive all full articles and support the Daily Dose of Data Science, consider subscribing:
👉 Tell the world what makes this newsletter special for you by leaving a review here :)
👉 If you love reading this newsletter, feel free to share it with friends!