Useful Python Libraries for AI/ML

Data Science And Machine Learning Data Science Tools Python Tools

Streamlit Landing Page
1

Streamlit

Turn python scripts into beautiful ML tools
Pricing:
- Open Source
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build and work with and compare multiple models Phidata - Build AI Assistants with memory, knowledge and tools. Lux - automates visualization and data analysis Pycaret - low-code machine learning library. Really nice Cleanlab - for when you are working with messy data Drawdata - draw a dataset from inside Jupyter Pyforest - lazy import popular data science libs Streamlit - simple ui builder, useful for demonstrating ML results.

#Developer Tools #Productivity #Content Creators 210 social mentions
Seaborn Landing Page
2

Seaborn

Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Pricing:
- Open Source
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build and work with and compare multiple models Phidata - Build AI Assistants with memory, knowledge and tools. Lux - automates visualization and data analysis Pycaret - low-code machine learning library. Really nice Cleanlab - for when you are working with messy data Drawdata - draw a dataset from inside Jupyter Pyforest - lazy import popular data science libs Streamlit - simple ui builder, useful for demonstrating ML results.

#Development #Data Science And Machine Learning #Technical Computing 37 social mentions
Pandas Landing Page
3

Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pricing:
- Open Source
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build and work with and compare multiple models Phidata - Build AI Assistants with memory, knowledge and tools. Lux - automates visualization and data analysis Pycaret - low-code machine learning library. Really nice Cleanlab - for when you are working with messy data Drawdata - draw a dataset from inside Jupyter Pyforest - lazy import popular data science libs Streamlit - simple ui builder, useful for demonstrating ML results.

#Data Science And Machine Learning #Data Science Tools #Python Tools 219 social mentions
NumPy Landing Page
4

NumPy

NumPy is the fundamental package for scientific computing with Python
Pricing:
- Open Source
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build and work with and compare multiple models Phidata - Build AI Assistants with memory, knowledge and tools. Lux - automates visualization and data analysis Pycaret - low-code machine learning library. Really nice Cleanlab - for when you are working with messy data Drawdata - draw a dataset from inside Jupyter Pyforest - lazy import popular data science libs Streamlit - simple ui builder, useful for demonstrating ML results.

#Data Science And Machine Learning #Data Science Tools #Python Tools 119 social mentions