Alternatives

Econometrics With Python alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Econometrics With Python

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

53
Quality
77
Trust
500
Stars
#1

Data Science For Beginners

Similarity 150Trust 96Excellent 100

10 Weeks, 20 Lessons, Data Science for All!

36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners
#2

Imbalanced Learn

Similarity 142Trust 97Excellent 100

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

7.1K starsJun 7, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn-contrib/imbalanced-learn
#3

Data Analysis And Machine Learning Projects

Similarity 140Trust 83Strong 74

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

6.7K starsJun 21, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add rhiever/Data-Analysis-and-Machine-Learning-Projects
#4

KDEpy

Similarity 137Trust 84Strong 79

Kernel Density Estimation in Python

645 starsMay 6, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add tommyod/KDEpy
#5

Pandas Videos

Similarity 136Trust 79Promising 69

Jupyter notebook and datasets from the pandas video series

2.3K starsMar 5, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add justmarkham/pandas-videos
#6

Pandas

Similarity 136Trust 98Excellent 100

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas
#7

Streamlit

Similarity 136Trust 95Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#8

Scikit Learn

Similarity 136Trust 93Excellent 100

scikit-learn: machine learning in Python

66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn
#9

Fklearn

Similarity 135Trust 90Excellent 97

fklearn: Functional Machine Learning

1.5K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add nubank/fklearn
#10

Statsmodels

Similarity 134Trust 95Excellent 100

Statsmodels: statistical modeling and econometrics in Python

11K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add statsmodels/statsmodels
#11

Plotly Resampler

Similarity 134Trust 87Strong 84

Visualize large time series data with plotly.py

1.2K starsDec 6, 2025 pushdata-analysisPythonData Analysis
$ npx skills add predict-idlab/plotly-resampler
#12

100 Pandas Puzzles

Similarity 131Trust 87Strong 75

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

3.0K starsJul 10, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add ajcr/100-pandas-puzzles
#13

Hyperlearn

Similarity 131Trust 87Strong 74

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

2.5K starsNov 19, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add unslothai/hyperlearn
#14

Notebooks

Similarity 131Trust 84Excellent 86

interactive notebooks from Planet Engineering

673 starsJun 12, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add planetlabs/notebooks
#15

Pymc Resources

Similarity 130Trust 85Strong 74

PyMC educational resources

2.1K starsDec 23, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add pymc-devs/pymc-resources
#16

Hamilton

Similarity 129Trust 94Excellent 100

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

2.5K starsJun 14, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add apache/hamilton

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Econometrics With Python if it already passes your workflow test and repository review.

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