Alternatives and similar repositories for pyfixest

Users that are interested in pyfixest are comparing it to the libraries listed below

• bernardodionisi / differences
  difference-in-differences in Python
  ☆103Updated last year
• d2cml-ai / csdid
  CSDID
  ☆33Updated last month
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated 2 weeks ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆103Updated 4 months ago
• StatsReporting / stargazer
  Python implementation of the R stargazer multiple regression model creation tool
  ☆202Updated last year
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆257Updated 9 months ago
• lucashusted / pystout
  A Package To Make Publication Quality Latex Tables From Python Regression Output
  ☆45Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• LOST-STATS / lost-stats.github.io
  Source code for the Library of Statistical Techniques
  ☆275Updated last month
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆189Updated last year
• gsbDBI / ExperimentData
  ☆238Updated 2 years ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆85Updated last month
• synth-inference / synthdid
  Synthetic difference in differences
  ☆285Updated last year
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆208Updated 8 months ago
• clibassi / python-packages-for-applied-economists
  A curated collection of Python packages for applied economists, organized by functionality to support econometric analysis, data manageme…
  ☆42Updated 9 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆158Updated 6 months ago
• asheshrambachan / HonestDiD
  Robust inference in difference-in-differences and event study designs
  ☆210Updated 6 months ago
• chrisconlon / applied_metrics
  A PhD course in Applied Econometrics and Panel Data
  ☆316Updated 11 months ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆431Updated last month
• kolesarm / 539b
  (Advanced) Applied Econometrics
  ☆282Updated 4 months ago
• gabors-data-analysis / da-coding-python
  This is a coding course in Python to accompany the Data Analysis material
  ☆111Updated 2 years ago
• Mixtape-Sessions / Causal-Inference-1
  Causal Inference 1 Mixtape Session taught by Scott Cunningham
  ☆287Updated 3 weeks ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated this week
• jeffgortmaker / pyhdfe
  High dimensional fixed effect absorption with Python 3
  ☆57Updated last year
• demirermert / MLInference
  ☆100Updated 4 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆72Updated 4 months ago
• OpenSourceEcon / CompMethods
  "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly u…
  ☆103Updated last year
• jeffgortmaker / pyblp
  BLP Demand Estimation with Python
  ☆258Updated 2 months ago