Alternatives and similar repositories for PySensemakr

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆103Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆83Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆103Updated 4 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆84Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆71Updated 4 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated last week
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆188Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 9 months ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆251Updated this week
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 10 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆36Updated last month
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆31Updated this week
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated 3 weeks ago
• pymc-devs / pymc-bart
  ☆122Updated last week
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last month
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆40Updated last week
• d2cml-ai / csdid
  CSDID
  ☆33Updated last month
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆44Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆127Updated last year
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆171Updated last year
• vincentarelbundock / pymarginaleffects
  ☆73Updated 2 weeks ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆637Updated last month
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆112Updated this week
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago