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PolicyEngine/us-imputation-benchmarking

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Repository for benchmarking different imputation methods for survey data.

active 2025-02-252025-04-04 (UTC)

Complete coverage26,709 / 26,709 hourly files (100%) · 2 absent upstream2023-08-152026-08-31 (UTC)
Events
134
Pushes
5
Pull requests
13
Issues
30
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 39 days from 2025-02-25 to 2025-04-04. Pushes: 5 total, peak 1 in a day. Pull requests: 13 total, peak 3 in a day. Issues: 30 total, peak 9 in a day. Comments: 53 total, peak 16 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
nikhilwoodruff643132
MaxGhenis27237
juaristi2226096
mikesmit8005
vahid-ahmadi3002
codecov[bot]1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#32codecov[bot]2025-04-04 21:58
    Document package
  • Pull request#32juaristi222025-04-04 18:45
  • Issue#9nikhilwoodruff2025-04-04 14:39
    Implement proper error handling with logging
  • Issue#12nikhilwoodruff2025-04-04 14:39
    Add input validation to functions
  • Issue#6nikhilwoodruff2025-04-04 14:39
    Fix inconsistent imports and improve module structure
  • Issue#25nikhilwoodruff2025-04-04 14:39
    Design consistent Python API for multiple imputation methods
  • Issue#27nikhilwoodruff2025-04-04 14:39
    Test on iris dataset
  • Issue comment#5nikhilwoodruff2025-04-01 13:50
    Add proper testing framework with pytest
  • Issue comment#11nikhilwoodruff2025-04-01 13:38
    Create requirements.lock file for reproducible environments
  • Issue comment#28nikhilwoodruff2025-04-01 13:16
    Imputer consistent api
  • Issue#31nikhilwoodruff2025-03-24 14:13
    Add GitHub pages documentation with Jupyter Book
  • Issue#30nikhilwoodruff2025-03-24 14:13
    Publish package to PyPI
  • Issue#29nikhilwoodruff2025-03-24 14:13
    Rename package to `microimpute`
  • Issue#25juaristi222025-03-14 15:32
    Design consistent Python API for multiple imputation methods
  • Issue#25juaristi222025-03-14 15:31
    Design consistent Python API for multiple imputation methods
  • Issue#2juaristi222025-03-14 15:08
    Add module with function for each model to impute on a dataset
  • Pull request#28juaristi222025-03-13 21:26
  • Issue#3MaxGhenis2025-03-13 18:39
    Add function to compute quantile loss on a given dataframe for each model and quantile
  • Pull request#26MaxGhenis2025-03-13 18:39
  • Issue#27MaxGhenis2025-03-13 18:39
    Test on iris dataset
  • Pull request#26juaristi222025-03-13 18:32
  • Issue#25MaxGhenis2025-03-13 18:30
    Design consistent Python API for multiple imputation methods
  • Issue comment#24MaxGhenis2025-03-11 20:37
    Move all required data files to huggingface
  • Pull request#21juaristi222025-03-11 20:34
  • Issue#18nikhilwoodruff2025-03-11 20:32
    statsmodels-type interface

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.