In [6]:

from github import Github
from getpass import getpass
import pandas as pd

In [3]:

g = Github(getpass("Enter access token"))

Enter access token········

In [41]:

def get_candidates():
    for result in g.search_code("filename:_targets.R extension:.R"):
        yield result.name, result.repository.html_url, result.repository.stargazers_count

In [42]:

df = pd.DataFrame.from_records(
    get_candidates()
).rename(
    columns = {0: "filename", 1: "repo_url", 2: "stars"}
).query(
    "filename == '_targets.R'"
).sort_values(
    "stars", ascending=False
)

In [43]:

pd.set_option('max_colwidth', 200)
pd.set_option('display.max_rows', None)
df.iloc[:50, 1:]

Out[43]:

	repo_url	stars
2	https://github.com/adamaltmejd/covid	88
146	https://github.com/robjhyndman/CV	81
590	https://github.com/MilesMcBain/tflow	77
564	https://github.com/xmarquez/democracyData	71
496	https://github.com/wlandau/targets-minimal	56
176	https://github.com/InseeFrLab/utilitR	51
15	https://github.com/andrewheiss/evalf22.classes.andrewheiss.com	49
97	https://github.com/USGS-VIZLAB/chart-challenge-22	41
261	https://github.com/USGS-VIZLAB/chart-challenge-22	41
223	https://github.com/USGS-VIZLAB/chart-challenge-22	41
112	https://github.com/USGS-VIZLAB/chart-challenge-22	41
274	https://github.com/USGS-VIZLAB/chart-challenge-22	41
681	https://github.com/USGS-VIZLAB/chart-challenge-22	41
348	https://github.com/juba/tidyverse	38
253	https://github.com/andrewheiss/bayesf22.classes.andrewheiss.com	36
445	https://github.com/fdhidalgo/geocode_br_polling_stations	31
315	https://github.com/tjmahr/notestar	29
530	https://github.com/svmiller/steveproj	29
589	https://github.com/nhs-r-community/demos-and-how-tos	28
610	https://github.com/nhs-r-community/demos-and-how-tos	28
265	https://github.com/noamross/reprotemplate	25
35	https://github.com/the-markup/investigation-prediction-bias	24
271	https://github.com/andrewheiss/who-cares-about-crackdown	24
521	https://github.com/wlandau/targets-stan	23
550	https://github.com/ecohealthalliance/container-template	23
447	https://github.com/USGS-VIZLAB/flow-tiles	21
480	https://github.com/InseeFrLab/lockdown-maps-R	20
45	https://github.com/wlandau/targets-four-minutes	19
179	https://github.com/goldingn/neuts2efficacy	18
312	https://github.com/andrewheiss/evalsp23.classes.andrewheiss.com	18
281	https://github.com/ropensci/roweb3	16
570	https://github.com/crsh/reproducible-research-practices-workshop	16
536	https://github.com/andrewheiss/nonprofitf22.classes.andrewheiss.com	15
378	https://github.com/emptyfield-ds/r_teaching_warehouse	15
69	https://github.com/USGS-VIZLAB/viz-scratch	15
219	https://github.com/emptyfield-ds/r_teaching_warehouse	15
343	https://github.com/wlandau/targetsketch	14
91	https://github.com/saturncloud/examples	14
669	https://github.com/boyiguo1/Tutorial-Residential_Segregation_Score	13
368	https://github.com/databio/unitar	13
557	https://github.com/databio/unitar	13
85	https://github.com/LungCellAtlas/HLCA_reproducibility	13
302	https://github.com/databio/unitar	13
677	https://github.com/databio/unitar	13
676	https://github.com/databio/unitar	13
282	https://github.com/noamross/targets-minio-versioning	12
593	https://github.com/sol-eng/targets-deployment-rsc	11
515	https://github.com/wlandau/targets-keras	11
357	https://github.com/malcolmbarrett/mastering_r_for_epi	10
254	https://github.com/r4ds/bookclub-tmwr	10