Analyzing Github Data with JupySQL + DuckDB

JupySQL and DuckDB have many use cases. Here, let’s query the Github REST API to run some analysis using these tools.

%pip install jupysql duckdb duckdb-engine rich --quiet

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Note: you may need to restart the kernel to use updated packages.

Pulling from Github API

First, let’s pull information on repositories relating to ‘Jupyter’ from the Github API. Some operations may require a token, but accessing them is very simple if you have a Github account. More information on authentication can be found here. Our query will pull any repository relating to Jupyter, sorted by most to least stars.

import requests
import json
from pathlib import Path

res = requests.get(
    "https://api.github.com/search/repositories?q=jupyter&sort=stars&order=desc",
)

We then parse the information pulled from the API into a JSON format that we can run analysis on with JupySQL. We also need to save it locally as a .json file. Let’s make it easier by only dumping the ‘items’ array.

parsed = res.json()

_ = Path("jupyterdata.json").write_text(json.dumps(parsed["items"], indent=4))

Querying JSON File

Let’s get some information on our first result. Load the extension and start a DuckDB in-memory database:

%load_ext sql
%sql duckdb://

Looking at our .json file, we have information on thousands of repositories. To start, let’s load information on our results.

%%sql
SELECT *
FROM read_json_auto('jupyterdata.json')

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*  duckdb://
Done.

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37496521	MDEwOlJlcG9zaXRvcnkzNzQ5NjUyMQ==	nteract	nteract/nteract	False	{'login': 'nteract', 'id': 12401040, 'node_id': 'MDEyOk9yZ2FuaXphdGlvbjEyNDAxMDQw', 'avatar_url': 'https://avatars.githubusercontent.com/u/12401040?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/nteract', 'html_url': 'https://github.com/nteract', 'followers_url': 'https://api.github.com/users/nteract/followers', 'following_url': 'https://api.github.com/users/nteract/following{/other_user}', 'gists_url': 'https://api.github.com/users/nteract/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/nteract/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/nteract/subscriptions', 'organizations_url': 'https://api.github.com/users/nteract/orgs', 'repos_url': 'https://api.github.com/users/nteract/repos', 'events_url': 'https://api.github.com/users/nteract/events{/privacy}', 'received_events_url': 'https://api.github.com/users/nteract/received_events', 'type': 'Organization', 'site_admin': False}	https://github.com/nteract/nteract	📘 The interactive computing suite for you! ✨	False	https://api.github.com/repos/nteract/nteract	https://api.github.com/repos/nteract/nteract/forks	https://api.github.com/repos/nteract/nteract/keys{/key_id}	https://api.github.com/repos/nteract/nteract/collaborators{/collaborator}	https://api.github.com/repos/nteract/nteract/teams	https://api.github.com/repos/nteract/nteract/hooks	https://api.github.com/repos/nteract/nteract/issues/events{/number}	https://api.github.com/repos/nteract/nteract/events	https://api.github.com/repos/nteract/nteract/assignees{/user}	https://api.github.com/repos/nteract/nteract/branches{/branch}	https://api.github.com/repos/nteract/nteract/tags	https://api.github.com/repos/nteract/nteract/git/blobs{/sha}	https://api.github.com/repos/nteract/nteract/git/tags{/sha}	https://api.github.com/repos/nteract/nteract/git/refs{/sha}	https://api.github.com/repos/nteract/nteract/git/trees{/sha}	https://api.github.com/repos/nteract/nteract/statuses/{sha}	https://api.github.com/repos/nteract/nteract/languages	https://api.github.com/repos/nteract/nteract/stargazers	https://api.github.com/repos/nteract/nteract/contributors	https://api.github.com/repos/nteract/nteract/subscribers	https://api.github.com/repos/nteract/nteract/subscription	https://api.github.com/repos/nteract/nteract/commits{/sha}	https://api.github.com/repos/nteract/nteract/git/commits{/sha}	https://api.github.com/repos/nteract/nteract/comments{/number}	https://api.github.com/repos/nteract/nteract/issues/comments{/number}	https://api.github.com/repos/nteract/nteract/contents/{+path}	https://api.github.com/repos/nteract/nteract/compare/{base}...{head}	https://api.github.com/repos/nteract/nteract/merges	https://api.github.com/repos/nteract/nteract/{archive_format}{/ref}	https://api.github.com/repos/nteract/nteract/downloads	https://api.github.com/repos/nteract/nteract/issues{/number}	https://api.github.com/repos/nteract/nteract/pulls{/number}	https://api.github.com/repos/nteract/nteract/milestones{/number}	https://api.github.com/repos/nteract/nteract/notifications{?since,all,participating}	https://api.github.com/repos/nteract/nteract/labels{/name}	https://api.github.com/repos/nteract/nteract/releases{/id}	https://api.github.com/repos/nteract/nteract/deployments	2015-06-15 23:21:49	2023-03-21 19:32:10	2023-03-02 22:08:32	git://github.com/nteract/nteract.git	git@github.com:nteract/nteract.git	https://github.com/nteract/nteract.git	https://github.com/nteract/nteract	https://nteract.io	41809	5984	5984	TypeScript	True	True	True	True	False	True	577	None	False	False	184	{'key': 'bsd-3-clause', 'name': 'BSD 3-Clause "New" or "Revised" License', 'spdx_id': 'BSD-3-Clause', 'url': 'https://api.github.com/licenses/bsd-3-clause', 'node_id': 'MDc6TGljZW5zZTU='}	True	False	False	['data-science', 'desktop-application', 'ipython', 'jupyter', 'jupyter-notebook', 'monorepo', 'notebook', 'nteract', 'react', 'react-components', 'repl', 'zeromq']	public	577	184	5984	main	1.0
137444487	MDEwOlJlcG9zaXRvcnkxMzc0NDQ0ODc=	jupytext	mwouts/jupytext	False	{'login': 'mwouts', 'id': 29915202, 'node_id': 'MDQ6VXNlcjI5OTE1MjAy', 'avatar_url': 'https://avatars.githubusercontent.com/u/29915202?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/mwouts', 'html_url': 'https://github.com/mwouts', 'followers_url': 'https://api.github.com/users/mwouts/followers', 'following_url': 'https://api.github.com/users/mwouts/following{/other_user}', 'gists_url': 'https://api.github.com/users/mwouts/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/mwouts/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/mwouts/subscriptions', 'organizations_url': 'https://api.github.com/users/mwouts/orgs', 'repos_url': 'https://api.github.com/users/mwouts/repos', 'events_url': 'https://api.github.com/users/mwouts/events{/privacy}', 'received_events_url': 'https://api.github.com/users/mwouts/received_events', 'type': 'User', 'site_admin': False}	https://github.com/mwouts/jupytext	Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts	False	https://api.github.com/repos/mwouts/jupytext	https://api.github.com/repos/mwouts/jupytext/forks	https://api.github.com/repos/mwouts/jupytext/keys{/key_id}	https://api.github.com/repos/mwouts/jupytext/collaborators{/collaborator}	https://api.github.com/repos/mwouts/jupytext/teams	https://api.github.com/repos/mwouts/jupytext/hooks	https://api.github.com/repos/mwouts/jupytext/issues/events{/number}	https://api.github.com/repos/mwouts/jupytext/events	https://api.github.com/repos/mwouts/jupytext/assignees{/user}	https://api.github.com/repos/mwouts/jupytext/branches{/branch}	https://api.github.com/repos/mwouts/jupytext/tags	https://api.github.com/repos/mwouts/jupytext/git/blobs{/sha}	https://api.github.com/repos/mwouts/jupytext/git/tags{/sha}	https://api.github.com/repos/mwouts/jupytext/git/refs{/sha}	https://api.github.com/repos/mwouts/jupytext/git/trees{/sha}	https://api.github.com/repos/mwouts/jupytext/statuses/{sha}	https://api.github.com/repos/mwouts/jupytext/languages	https://api.github.com/repos/mwouts/jupytext/stargazers	https://api.github.com/repos/mwouts/jupytext/contributors	https://api.github.com/repos/mwouts/jupytext/subscribers	https://api.github.com/repos/mwouts/jupytext/subscription	https://api.github.com/repos/mwouts/jupytext/commits{/sha}	https://api.github.com/repos/mwouts/jupytext/git/commits{/sha}	https://api.github.com/repos/mwouts/jupytext/comments{/number}	https://api.github.com/repos/mwouts/jupytext/issues/comments{/number}	https://api.github.com/repos/mwouts/jupytext/contents/{+path}	https://api.github.com/repos/mwouts/jupytext/compare/{base}...{head}	https://api.github.com/repos/mwouts/jupytext/merges	https://api.github.com/repos/mwouts/jupytext/{archive_format}{/ref}	https://api.github.com/repos/mwouts/jupytext/downloads	https://api.github.com/repos/mwouts/jupytext/issues{/number}	https://api.github.com/repos/mwouts/jupytext/pulls{/number}	https://api.github.com/repos/mwouts/jupytext/milestones{/number}	https://api.github.com/repos/mwouts/jupytext/notifications{?since,all,participating}	https://api.github.com/repos/mwouts/jupytext/labels{/name}	https://api.github.com/repos/mwouts/jupytext/releases{/id}	https://api.github.com/repos/mwouts/jupytext/deployments	2018-06-15 05:25:36	2023-03-23 10:23:10	2023-03-15 08:09:43	git://github.com/mwouts/jupytext.git	git@github.com:mwouts/jupytext.git	https://github.com/mwouts/jupytext.git	https://github.com/mwouts/jupytext	https://jupytext.readthedocs.io	24282	5879	5879	Python	True	True	True	True	False	False	380	None	False	False	96	{'key': 'mit', 'name': 'MIT License', 'spdx_id': 'MIT', 'url': 'https://api.github.com/licenses/mit', 'node_id': 'MDc6TGljZW5zZTEz'}	True	False	False	['hydrogen', 'jupyter-notebook', 'jupyterlab', 'jupyterlab-extension', 'knitr', 'markdown', 'notebooks', 'python', 'rmarkdown', 'rstudio', 'version-control']	public	380	96	5879	main	1.0
99881209	MDEwOlJlcG9zaXRvcnk5OTg4MTIwOQ==	machine-learning-mindmap	dformoso/machine-learning-mindmap	False	{'login': 'dformoso', 'id': 2955131, 'node_id': 'MDQ6VXNlcjI5NTUxMzE=', 'avatar_url': 'https://avatars.githubusercontent.com/u/2955131?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/dformoso', 'html_url': 'https://github.com/dformoso', 'followers_url': 'https://api.github.com/users/dformoso/followers', 'following_url': 'https://api.github.com/users/dformoso/following{/other_user}', 'gists_url': 'https://api.github.com/users/dformoso/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/dformoso/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/dformoso/subscriptions', 'organizations_url': 'https://api.github.com/users/dformoso/orgs', 'repos_url': 'https://api.github.com/users/dformoso/repos', 'events_url': 'https://api.github.com/users/dformoso/events{/privacy}', 'received_events_url': 'https://api.github.com/users/dformoso/received_events', 'type': 'User', 'site_admin': False}	https://github.com/dformoso/machine-learning-mindmap	A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.	False	https://api.github.com/repos/dformoso/machine-learning-mindmap	https://api.github.com/repos/dformoso/machine-learning-mindmap/forks	https://api.github.com/repos/dformoso/machine-learning-mindmap/keys{/key_id}	https://api.github.com/repos/dformoso/machine-learning-mindmap/collaborators{/collaborator}	https://api.github.com/repos/dformoso/machine-learning-mindmap/teams	https://api.github.com/repos/dformoso/machine-learning-mindmap/hooks	https://api.github.com/repos/dformoso/machine-learning-mindmap/issues/events{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/events	https://api.github.com/repos/dformoso/machine-learning-mindmap/assignees{/user}	https://api.github.com/repos/dformoso/machine-learning-mindmap/branches{/branch}	https://api.github.com/repos/dformoso/machine-learning-mindmap/tags	https://api.github.com/repos/dformoso/machine-learning-mindmap/git/blobs{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/git/tags{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/git/refs{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/git/trees{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/statuses/{sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/languages	https://api.github.com/repos/dformoso/machine-learning-mindmap/stargazers	https://api.github.com/repos/dformoso/machine-learning-mindmap/contributors	https://api.github.com/repos/dformoso/machine-learning-mindmap/subscribers	https://api.github.com/repos/dformoso/machine-learning-mindmap/subscription	https://api.github.com/repos/dformoso/machine-learning-mindmap/commits{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/git/commits{/sha}	https://api.github.com/repos/dformoso/machine-learning-mindmap/comments{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/issues/comments{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/contents/{+path}	https://api.github.com/repos/dformoso/machine-learning-mindmap/compare/{base}...{head}	https://api.github.com/repos/dformoso/machine-learning-mindmap/merges	https://api.github.com/repos/dformoso/machine-learning-mindmap/{archive_format}{/ref}	https://api.github.com/repos/dformoso/machine-learning-mindmap/downloads	https://api.github.com/repos/dformoso/machine-learning-mindmap/issues{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/pulls{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/milestones{/number}	https://api.github.com/repos/dformoso/machine-learning-mindmap/notifications{?since,all,participating}	https://api.github.com/repos/dformoso/machine-learning-mindmap/labels{/name}	https://api.github.com/repos/dformoso/machine-learning-mindmap/releases{/id}	https://api.github.com/repos/dformoso/machine-learning-mindmap/deployments	2017-08-10 04:29:24	2023-03-23 10:34:16	2020-05-30 07:34:20	git://github.com/dformoso/machine-learning-mindmap.git	git@github.com:dformoso/machine-learning-mindmap.git	https://github.com/dformoso/machine-learning-mindmap.git	https://github.com/dformoso/machine-learning-mindmap	None	15538	5752	5752	None	True	True	True	True	False	False	1000	None	False	False	4	{'key': 'apache-2.0', 'name': 'Apache License 2.0', 'spdx_id': 'Apache-2.0', 'url': 'https://api.github.com/licenses/apache-2.0', 'node_id': 'MDc6TGljZW5zZTI='}	True	False	False	['cheatsheet', 'data', 'jupyter', 'learning', 'machine', 'machine-learning', 'mindmap', 'python', 'science']	public	1000	4	5752	master	1.0

However, this is a lot of information. After seeing what we’re working with, let’s pull the name of the repository, the author, the description, and the URL to make things cleaner. Let’s also limit our results to the top 5 starred repos.

%%sql
SELECT 
    name AS name,
    owner.login AS user,
    description AS description,
    html_url AS URL,
    stargazers_count AS stars
FROM read_json_auto('jupyterdata.json')
LIMIT 5

*  duckdb://

Done.

name	user	description	URL	stars
PythonDataScienceHandbook	jakevdp	Python Data Science Handbook: full text in Jupyter Notebooks	https://github.com/jakevdp/PythonDataScienceHandbook	37861
handson-ml2	ageron	A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.	https://github.com/ageron/handson-ml2	24399
tqdm	tqdm	A Fast, Extensible Progress Bar for Python and CLI	https://github.com/tqdm/tqdm	24307
homemade-machine-learning	trekhleb	🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained	https://github.com/trekhleb/homemade-machine-learning	21071
dash	plotly	Data Apps & Dashboards for Python. No JavaScript Required.	https://github.com/plotly/dash	18339

We can also load all of the pulled repositories that, say, have a certain range of stars:

%%sql
SELECT 
    name AS name,
    owner.login AS user,
    description AS description,
    html_url AS URL,
    stargazers_count AS stars
FROM read_json_auto('jupyterdata.json')
WHERE stargazers_count < 15000 AND stargazers_count > 10000 

*  duckdb://
Done.

name	user	description	URL	stars
jupyter	jupyter	Jupyter metapackage for installation, docs and chat	https://github.com/jupyter/jupyter	14186
Screenshot-to-code	emilwallner	A neural network that transforms a design mock-up into a static website.	https://github.com/emilwallner/Screenshot-to-code	13982
Kalman-and-Bayesian-Filters-in-Python	rlabbe	Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.	https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python	13439
jupyterlab	jupyterlab	JupyterLab computational environment.	https://github.com/jupyterlab/jupyterlab	12741
kubeflow	kubeflow	Machine Learning Toolkit for Kubernetes	https://github.com/kubeflow/kubeflow	12386
ds-cheatsheets	FavioVazquez	List of Data Science Cheatsheets to rule the world	https://github.com/FavioVazquez/ds-cheatsheets	12026
dive-into-machine-learning	dive-into-machine-learning	Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)	https://github.com/dive-into-machine-learning/dive-into-machine-learning	11126
PRML	ctgk	PRML algorithms implemented in Python	https://github.com/ctgk/PRML	10928
ydata-profiling	ydataai	Create HTML profiling reports from pandas DataFrame objects	https://github.com/ydataai/ydata-profiling	10384

And save it to a .csv file:

%%sql
COPY (
    SELECT
    name AS name,
    owner.login AS user,
    description AS description,
    html_url AS URL,
    stargazers_count AS stars
    FROM read_json_auto('jupyterdata.json')
    WHERE stargazers_count < 15000 AND stargazers_count > 10000 
)

TO 'jupyterdata.csv' (HEADER, DELIMITER ',');

*  duckdb://
Done.

Count
9

%%sql
SELECT * FROM 'jupyterdata.csv'

*  duckdb://
Done.

name	user	description	URL	stars
jupyter	jupyter	Jupyter metapackage for installation, docs and chat	https://github.com/jupyter/jupyter	14186
Screenshot-to-code	emilwallner	A neural network that transforms a design mock-up into a static website.	https://github.com/emilwallner/Screenshot-to-code	13982
Kalman-and-Bayesian-Filters-in-Python	rlabbe	Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.	https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python	13439
jupyterlab	jupyterlab	JupyterLab computational environment.	https://github.com/jupyterlab/jupyterlab	12741
kubeflow	kubeflow	Machine Learning Toolkit for Kubernetes	https://github.com/kubeflow/kubeflow	12386
ds-cheatsheets	FavioVazquez	List of Data Science Cheatsheets to rule the world	https://github.com/FavioVazquez/ds-cheatsheets	12026
dive-into-machine-learning	dive-into-machine-learning	Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)	https://github.com/dive-into-machine-learning/dive-into-machine-learning	11126
PRML	ctgk	PRML algorithms implemented in Python	https://github.com/ctgk/PRML	10928
ydata-profiling	ydataai	Create HTML profiling reports from pandas DataFrame objects	https://github.com/ydataai/ydata-profiling	10384

There’s no shortage of information that we can pull from this API, so this is just one example. Feel free to give it a try yourself— or explore using JupySQL with another API or .json file!