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Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

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Naas Templates Awesome

(aka the "awesome-notebooks")

What is Naas ?

Naas is an all-in-one data platform that enable anyone with minimal technical knowledge to turn Jupyter Notebooks into powerful automation, analytical and AI data products thanks to low-code formulas and microservices.

The platform is based on 3 low-code layers:

  • 😎 Templates: enable anyone to use data engines on all kind of subjects in minutes.
  • 🏎 Drivers: connectors to facilitate access to tools, and complex libraries (database, API, ML algorithm...)
  • πŸͺ Features: production microservices on top of Jupyter like scheduling, asset sharing, notifications and more.

Naas Cloud is free to use with 100 credits/month.
Open your account

>> More information

What is the objective of this repository ?

The objective of this repository is to create the largest catalog of production-ready Jupyter Notebooks templates. With those templates, it becomes easy to create data products (analytical dashboards, automation/AI engines and more). Check out the data-product-template repository to learn more.
The repository is organized by source/tools for easy discovery. You can also use our "Google-like" search to find templates by keywords

To ensure the quality of the templates, we have defined a framework. Each notebook shall be organized with the following sections:

  • Naas logo
  • # Title: "Tool - Action of the notebook", as h1 (an "Open in Naas" button will be automatically added by the CI/CD when a notebook is merged to the master branch)
  • Tags: hastags of the topics the notebook is about, as text
  • Author: name and social profile link of the author(s), as text
  • Description: a one-liner explaining the benefits of the notebooks for the user, as text
  • ## Input: list of all the variables, credentials, that needs to be setup, as h2
  • ## Model: list the functions applied to the data, as h2
  • ## Output: list the assets to be used by the user and its distribution channels if any, as h2

How to contribute ?

Pre-requisites:

  • Open free account on Naas Cloud so we can test the templates in a similar environment
  • Register to the Contributor Program so we can add you to team of contributors in the Naas GitHub organization
  • Join our Slack Community so you can present yourself and #chat with us

Step by step process:

  • Step 1: Find or propose an issue you want to work on
    • The Backlog of the Product Roadmap is where we put all the priorities
    • The Issues section is where we gather all the needs
  • Step 2: Prepare the issue before you start working on it
    • Make sure the description is clear
    • Tag yourself in Assignees section
    • Change the status to 'In Progress' in Projects section/Community Roadmap
    • Create a branch in Development section
  • Step 3: Clone the awesome-notebooks repository on your Naas Cloud account and switch to the branch you created
  • Step 4: Create folder named with the source tool (if it's not already created)
  • Step 5: Copy/Paste template.ipynb at the root of the folder inside the folder you are working on, and start working on your notebook
  • Step 6: Once you are happy with the result, commit to the branch by using Git extension or command line (make sure you use a GitHub personal access token and not password, otherwise it wont work)
  • Step 7: Open a Pull Request and add a member of the core team as Reviewer (Florent,Maxime or Jeremy)
  • Step 8: Change status of this Issue to β€œReview” in Projects section and comment the Pull Request with a brief on what you have done
  • Step 9: Expect a feedback and merge in the next 48h-72h
  • Step 10: Once merged, promote your work on LinkedIn, Twitter and other social media channels! (Optional, but people need to know you are awesome πŸ˜‰)

>> More information

Support on social media

We are committed to sharing templates and giving shout outs to the contributors on our social media platforms, you can support us on:

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Cityfalcon

Cloud Mercato

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Healthchecks

HubSpot

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IFTTT

IMDB

INPI

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IUCN

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Integromat

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Jupyter Notebooks

Jupyter

Kaggle

Knative

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LinkedIn

Matplotlib

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Microsoft Teams

Microsoft Word

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MySQL

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Neo

Newsapi

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OwnCloud

PDF

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Pillow

Pipedrive

Plaid

Plotly

PostgresSQL

PowerPoint

PyCaret

PyPI

Python

Pyvis

Qonto

Quandl

Reddit

Redshift

Remoteok

Remotive

SAP-HANA

SendGrid

Sendinblue

SharePoint

Slack

Snowflake

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Stripe

Telegram

Text

Thinkific

TikTok

Trello

Twilio

Twitter

Typeform

US Bureau of Labor Statistics

Vizzu

WSR

WorldBank

Worldometer

XGBoost

XML

YahooFinance

YouTube

ZIP

Zapier

spaCy


Contact us on support@naas.ai if you need any help or join our [Slack community](https://join.slack.com/t/naas-club/shared_invite/zt-1970s5rie-dXXkigAdEJYc~LPdQIEaLA)

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