Naas

Schedule jobs and do more in Jupyter notebooks.

6 followers

Schedule jobs and do more in Jupyter notebooks.

6 followers

Easy automation for data-driven people. Naas moves information automatically between your apps, files, APIs, databases, so you can focus on your most important work. Built on top of Jupyter. Inspired by Netflix Data Platform. Saas & Opensource.

Launch tags:Productivity•Open Source•SaaS

Launch Team

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Promoted

This tool looks pretty cool! Do you have any plans to add integration with health-related APIs such as Fitbit or iOS Healthkit? I don't even know if it's possible or not but I would love to tinker with my health data using Jupyter!

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5yr ago

Naas

Maker

@soueuls That's a good idea! anything that has an API could be integrated with Naas. Do you have a specific dataset you want to access or use case in mind?

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5yr ago

Naas

Maker

@soueuls Good idea! I made some research, it sounds feasible! I have created an "Health" category + added your 2 request (Fitbit, Heathkit) in our product roadmap on canny : https://naas.canny.io/ 👉 You can upvote them so they can be prioritized 😉 Thanks a lot for your feedback.

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5yr ago

Landing AI

Maker

@soueuls thanks for the feedback it will come soon !

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5yr ago

Kudos for the launch and all the best! Looks very promising. Would be great to have such a pain around notebook deployment being solved (and even more by a French startup 🥖🐓🇫🇷 😝)

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5yr ago

Landing AI

Maker

@jhondel Thanks a lot for your feed-back, in plus we open sourced all our code, even the naas_driver lib who make super easy connector to tons of tools, just pip install it :)

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5yr ago

Naas

Maker

@jhondel Aha merci 🇫🇷

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5yr ago

Congrats Jeremy. One of my favourite parts about this is that Jeremy faced a problem and he created an entire product to solve that! Kudos!

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5yr ago

Landing AI

Maker

@ayush_agarwalll Yea sometime people gave up on this .... but we had to find a way !

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5yr ago

Naas

Maker

@ayush_agarwalll real life problem indeed

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5yr ago

Typeform

Nice one! Great to see some open source solutions out there :) Added it to my [Made in France 🇫🇷 collection](https://www.producthunt.com/@pic...)

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5yr ago

Naas

Maker

@picsoung Hey Nicolas, thanks a lot. Open-source by nature :) Thanks for adding us to your collection!

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5yr ago

Landing AI

Maker

@picsoung Thanks a lot Nicolas, would you mind to jump in a call with us, we need insigth :)

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5yr ago

Good job, I have been using Naas for 2 months as a beta user. After that, I will tell you only one thing: Our parents used to solve problems with a Swiss knife, our generation will use Naas! well done!

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5yr ago

Landing AI

Maker

@guillaume_salvan Thanks for your feedback

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5yr ago

Naas

Maker

@guillaume_salvan 🙏

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5yr ago

Naas

Maker

Hey Guys! We're super happy to be here 😃 Naas is the first Jupyter based data-science platform that allows you to schedule, run, and expose all the awesome things you can with notebooks. For the past 4 years, we've been working with Jupyter to integrate our clients data projects into their production environment. But going from notebooks to prod is a tedious process. So we dreamed of making Jupyter a safe production environment to make data access as simple as writing on a piece of paper. Then, we realized that Netflix was on the same path! They are indeed betting heavily on notebooks to enable data access from engineers to business executives. We share their philosophy and created Naas 📒 Notebooks as automated Services 🚀 We wish to make Jupyter notebooks a commodity for everyone who wants to build data intelligence, with no black box. Everything is open-source, and we created a set of awesome notebooks templates to kickstart your projects in minutes. With Naas you can : ✅ Connect Naas to more than 3000 apps thanks to our integrations with Zapier, IFTT, Integromat. ✅ Create data scripts in minutes in pure Python, or with our low-code drivers ✅ Build repeatable workflows with Naas magic features (Scheduler, API, Assets...) ✅ Run AI-powered data pipelines effortlessly in a state of the art infrastructure (if you choose the SaaS version) Every PH user is very welcome to join the Naas adventure and we would love to hear your feedback! In the meantime, we’ll be around to answer your questions 😉

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5yr ago

Landing AI

Maker

Hey hunters, I’m the other co-founder of Naas, just a note here. When I met Jeremy, a few years ago he was using notebooks on his local machine and dreamed about a safe production environment. So we did it and deployed in the safer one: Kubernetes in AWS. 💥 Then we focused on our platform and python integration, named Naas-drivers. We decided to Open-source it and publish it to Pypip, to allow everyone to uses it. ❤️ Today, our early version supports many sources (Airtable, Google Sheets, Yahoo finance, news API, Canny, MongoDB, etc.) and 5 destinations (IFTTT, Zappier, Bubble, Integromat, Emails). We’re releasing new integrations every day and hope to support more than 50 by the end of the year. Join the community and help us work on sources (DynamoDB, MySQL, Trello, Hive, etc.) and a destination (Plotly, Html, PDF, etc.), most of which are not yet published. Adding integrations and improving the platform will be our focus for the next year. Connectors and orchestration will always remain open-sourced and in Python. We monetize our project with the SaaS platform and enterprise-grade features (support, hosting, management, privacy compliance, SSO, etc.). Thanks!

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5yr ago

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