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Naas

Schedule jobs and do more in Jupyter notebooks.

5.0
•1 review•

6 followers

Schedule jobs and do more in Jupyter notebooks.

5.0
•1 review•

6 followers

Visit website
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.
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Company Info
naas.ai/product-huntGitHub
Naas Info
Launched in 2020View 1 launch
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p/naas
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Jupyter Notebook Scheduler
Run your Jupyter notebooks on a schedule with three clicks
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Launch tags:
Productivity•Open Source•SaaS
Launch Team
Jeremy RavenelMartin Donadieu

What do you think? …

Jeremy Ravenel
Jeremy Ravenel

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 😉
Report
4yr ago
Jonathan Del Hoyo
Jonathan Del Hoyo
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 🥖🐓🇫🇷 😝)
Report
4yr ago
Martin Donadieu
Martin Donadieu

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 :)
Report
4yr ago
Jeremy Ravenel
Jeremy Ravenel

Naas

Maker
@jhondel Aha merci 🇫🇷
Report
4yr ago
Swann Polydor
Swann Polydor
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!
Report
4yr ago
Jeremy Ravenel
Jeremy Ravenel

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?
Report
4yr ago
Jeremy Ravenel
Jeremy Ravenel

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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4yr ago
Martin Donadieu
Martin Donadieu

Landing AI

Maker
@soueuls thanks for the feedback it will come soon !
Report
4yr ago
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Do you use Naas?

5.0
Based on 1 review
Review Naas?
Reviews
Helpful
Sriniketh J
Sriniketh J
•2 reviews
It was really cool!! There are a ton of integrations available and 500+ templates that are readily available to use. Also, a strong community is an added bonus.
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2yr ago