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nimbo-sh
nimbo
Python2021–2021
nimbo-sh / nimbo · Archived

nimbo

Run compute jobs on AWS as if you were running them locally.

4Distinct people
4Mentions
0Explicit recommenders
123GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Run compute jobs on AWS as if you were running them locally.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week4 dated mentions

Observed mentions: 2021-05-05 15:21:59 UTC to 2021-10-04 04:36:48 UTC. Weeks start Monday, UTC.

0122021-05-03 00:00:00 UTC to 2021-05-10 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 32021-05-10 00:00:00 UTC to 2021-05-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-05-17 00:00:00 UTC to 2021-05-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-05-24 00:00:00 UTC to 2021-05-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-05-31 00:00:00 UTC to 2021-06-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-07 00:00:00 UTC to 2021-06-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-14 00:00:00 UTC to 2021-06-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-21 00:00:00 UTC to 2021-06-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-28 00:00:00 UTC to 2021-07-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-07-05 00:00:00 UTC to 2021-07-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-07-12 00:00:00 UTC to 2021-07-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-07-19 00:00:00 UTC to 2021-07-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 192021-07-26 00:00:00 UTC to 2021-08-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-02 00:00:00 UTC to 2021-08-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-09 00:00:00 UTC to 2021-08-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-16 00:00:00 UTC to 2021-08-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-23 00:00:00 UTC to 2021-08-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-08-30 00:00:00 UTC to 2021-09-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-06 00:00:00 UTC to 2021-09-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-13 00:00:00 UTC to 2021-09-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-20 00:00:00 UTC to 2021-09-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-27 00:00:00 UTC to 2021-10-04 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-10-04 00:00:00 UTC to 2021-10-11 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 4

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 32021-05-03 00:00:00 UTC2021-05-10 00:00:00 UTC101
May 102021-05-10 00:00:00 UTC2021-05-17 00:00:00 UTC000
May 172021-05-17 00:00:00 UTC2021-05-24 00:00:00 UTC000
May 242021-05-24 00:00:00 UTC2021-05-31 00:00:00 UTC000
May 312021-05-31 00:00:00 UTC2021-06-07 00:00:00 UTC000
Jun 72021-06-07 00:00:00 UTC2021-06-14 00:00:00 UTC000
Jun 142021-06-14 00:00:00 UTC2021-06-21 00:00:00 UTC000
Jun 212021-06-21 00:00:00 UTC2021-06-28 00:00:00 UTC000
Jun 282021-06-28 00:00:00 UTC2021-07-05 00:00:00 UTC000
Jul 52021-07-05 00:00:00 UTC2021-07-12 00:00:00 UTC000
Jul 122021-07-12 00:00:00 UTC2021-07-19 00:00:00 UTC000
Jul 192021-07-19 00:00:00 UTC2021-07-26 00:00:00 UTC000
Jul 262021-07-26 00:00:00 UTC2021-08-02 00:00:00 UTC000
Aug 22021-08-02 00:00:00 UTC2021-08-09 00:00:00 UTC000
Aug 92021-08-09 00:00:00 UTC2021-08-16 00:00:00 UTC000
Aug 162021-08-16 00:00:00 UTC2021-08-23 00:00:00 UTC000
Aug 232021-08-23 00:00:00 UTC2021-08-30 00:00:00 UTC000
Aug 302021-08-30 00:00:00 UTC2021-09-06 00:00:00 UTC000
Sep 62021-09-06 00:00:00 UTC2021-09-13 00:00:00 UTC000
Sep 132021-09-13 00:00:00 UTC2021-09-20 00:00:00 UTC000
Sep 202021-09-20 00:00:00 UTC2021-09-27 00:00:00 UTC000
Sep 272021-09-27 00:00:00 UTC2021-10-04 00:00:00 UTC202
Oct 42021-10-04 00:00:00 UTC2021-10-11 00:00:00 UTC101

What Hacker News says

4 sources
Seems like Nimbo (https://nimbo.sh) has a Business Source License (https://github.com/nimbo-sh/nimbo/blob/master/LICENSE), so you might want to check with them regarding licensing terms for a startup that is using their code and/or docs in "production"? Otherwise, this idea is interesting and probably generalizable to other applications. Maybe it's not crystal clear to me, but what are the advantages of your service over existing solutions such as Nimbo and Spotty? FWIW it might be worthwhile adding this to your website. Good luck!
In Show HN: SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances
Hey everyone, I (Miguel) am an ML PhD from the University of Edinburgh and Juozas is a Software Engineer also from Edinburgh. Together we developed Nimbo, a dead-simple CLI that wraps the AWS CLI, allowing you to run code on AWS as if you were running it locally. You can find the source code here (https://github.com/nimbo-sh/nimbo) and the docs here (https://docs.nimbo.sh). We decided to build this because we were frustrated with how cumbersome using AWS was, and we just wanted to be able to run jobs on AWS as easily as we run them locally. At the same time, we wanted to make use of the cheap spot instances (on Nimbo, this is a single parameter). All in all, we didn't like the current user experience of working with AWS, and we believed it was possible to vastly improve it. For this reason, we also provide many useful commands to make it
Read the rest
faster and easier to work with AWS, such as launching notebooks on EC2, easily checking prices, logging onto an instance, or syncing data to/from S3 (you can see some useful commands at https://docs.nimbo.sh/useful-commands). Unlike other similar services, we are solely client-side, meaning that the code runs on your EC2 instances and data is stored in your S3 buckets (we don't have a server; all the infrastructure orchestration happens in the Nimbo package). We are also open contribution, meaning that all the source code is publicly available on our GitHub, and we welcome community contribution. We have tons of ideas for Nimbo, like adding docker support, and providing instances with preloaded datasets like ImageNet, so that you don't have to download and store it yourself - you simply spin the instance, and the dataset is available at /datasets. We are currently working on adding GCP support, so that you can use AWS or GCP with the same config file. We are happy to receive any feedback and suggestions you have.
In Show HN: Nimbo – Run jobs (and notebooks) on AWS with a single command

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