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Designer Jobs VS Deepnote

Compare Designer Jobs VS Deepnote and see what are their differences

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Designer Jobs logo Designer Jobs

Find your perfect designer job. Filter through hundreds of design jobs from around the world.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Designer Jobs Landing page
    Landing page //
    2023-07-29
  • Deepnote Landing page
    Landing page //
    2023-10-09

Designer Jobs

Website
designerjobs.co
Pricing URL
Official Designer Jobs Pricing
$ Details
free
Platforms
Browser Cross Platform Google Chrome Firefox Internet Explorer Web
Release Date
2020 April
Edit details

Deepnote

Website
deepnote.com
Pricing URL
Official Deepnote Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Designer Jobs features and specs

  • Clean UI: Easy to navigate and use
  • Fast: Yes
  • Filters and Facets: Key information (e.g. brand, price, date) can be automatically extracted and shown directly in your search snippets

Deepnote features and specs

No features have been listed yet.

Designer Jobs videos

No Designer Jobs videos yet. You could help us improve this page by suggesting one.

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Deepnote videos

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Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to Designer Jobs and Deepnote)

Designer Jobs

Deepnote

Job Boards
100 100%
Job Boards
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Tech Jobs
100 100%
Tech Jobs
0% 0
Productivity
0 0%
Productivity
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Designer Jobs and Deepnote

Designer Jobs Reviews

We have no reviews of Designer Jobs yet.
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Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Deepnote seems to be more popular. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Designer Jobs mentions (0)

We have not tracked any mentions of Designer Jobs yet. Tracking of Designer Jobs recommendations started around Mar 2021.

Deepnote mentions (32)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 3 months ago
  • JupyterLab 4.0
    We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 11 months ago
  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
  • Quick tip: Using a SingleStoreDB Recursive CTE with London Underground data
    Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
  • free-for.dev
    Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Designer Jobs and Deepnote, you can also consider the following products

Startup Jobs - All startup jobs in one place. Check out 10,000s of jobs at the fastest growing startups around the world.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Boooom - Design management and leadership jobs.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

DSGN JBS - All of the best design jobs in one place

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

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