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Deepnote VS Labourly

Compare Deepnote VS Labourly and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Deepnote logo Deepnote

A collaboration platform for data scientists

Labourly logo Labourly

Your all-in-one HR solution to manage and hire work-ready candidates.
  • Deepnote Landing page
    Landing page //
    2023-10-09
  • Labourly Landing page
    Landing page //
    2021-12-29

Your all-in-one HR solution to manage and hire work-ready candidates. Built for Human Resource Departments and Staffing Agencies, Labourly™ provides intuitive solutions to manage your diverse and skilled workforce.

Deepnote features and specs

No features have been listed yet.

Labourly features and specs

  • Document management: Yes
  • Tags: Yes
  • Client Portal: Yes
  • Candidate Management: Yes
  • Certifications: Yes
  • AI Powered : Yes
  • Messaging: Yes
  • Support: Yes

Deepnote videos

+ Add

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

Labourly videos

+ Add

Increase your workplace efficiency with Labourly™.

Category Popularity

0-100% (relative to Deepnote and Labourly)

Deepnote

Labourly

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Hiring And Recruitment
0 0%
Hiring And Recruitment
100% 100
AI
100 100%
AI
0% 0
HR Tools
0 0%
HR Tools
100% 100

User comments

Share your experience with using Deepnote and Labourly. For example, how are they different and which one is better?
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Reviews

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

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

Labourly Reviews

We have no reviews of Labourly yet.
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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.

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 / 4 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 / about 1 year 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
View more

Labourly mentions (0)

We have not tracked any mentions of Labourly yet. Tracking of Labourly recommendations started around Oct 2021.

What are some alternatives?

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

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

Assembly - Assembly is an employee recognition software powered by AI that boosts engagement and productivity. Empower teams with peer-to-peer recognition, rewards, and performance tracking. Simplify HR processes and foster a positive workplace culture.

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

Bonusly - Recognition and rewards that make work fun

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.

Udemy - Online Courses - Learn Anything, On Your Schedule

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