Software Alternatives & Reviews

nbviewer.org VS Count.co

Compare nbviewer.org VS Count.co and see what are their differences

nbviewer.org logo nbviewer.org

Rackspace server host Jupyter Notebooks from your github repo

Count.co logo Count.co

Start driving better decision making in your team with one simple document. Get started for free.
  • nbviewer.org Landing page
    Landing page //
    2023-03-19
  • Count.co Landing page
    Landing page //
    2023-02-08

Count is a new type of data analytics application, where everything is based around notebooks.

Notebooks contain all of your analytics queries, alongside rich text, images, videos, and interactive controls. A notebook can be a simple static document, a fully interactive application, or anything in-between. They are backed up as you write, use state-of-the-art rendering technology to take full advantage of your machine, and scale down to stay readable on mobile.

Count connects to your data warehouse to run queries, so the data you see is always up-to-date. It also (optionally) intelligently caches results to minimise the load on your databases.

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Category Popularity

0-100% (relative to nbviewer.org and Count.co)
Data Science And Machine Learning
Business Intelligence
0 0%
100% 100
Data Science Notebooks
65 65%
35% 35
Data Visualization
100 100%
0% 0

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Reviews

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Count.co Reviews

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Count.co also has a built-in code editor and supports a wide range of libraries and frameworks, including TensorFlow and PyTorch. One of the main advantages of Count.co is its focus on collaboration, which allows users to easily share and collaborate on notebooks with other users.
Source: noteable.io

Social recommendations and mentions

Based on our record, nbviewer.org should be more popular than Count.co. It has been mentiond 13 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.

nbviewer.org mentions (13)

  • Jupyter kernel for Logtalk
    Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
  • Is there a CodePen/OverLeaf equivalent for sharing and viewing Jupyter Notebooks/Labs
    Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
  • Collaborative Jupyter Whiteboards
    Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
  • First data science project (visualization): What should I improve on?
    Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
  • Can someone please review my data visualisation notebook?
    I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
View more

Count.co mentions (5)

  • Multiplayer dbt data modelling
    Hi Reddit, after lurking here a while I've finally got something interesting to share - a new feature I've been working on at Count (https://count.co), which I wrote a blog post on here:. Source: 5 months ago
  • Show HN: Multiplayer Data Modeling
    Hi HN, after seeing a lot of data engineering discussion here I thought it would be interesting to share a new feature I've been working on at Count (https://count.co). We've made possible to import and execute dbt models, compiling them on the fly with a custom compiler, and view results alongside other collaborators in real time. We built this because we heard feedback from our customers that debugging and... - Source: Hacker News / 5 months ago
  • Ask HN: Who is hiring? (November 2023)
    Count | Senior Software Engineer | REMOTE within UK/Europe | Full-time | https://count.co Count is like Jupyter, Tableau and Miro combined in one tool. Data teams at some of the world's leading scale-ups use it for everything from iterating data models to performing deep dive analyses and telling impactful stories backed by data. We're a small team of 8, and we're looking for experienced software engineers who are... - Source: Hacker News / 6 months ago
  • I attempted to create the Ultimate Guide to dbt
    Full disclosure: I do work for count.co, the canvas in which the guide was built. Source: 10 months ago
  • Instanced Line Rendering Using WebGL
    Nice article! When we wrote the instanced WebGL line renderer for https://count.co one of the tricky parts was switching between mitre and bevel joins based on the join angle - for very acute angles the mitre join shoots off to infinity. Another nice extension (that we are yet to implement) is anti-aliasing, but I think that requires extra geometry to vary the opacity over. - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing nbviewer.org and Count.co, you can also consider the following products

Observable - Interactive code examples/posts

Chartio - Chartio is a powerful business intelligence tool that anyone can use.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

SQL Notebook - SQL Notebook is a free Windows app for exploring and manipulating tabular data.

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

Plotly - Low-Code Data Apps