Software Alternatives, Accelerators & Startups

Flask JSONDash VS Count.co

Compare Flask JSONDash VS Count.co and see what are their differences

Flask JSONDash logo Flask JSONDash

A flask app to make dashboards, easily

Count.co logo Count.co

Start driving better decision making in your team with one simple document. Get started for free.
  • Flask JSONDash Landing page
    Landing page //
    2023-07-27
  • 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.

Count.co

Website
count.co
$ Details
freemium $20.0 / Monthly (per user)
Platforms
Web

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Count.co videos

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Category Popularity

0-100% (relative to Flask JSONDash and Count.co)
Data Dashboard
68 68%
32% 32
Business Intelligence
44 44%
56% 56
Data Visualization
68 68%
32% 32
Data Science Notebooks
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Flask JSONDash and Count.co

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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, Count.co seems to be more popular. It has been mentiond 5 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.

Flask JSONDash mentions (0)

We have not tracked any mentions of Flask JSONDash yet. Tracking of Flask JSONDash recommendations started around Mar 2021.

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: 6 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 / 6 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 / 7 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: 11 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 / about 3 years ago

What are some alternatives?

When comparing Flask JSONDash and Count.co, you can also consider the following products

Chartbrew - Create interactive dashboards and reports from your databases, APIs, and 3rd party services. Supporting MySQL, Postgres, MongoDB, Firestore, Customer.io, and more. Chartbrew is 100% open source and can be self-hosted for free.

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

Deepnote - A collaboration platform for data scientists

Blazer - Open source business intelligence tool.

count.io - A simple A/B testing and counting API.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.