Count.co
Chartio
Plotly
Deepnote
Looker
count.io
SQL Notebook
Tableau
Chartbrew
Metabase
Evidence.dev
Blazer
Chartio
Tableau
Flask JSONDash
Battery Health
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.
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities.
Chartbrew can be self-hosted for free or used as a managed service at chartbrew.com.
Charbrew integrations (head over to the website for an up-to-date list)
MySQL PostgreSQL MongoDB Firestore Firebase Realtime Database Custom REST API Google Analytics Customer.io
Some of Chartbrew's features
Count.co ChartbrewBased on our record, Chartbrew should be more popular than Count.co. It has been mentiond 10 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.
We use Pyodide at https://count.co and think it's pretty amazing! Congrats on the new release. I read about the snapshot support for Cloudflare workers and assumed it was a feature that Cloudflare had developed - the fact it may be coming to all users of Pyodide is great news. - Source: Hacker News / 20 days ago
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: 7 months ago
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 / 7 months ago
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 / 8 months ago
Full disclosure: I do work for count.co, the canvas in which the guide was built. Source: 12 months ago
Congrats on the release! How does it compare to https://chartbrew.com ? - Source: Hacker News / 23 days ago
I'm working part-time on my project https://chartbrew.com It's an open-source data visualization and reporting platform that I started in 2018, I abandoned in 2019, then resumed working on it more seriously in 2020. Currently, the platform is doing $1,138 in MRR from then managed hosting service and has made over $11k in revenue so far. It's been growing steadily in the last few months but going through a rough... - Source: Hacker News / over 1 year ago
Is it similar to https://chartbrew.com ? - Source: Hacker News / over 1 year ago
Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data. - Source: dev.to / over 1 year ago
I did the same thing with Google Firebase for my herb garden! Also, if you want to chart data, Chartbrew is a great tool. I plan on doing this with a hanging drip wall as soon as my area has spring plants to buy! Source: over 2 years ago
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