Software Alternatives, Accelerators & Startups

Chartbrew VS Observable

Compare Chartbrew VS Observable and see what are their differences

Chartbrew logo 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.

Observable logo Observable

Interactive code examples/posts
  • Chartbrew Product Showcase
    Product Showcase //
    2024-06-16
  • Chartbrew Landing page
    Landing page //
    2024-06-16

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

  • Reports branding and white-labeling
  • Templates support - choose from ones already created for you or even create your own to re-use across your dashboards
  • Auto-update schedule for your dashboards
  • Email, Webhook, and Slack alerts with custom triggers
  • Data anomaly detection
  • Chart embedding
  • Shareable reports
  • Data filters at dashboard-level or chart level
  • Public data filters - available to viewers
  • Excel and PDF exports
  • Granular permissions for your team and clients
  • Observable Landing page
    Landing page //
    2023-10-09

Chartbrew

$ Details
freemium $29.0 / Monthly (10 dashboards and clients, unlimited connections & charts)
Platforms
Web
Release Date
2020 November

Chartbrew features and specs

  • Multiple integrations
    Lots of integrations supported like REST APIs, MySQL, Postgres, MongoDB, Firestore, Realtime Database, Amazon RDS, TimescaleDB, and more
  • Automatic data updates
    Chartbrew keeps your dashboards up-to-date automatically. Set an update schedule and Chartbrew takes care of the rest
  • Data alerts
    Configure data alerts for your charts and Chartbrew will send you an email or Slack message if your alert was triggered
  • Multi-tenant support
    Chartbrew comes with full team support. You can invite your team and clients with granular permissions across the team or dashboards.
  • Sharing & Embedding
    You can easily share your reports or charts through direct links or embed the reports directly on your sites.
  • Dashboard templates
    Replicate dashboards across clients with just a few clicks.

Observable features and specs

  • Collaborative Environment
    Observable allows multiple users to collaborate in real-time, making it easier for teams to work together on data visualizations and analyses.
  • Reactive Programming
    The platform supports reactive programming, where changes in data automatically trigger updates in the visualizations, enhancing interactivity and reducing the need for manual updates.
  • Built-in Data Visualization Libraries
    Observable integrates seamlessly with popular libraries like D3, Plotly, and Leaflet, providing powerful tools for creating complex and interactive data visualizations.
  • Notebook Interface
    The notebook interface is user-friendly and allows for easy documentation and sharing. Users can combine code, visualizations, and markdown text in a single document.
  • Extensive Resources and Community Support
    Observable has a rich set of tutorials, examples, and a strong community, making it easier for new users to learn and get help.
  • Customizability
    Users have the flexibility to customize their visualizations extensively, thanks to the open-ended nature of JavaScript and the supported libraries.

Possible disadvantages of Observable

  • Steeper Learning Curve for Beginners
    New users, especially those without a background in JavaScript, might find the platform challenging to learn compared to more specialized data visualization tools.
  • Performance Issues
    For very large datasets or highly complex visualizations, performance can become an issue, potentially leading to slow rendering times.
  • Dependency on Internet Connection
    Observable notebooks currently require an internet connection to run, which can be a limitation for users needing offline access.
  • Limited Integration with Other Tools
    While Observable is powerful, its integration with other enterprise tools and platforms is somewhat limited compared to more established data analysis tools.
  • Subscription Costs
    Access to some of Observable's more advanced features requires a paid subscription, which might be a barrier for individual users or small teams with limited budgets.

Analysis of Observable

Overall verdict

  • Observable is highly regarded for its user-friendly interface and powerful capabilities. It is particularly valued in environments where collaboration and interactive data exploration are essential. While it may have a learning curve for beginners, its features and community support make it a worthwhile tool for data-driven projects.

Why this product is good

  • Observable is considered good because it offers an innovative platform for data visualization and analysis. It provides an interactive, collaborative environment where users can share and explore JavaScript-based notebooks. The platform's real-time collaboration features, ease of use, and ability to integrate with various data sources make it a valuable tool for data scientists, analysts, and developers.

Recommended for

  • Data scientists and analysts who need to create and share interactive visualizations.
  • Developers looking for a platform to build and showcase data-driven projects.
  • Educational institutions that require tools for teaching data analysis and visualization.
  • Businesses looking for collaborative tools to enhance their data exploration processes.

Chartbrew videos

Chartbrew v3 - Getting Started

Observable videos

Observable Overview

More videos:

  • Review - observablehq.com review observable hq data analysis
  • Review - Hands-on Data Visualization with Observable Plot

Category Popularity

0-100% (relative to Chartbrew and Observable)
Business Intelligence
100 100%
0% 0
Data Visualization
8 8%
92% 92
Data Dashboard
14 14%
86% 86
Data Science And Machine Learning

User comments

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Reviews

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

Chartbrew Reviews

We have no reviews of Chartbrew yet.
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Observable Reviews

Top 10 Grafana Alternatives in 2024
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
Source: middleware.io
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com

Social recommendations and mentions

Based on our record, Observable seems to be a lot more popular than Chartbrew. While we know about 315 links to Observable, we've tracked only 10 mentions of Chartbrew. 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.

Chartbrew mentions (10)

  • Show HN: I built a platform to create and share dashboards
    Congrats on the release! How does it compare to https://chartbrew.com ? - Source: Hacker News / about 1 year ago
  • Those making $500/month on side projects in 2023 – Show and tell
    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 2 years ago
  • Show HN: Product analytics on your data warehouse
    Is it similar to https://chartbrew.com ? - Source: Hacker News / over 2 years ago
  • Describing My Sandbox
    Chartbrew (server): Chartbrew is open-source reporting service which really makes it easy to visualize data. - Source: dev.to / over 2 years ago
  • I made a self watering system with Raspberry Pi 3, Azure and .NET 🪴
    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 3 years ago
View more

Observable mentions (315)

  • Show HN: High End Color Quantizer
    Thanks! I agree that in the few example images you've shown it looks quite natural. In other implementations I could always see "ghosts" of the Hilbert curve in the resulting image (usually these were 1-bit images, that might have been a factor), so that used to turn me off of it a bit, even though I find it a very elegant algorithm. On the note of matrix based error diffusion exploring other methods, maybe you'd... - Source: Hacker News / 8 days ago
  • What if the Big Bang wasn't the beginning?
    Isn't it more a matter of how space is folded in higher dimensions rather than an increase in volume that accounts for containment? There is plenty of space in the corners after all[0]. [0]: https://observablehq.com/@tophtucker/theres-plenty-of-room-in-the-corners#Fig2. - Source: Hacker News / 6 days ago
  • Using elliptic curves to solve a math meme
    Using other constants in place of the ‘4’ can lead to some _really_ gigantic smallest solutions: https://observablehq.com/@robinhouston/a-remarkable-diophantine-equation. - Source: Hacker News / 29 days ago
  • Apache ECharts
    "Observable is obnoxious if you want to add a D3 pie chart to your Vue application and have to untangle calls to D3’s API from reactive cell values, which look like ordinary JavaScript, but are not, and will cause compilation and runtime errors when copied." Yep - as I wrote: "If you want to just blindly copy and paste d3 code, you may have issues with the docs being hosted on observable." If instead you learn the... - Source: Hacker News / 2 months ago
  • Natural occurring molecule rivals Ozempic in weight loss, sidesteps side effects
    I'd imagine many nested named capturing groups may trip even the best automated system! I do like the solution though. I would've probably approached it differently, trying to first get the 'inverted' match (i.e. Not matching anything that isn't a currency like pattern) and refine from there. A bit like this one I did a while back, to parse garbled strings that may occur after OCR [0]. I imagine the approach does... - Source: Hacker News / 3 months ago
View more

What are some alternatives?

When comparing Chartbrew and Observable, you can also consider the following products

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Evidence.dev - Evidence enables analysts to build a trusted, version-controlled reporting system by writing SQL and markdown. Evidence reports are publication-quality, highly customizable, and fit for human consumption.

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

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

Vega-Lite - High-level grammar of interactive graphics