Software Alternatives, Accelerators & Startups

Evidence.dev VS Observable

Compare Evidence.dev VS Observable and see what are their differences

Evidence.dev logo 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.

Observable logo Observable

Interactive code examples/posts
  • Evidence.dev Landing page
    Landing page //
    2023-07-22
  • Observable Landing page
    Landing page //
    2023-10-09

Evidence.dev features and specs

  • User-Friendly Interface
    Evidence.dev offers a clean and intuitive interface that makes it easy for users to create data-driven documents without extensive technical knowledge.
  • Seamless Integration
    The platform easily integrates with various data sources, allowing users to pull in data from different places without complex configuration.
  • Real-Time Collaboration
    Evidence.dev supports real-time collaboration, enabling multiple users to work on the same document simultaneously and see changes in real time.
  • Customizability
    Users can tailor their reports to meet specific needs by leveraging custom themes and templates, allowing for a personalized presentation of data.
  • Open Source
    Being an open-source platform, Evidence.dev allows users to contribute to its development and adapt it to their specific requirements.

Possible disadvantages of Evidence.dev

  • Learning Curve
    Despite its user-friendly interface, new users may experience a learning curve, particularly those unfamiliar with data analysis or visualization tools.
  • Performance Limitations
    Depending on the complexity and size of the data being processed, users may experience performance issues that could affect the usability of the platform.
  • Feature Limitations
    Compared to some more mature data visualization tools, Evidence.dev might lack certain advanced features that power users look for in a robust data tool.
  • Dependency on Data Sources
    The application's functionality heavily relies on the availability and quality of data sources, which might be a limiting factor for some users.
  • Community Support
    Although open-source, the community around Evidence.dev might not be as large or active as other similar tools, potentially impacting the availability of resources and support.

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.

Evidence.dev videos

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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 Evidence.dev and Observable)
Business Intelligence
100 100%
0% 0
Data Visualization
9 9%
91% 91
Data Dashboard
13 13%
87% 87
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 Evidence.dev and Observable

Evidence.dev Reviews

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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 Evidence.dev. While we know about 308 links to Observable, we've tracked only 17 mentions of Evidence.dev. 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.

Evidence.dev mentions (17)

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Observable mentions (308)

  • WebGL Fluid Simulation
    I have a fork of this that inverts the light model from additive to subtractive and suddenly its like ink in water https://observablehq.com/@tomlarkworthy/ink. - Source: Hacker News / 10 days ago
  • Python dependency management is a dumpster fire
    I built a tool to help me do that: https://observablehq.com/@simonw/wrap-text-at-specified-width. - Source: Hacker News / 25 days ago
  • Comparing AWS S3 with Cloudflare R2: Price, Performance and User Experience
    I've benchmarked R2 and S3 and S3 is well ahead in terms of latency especially on ListObject requests. I think R2 has come kind of concurrency limit as concurrent ListObject requests seem to to have increase failure rate when serving simultaneous requests I have a few of the S3-like wired up live over the internet you can try yourself in your browser. Backblaze is surprisingly performant which I did not... - Source: Hacker News / about 1 month ago
  • Foursquare Open Source Places: A new foundational dataset
    The top H3 cell will have ID 841ec91ffffffff; Go to https://observablehq.com/@nrabinowitz/h3-index-inspector and paste it in and you'll see that it's… Istanbul! Write another query to find out what the most common fast food places are in Istanbul… (Burger King and McDonald's, and it's not even close). Install the spatial extension and you can find all venues within 100 meters of you. Find all the Taco Bell/Pizza... - Source: Hacker News / about 2 months ago
  • Reactive HTML Notebooks
    So I've used Observable Notebooks for building interactive articles for a while now (my favorite https://observablehq.com/@mjbo/sydney-qms-panel-public-telephone-pairings). I wanted to see if I could replicate _most_ of the (reader's). - Source: Hacker News / about 2 months ago
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What are some alternatives?

When comparing Evidence.dev and Observable, you can also consider the following products

Blazer Rails Engine - Open source business intelligence tool.

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

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.

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.

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

Vega-Lite - High-level grammar of interactive graphics