Software Alternatives, Accelerators & Startups

Evidently AI VS CodeSandbox

Compare Evidently AI VS CodeSandbox and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

CodeSandbox logo CodeSandbox

Online playground for React
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • CodeSandbox Landing page
    Landing page //
    2023-07-27

CodeSandbox

$ Details
Release Date
2017 January
Startup details
Country
The Netherlands
City
Amsterdam
Founder(s)
Bas Buursma
Employees
1 - 9

Evidently AI features and specs

  • Automated Monitoring
    Evidently AI provides automated monitoring of machine learning models, which helps in identifying performance degradation or drift, ensuring models remain accurate and reliable over time.
  • User-Friendly Interface
    The platform offers a user-friendly interface that allows practitioners with varying levels of expertise to easily navigate through features and monitor models effectively.
  • Comprehensive Reporting
    Evidently AI generates detailed reports that include key metrics and insights about model performance, making it easier to communicate findings with stakeholders.
  • Integration Capabilities
    It can be integrated seamlessly with existing data pipelines and machine learning infrastructures, allowing for more streamlined workflows.
  • Open Source
    As an open-source tool, Evidently AI enables greater flexibility and customization, allowing users to modify and extend its features to suit specific needs.

Possible disadvantages of Evidently AI

  • Limited Advanced Features
    While Evidently AI covers basic and intermediate monitoring needs well, it may lack some of the more advanced features offered by other specialized commercial platforms.
  • Dependency Management
    Being open-source, managing dependencies and ensuring compatibility with other tools or libraries can sometimes be challenging and may require additional effort.
  • Resource Intensive
    The tool may require significant computational resources for large scale models or big datasets, which could be a limitation for some users.
  • Initial Setup Complexity
    Initial setup and configuration of the platform might be complex for users without a strong technical background, potentially causing a steeper learning curve.

CodeSandbox features and specs

  • Ease of Use
    CodeSandbox offers an intuitive interface that allows developers to quickly start coding without the need for complex setup or configuration.
  • Instant Collaboration
    The platform supports real-time collaboration, enabling multiple developers to work on the same project simultaneously.
  • Pre-configured Environments
    It provides a variety of pre-configured templates for popular frameworks like React, Vue, and Angular, which saves time on setting up development environments.
  • Integrated Development
    CodeSandbox includes built-in terminal access and npm/yarn package management, making it possible to manage dependencies directly within the editor.
  • Live Previews
    Code changes are instantly compiled and displayed, providing immediate feedback with live previews of the application.
  • GitHub Integration
    Seamless integration with GitHub allows importing and exporting repositories, making it easier to manage version control and workflows.
  • Accessibility
    Being a web-based IDE, CodeSandbox can be accessed from any device with an internet connection, enhancing flexibility and mobility.

Possible disadvantages of CodeSandbox

  • Performance Issues
    Some users experience lag and slower performance, particularly with larger projects, compared to local development environments.
  • Limited Customization
    While convenient, the pre-configured environments might limit advanced customization options available in local IDEs.
  • Dependency on Internet
    As an online platform, a stable internet connection is required to use CodeSandbox effectively, which could be a limitation in areas with poor connectivity.
  • Free Tier Limitations
    The free version comes with certain restrictions on resources and functionality, which might not be sufficient for larger or more complex projects.
  • Security Concerns
    Storing code in an online platform can raise security concerns, especially for sensitive or proprietary projects.
  • Learning Curve
    Despite its ease of use, developers new to online IDEs might face a learning curve in adapting from traditional, local development environments.

Analysis of Evidently AI

Overall verdict

  • Yes, Evidently AI is a solid choice for monitoring and understanding machine learning models.

Why this product is good

  • User-Friendly: Evidently AI offers an intuitive interface that simplifies the process of monitoring machine learning models.
  • Comprehensive Dashboards: It provides detailed dashboards that help in tracking and understanding model performance over time.
  • Open-Source: As an open-source tool, it allows users to customize and extend its functionality, ensuring it meets specific needs.
  • Automated Reporting: The platform automates the creation of reports, saving time and reducing manual effort in analyzing model outputs.
  • Community Support: Being open-source, it has a community that contributes to its growth and provides support, making it reliable and up-to-date.

Recommended for

  • Data Scientists: To streamline model monitoring and gain insights into model performance.
  • Machine Learning Engineers: To automate the reporting and monitoring process, ensuring models perform optimally.
  • Organizations: That need a scalable and customizable solution for machine learning model reporting and monitoring.
  • Companies Looking for Open-Source Solutions: Those who prefer open-source tools for flexibility and cost-effectiveness.

Analysis of CodeSandbox

Overall verdict

  • Yes, CodeSandbox is a highly regarded tool among developers, especially for quick prototyping and collaborative coding.

Why this product is good

  • Ease of Use: CodeSandbox provides an intuitive and user-friendly interface, making it accessible for beginners and efficient for experienced developers.
  • Collaboration: Real-time collaborative features allow multiple developers to work on the same project simultaneously.
  • Integration: It offers seamless integration with popular version control systems like GitHub, making it easy to import/export projects.
  • Environment: Supports a wide range of JavaScript frameworks and libraries, such as React, Vue, and Angular, enabling rapid building of applications.
  • Cloud-Based: Being cloud-based means no setup is required, and projects can be accessed anywhere with an internet connection.

Recommended for

  • Front-end Developers: Suitable for developers who want to quickly build and test front-end applications without local setup.
  • Educators and Students: Ideal for teaching and learning coding due to its collaborative and interactive code editing features.
  • Prototypers: Those looking for a fast way to prototype ideas in a conducive and integrated environment.
  • Open Source Contributors: Simplifies the process of reviewing and testing contributions to open-source projects.

Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

CodeSandbox videos

A browser IDE that's actually GOOD? (CodeSandbox.io Review!)

More videos:

Category Popularity

0-100% (relative to Evidently AI and CodeSandbox)
AI
100 100%
0% 0
Text Editors
0 0%
100% 100
Developer Tools
100 100%
0% 0
Programming
0 0%
100% 100

User comments

Share your experience with using Evidently AI and CodeSandbox. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Evidently AI and CodeSandbox

Evidently AI Reviews

We have no reviews of Evidently AI yet.
Be the first one to post

CodeSandbox Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Codesandbox is an online code editor and prototyping tool that makes creating and sharing web apps faster. Codesandbox: Online code editor and ide for rapid web development.
12 Best Online IDE and Code Editors to Develop Web Applications
CodeSandbox can be thought of as a much more powerful and complete take on JSFiddle. True to its name, CodeSandbox provides a complete code editor experience and a sandboxed environment for front-end development.
Source: geekflare.com

Social recommendations and mentions

Based on our record, CodeSandbox seems to be a lot more popular than Evidently AI. While we know about 310 links to CodeSandbox, we've tracked only 2 mentions of Evidently AI. 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.

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 3 years ago
  • Five Data Quality Tools You Should Know
    Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 3 years ago

CodeSandbox mentions (310)

  • How To Install Shadcn UI In React JS
    CodeSandbox Examples: Check out CodeSandbox for live projects using Shadcn UI. It’s a great way to see the toolkit in action. - Source: dev.to / 2 months ago
  • Thankful for CodeSandbox
    I am thankful for a platform like CodeSandbox because it allows me to offload majority of the processing power and memory resources to the cloud. With a local VS Code installed, I can tunnel in via a remote connection to work on my projects, tinker, or do a deep-dive on certain topics; all while ensuring that the RPi 4 still has sufficient resources left to run other things in the background. - Source: dev.to / 2 months ago
  • Some useful .new "shortcut" domains
    To create a new React JS environment in CodeSandbox. Similar domains include js.new, vue.new, etc.,. - Source: dev.to / 4 months ago
  • Sonos CEO Patrick Spence steps down after app update debacle
    I have, it's called Visual Studio Code and I ditched my old native editor(s) for it. I'd even suggest that the fact that it's JS based has significantly changed the tech world because the editor itself will run in a browser so it's here https://godbolt.org/ , and here https://codesandbox.io, and here https://www.postman.com/, and here https://aws.amazon.com/pm/cloud9/ and 100s or 1000s of other sites. - Source: Hacker News / 4 months ago
  • React Native Online Compiler: Compare the Top 5 Platforms for Your Development Needs
    CodeSandbox for web-first collaborative projects. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Evidently AI and CodeSandbox, you can also consider the following products

ML5.js - Friendly machine learning for the web

CodePen - A front end web development playground.

Lobe - Visual tool for building custom deep learning models

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

JSFiddle - Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.