
D3.js
p5.js
Paper.js
Highcharts
Snap.svg
RAWGraphs
Google Charts
Raphael.js is an Object Oriented drawing library. It is good at making in-depth diagrams with complex interactions.

NightMe.dev
Linksii
GitHub Codespaces
you.bot
Gitpod
Conductor
Atlas.org
Shared cloud environments for AI coding agents. Run Claude Code, Cursor CLI, Codex, and Gemini CLI from any device, API, or automation tool.

Which is more popular?
Based on our record, Raphael seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | dmitrybaranovskiy.github.io | cloudcli.ai |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the Netherlands · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Raphael yet.
Most engineering teams run AI coding agents on individual laptops. Close the lid, lose the session. When a new developer joins, they spend hours recreating the same setup. CloudCLI gives your team shared cloud environments where AI agents run 24/7. Every developer gets their own isolated...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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Walkthroughs and reviews on video.
NECA Teenage Mutant Ninja Turtles 1990 Movie Raphael (Gamestop Exclusive) | Video Review
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Raphael and CloudCLI.
CloudCLI's answer:
CloudCLI is built with a modern JavaScript/TypeScript stack:
The entire codebase is open source under AGPL-3 and available on GitHub.
CloudCLI's answer:
Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:
CloudCLI's answer:
CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.
CloudCLI's answer:
CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.
CloudCLI's answer:
CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at €7/month.
Share your experience with using Raphael and CloudCLI. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Raphaël is a small JavaScript library that should simplify your work with vector graphics on the web. If you want to create your own specific chart or image crop and rotate widget, for example, you can achieve it...
We have no reviews of CloudCLI yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


You could also directly use libraries like Raphael or D3(lots of the tools around use D3.js as their core rendering library) if you just want help with drawing the SVG elements and connectors ... That is, if you're going to pull the data... Source: almost 5 years ago
In those darker times I used Raphaël to build charts and drag-drop UIs. Maybe check it out? Source: about 5 years ago
Tracking CloudCLI since Mar 2026.
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Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.
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GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
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