# Devin vs FigEditor

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. FigEditor records 5,965 monthly visits with +11.4% growth and Freemium, Paid pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [FigEditor](https://openaitools.app/tool/figeditor) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://figeditor.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Diagram Generator, AI SVG Generator, AI Illustration Generator, AI Image Generator |
| Pricing Model | Paid | Freemium, Paid |
| Monthly Visits | 2,549,346 | 5,965 |
| MoM Growth Rate | +1% | +11.4% |
| Primary Market | United States | United States |
| Direct Visits | 1,386,401 | 2,015 |
| Review Score | 4.3 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | website | Website |

## Devin

Devin sits at the agentic end of the AI coding spectrum. Instead of suggesting the next line, it takes a ticket-level goal - "add SAML SSO for enterprise customers" or "investigate this API latency spike" - explores the codebase across repositories, implements changes, runs tests, and explains the resulting pull request in plain language. It maintains a wiki-style map of the codebase so it can navigate unfamiliar services and keep documentation current as the code changes.

A defining feature is that Devin works on its own machine. It provisions Windows, Mac, and Linux virtual machines as needed, builds the project, exercises it in a browser, and can record itself clicking through the feature it just built. Long-running work continues in the cloud when your laptop is closed, and large tasks can be split across parallel agents that Devin coordinates and reports on.

For teams, Devin extends beyond one-off prompts. You can tag @Devin in Slack or Teams so it reads a thread and replies with a PR, set up automations that fix failing tests or patch vulnerable dependencies as they appear, and run security reviews. Pricing is seat-based and enterprise-oriented, with an Ultra tier for heavier autonomous usage, and Cognition has marketed large security-credit programs for enterprises.

**Pricing & Plans:** Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers.

- **End-to-end autonomous coding:** Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.
- **Its own virtual machines:** Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.
- **Slack, Teams, and alert integration:** Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.
- **Parallel cloud agents:** Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.
- **Codebase wiki and automations:** Devin maintains a living map of the architecture and supports recurring automations such as dependency upgrades, test fixes, and security scans.

**Strengths:** Handles ticket-level autonomous work rather than only suggesting code completions; Tests in its own browser and VMs, which catches issues that pure code generation misses; Deep workflow integration with Slack, Teams, CI, and alerting tools; Keeps working in parallel cloud agents even when your machine is off

**Limitations:** Premium, seat-based pricing puts it out of reach for casual individual use; Complex or poorly specified tasks still need human review before merging; Maximum value depends on having a well-structured repo and clean test setup

[Profile (Markdown)](https://openaitools.app/tool/devin.md)

## FigEditor

FigEditor is an AI scientific figure generator aimed squarely at research communication rather than general image generation. The premise is familiar to anyone who has rebuilt a figure at midnight before a deadline: describe a mechanism, pathway or experimental workflow in text, upload a rough hand sketch, or hand it a reference image for style direction, and FigEditor returns a structured first draft. Because the draft already has labeled elements, arrows and an organized layout, the hard part of figure building — deciding what goes where — is largely done before you open a drawing tool.

The distinguishing capability is refinement. You can select a region and revise labels, arrows, modules, colors or layout without starting over, which matters because scientific figures fail on details: a mislabeled node or an arrow pointing the wrong way invalidates the whole graphic. Export is designed for downstream work, offering editable SVG as well as high-resolution PNG, so a figure can move into a paper, poster or slide deck and still be adjusted later. A companion vectorizer converts an existing flat PNG or JPG figure back into scalable assets, useful for recycling diagrams from earlier publications.

Beyond the core generator, FigEditor bundles specialized tools for tasks that researchers actually face: flowcharts, graphical abstracts, scientific posters, journal covers, infographics, conceptual and theoretical frameworks, mind and concept maps, pedigree charts, and data visuals such as bar charts, pie charts and heatmaps. Under the hood it offers several image model options, including third-party models marketed under names such as Nano Banana and GPT Image 2. Note that FigEditor is an independent platform and is not affiliated with, endorsed by, or produced by Google, OpenAI or any model vendor whose name appears in its interface. Pricing starts with free credits and moves to one-time credit packs that never expire, which suits the spiky workload of academic writing.

**Pricing & Plans:** Free starting credits plus one-time credit packs that never expire (225 credits at $9.9, 680 credits at $29.9, and 2,020 credits at $89, roughly $0.44–0.45 per image), with monthly and yearly options. Credit packs include paid feature access and watermark-free downloads.

- **Text, sketch and reference inputs:** Describe a mechanism, pathway or experiment; upload a rough sketch; or supply a reference image to guide composition, palette and density for your own content.
- **Region-level refinement:** Select any region to revise labels, arrows, modules, colors or layout, so you correct details on the existing draft instead of regenerating everything.
- **Editable SVG and high-resolution PNG export:** Leave with a vector file you can keep editing in your design or presentation tool, or a high-resolution raster for submission and posters.
- **Figure vectorizer:** Convert an existing PNG or JPG figure into scalable vector assets so older figures can be relabeled, recolored and relaid out.
- **Specialized figure tools:** Dedicated workflows for flowcharts, graphical abstracts, scientific posters, journal covers, infographics, concept and mind maps, pedigrees, and charts such as heatmaps and bar charts.

**Strengths:** Figures come out structured and editable rather than as flat images, with editable SVG export; Region-level editing means you correct one label or arrow instead of regenerating the whole figure; Dedicated workflows for graphical abstracts, posters and flowcharts cover real publication needs; One-time credit packs never expire, which fits irregular academic workloads

**Limitations:** Generated figures still require expert scientific review before submission; the tool cannot validate your mechanism; Advanced figure, SVG, flowchart and poster workflows sit behind paid credit packs; Model naming may cause confusion about affiliation, since FigEditor is an independent third-party platform

[Profile (Markdown)](https://openaitools.app/tool/figeditor.md)

## Frequently Asked Questions

### How do Devin and FigEditor compare in monthly traffic?

Devin has 2,549,346 monthly visits, while FigEditor has 5,965. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; FigEditor has +11.4%.

### How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. FigEditor: Freemium, Paid. Free starting credits plus one-time credit packs that never expire (225 credits at $9.9, 680 credits at $29.9, and 2,020 credits at $89, roughly $0.44–0.45 per image), with monthly and yearly options. Credit packs include paid feature access and watermark-free downloads.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor providing advanced multi-file code generation and editing, though less fully autonomous end-to-end than Devin. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows. | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agentic development platform running parallel AI coding agents across an IDE and CLI workspace. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | A cloud development platform featuring an AI agent that builds, runs, and deploys full-stack apps automatically. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform and IDE plugin that reads entire codebases to execute complex multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | An AWS spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies software engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | An enterprise AI software development platform featuring a context engine and multi-agent software development lifecycle orchestration. | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/devin-vs-figeditor

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