# Gumloop vs SciFig

Gumloop records 379,557 monthly visits with -21.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. SciFig records 91,473 monthly visits with +4.7% growth and Freemium pricing.

| Metric | [Gumloop](https://openaitools.app/tool/gumloop) | [SciFig](https://openaitools.app/tool/scifig) |
| :--- | :--- | :--- |
| Website URL | https://www.gumloop.com | https://scifig.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Agent, AI Web Scraping | AI Image Generator, AI Background Remover, AI Image Enhancer, AI Image Upscaler |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 379,557 | 91,473 |
| MoM Growth Rate | -21.1% | +4.7% |
| Primary Market | United States | United States |
| Direct Visits | 125,579 | 23,551 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## Gumloop

Gumloop positions itself as "agent infrastructure" for teams that want AI to execute work rather than just answer questions. You describe a task in plain language, pick a model, attach the connectors your company already uses (Slack, HubSpot, Salesforce, Gmail, Gong, and hundreds more), and the agent runs it — on a schedule, on a trigger, or in a shared chat where colleagues can @mention it. Everything the agent can do is mirrored from what a human would do, including logging into sites with a saved credential, clicking through interfaces, uploading files, and pulling data back out.

A big part of the pitch is governance. Gumloop puts credentials in a vault agents can use without ever seeing, records every browser session step by step with passwords masked, and gives admins role-based access, audit logs, AI spend insights, and per-agent model controls. Multiple providers — Anthropic, OpenAI, Google, xAI and open models — are available side by side, so teams can route cheap work to cheap models and hard reasoning to frontier ones.

Pricing is usage-based with a credit system layered on top of a seat-free plan structure. The Pro tier starts at $37/month and bundles 20,000 credits, unlimited agents and unlimited seats, plus an orchestration fee on top of usage; Enterprise adds custom pricing, VPC options, SSO/SCIM, connector policies and dedicated support. There is a 14-day free trial to start.

**Pricing & Plans:** 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales.

- **No-code agent builder:** Describe the outcome you want and let teammates who understand the problem assemble the agent — no scripting or learning curve required.
- **400+ connectors and app triggers:** Wire agents into Slack, HubSpot, Salesforce, Gmail, Gong, NetSuite, Shopify and hundreds more tools, then fire them on schedules, webhooks or events.
- **Real browser with a credential vault:** Agents sign in with saved logins or 1Password, browse from trusted connections, clear CAPTCHAs, and hand the live session to a human when needed.
- **Any model, side by side:** Run 35+ models from Anthropic, OpenAI, Google, xAI and open-source providers, or bring your own API keys, with per-agent access control.
- **Enterprise governance by default:** Session recordings with masked passwords, audit logs, SCIM/SAML, role-based access, AI spend insights and custom data-retention rules.

**Strengths:** Genuinely no-code: non-engineers can ship working agents without touching Python or JSON; Very broad connector library plus a real browser, so agents can reach tools that have no API; Strong enterprise controls — credential vault, masked session recordings, audit logs, RBAC, SSO; Model-agnostic with BYO API keys, which helps control cost and avoid lock-in

**Limitations:** Credit-plus-orchestration-fee pricing can be hard to forecast at high volume; The platform is evolving fast from workflows toward agents, so some docs and legacy features may feel transitional; Unlimited seats means real cost scales with usage rather than headcount, which surprises some buyers; Advanced governance (VPC, policies, dedicated support) sits behind custom Enterprise pricing

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

## SciFig

SciFig is built around the observation that most papers need more than one kind of figure, and that juggling several unrelated tools for illustrations, plots and diagrams wastes time. Its Illustration workspace accepts six input modes: a written description, a rough sketch, a lab photo, a PDF of an existing paper, a reference figure to imitate in style, and photo-to-figure conversion. From any of these it produces scientific images of mechanisms, pathways, cross-sections and graphical abstracts, drawing on hundreds of templates across multiple disciplines.

The DataChart workspace is the quantitative side. Upload a CSV or Excel file, describe the chart you want, and SciFig plots it in journal-consistent styles with colorblind-safe palettes. The chart library is deliberately deep and organized by research need — basic and trend charts, distribution and statistics plots such as violin, box and raincloud charts, relationship and model plots like regression and Bland–Altman, biomedical staples including volcano plots and Kaplan–Meier survival curves, plus flows and structures such as heatmaps and Sankey diagrams. Charts ship with the statistics and the Python code that produced them, which matters when a reviewer asks how a figure was made.

FlowChart covers the qualitative diagrams: PRISMA and CONSORT screening flows, model architectures, cycle diagrams and research timelines, described in plain language and returned as editable diagrams rather than static images. Across all three engines the editability is the real differentiator — you can retype a label, redraw one region, switch journal style or palette, or move a box and its arrows without regenerating the whole figure. Export options include editable PPTX, layered SVG, 8K PNG/JPG, and for data charts also PDF, EPS and TIFF, so figures survive poster, manuscript and presentation formats alike.

**Pricing & Plans:** Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

- **Three dedicated engines: Illustration, DataChart and FlowCha:** Three dedicated engines: Illustration, DataChart and FlowChart for scientific images, data plots and protocol diagrams respectively
- **Six illustration input modes: text, sketch, photo, PDF, refe:** Six illustration input modes: text, sketch, photo, PDF, reference figure and photo enhancement, backed by hundreds of discipline-specific templates
- **Data charts straight from CSV or Excel across around 50 char:** Data charts straight from CSV or Excel across around 50 chart types, including volcano plots, survival curves, forest plots and heatmaps
- **Fully editable output: change any label, recolor, redraw a r:** Fully editable output: change any label, recolor, redraw a region or shift a box and its arrows without regenerating the figure
- **Researcher-friendly export: layered SVG, editable PPTX, 8K P:** Researcher-friendly export: layered SVG, editable PPTX, 8K PNG/JPG, plus PDF, EPS and TIFF for charts, with journal styles and colorblind-safe palettes

**Strengths:** Purpose-built for research figures rather than generic AI image generation, with journal styles and colorblind-safe palettes; Strong editability after generation, so a figure can be refined instead of regenerated from scratch; Data charts are plotted from your actual numbers and come with the statistics and Python code; Wide export coverage including layered SVG, editable PPTX and print-grade TIFF/EPS

**Limitations:** Scientific accuracy still depends on your input: descriptions and extracted text must be checked before publication; Credit-based pricing means heavy figure production can consume the allowance quickly; The enormous tool and template catalog can feel overwhelming for a first-time user

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

## Frequently Asked Questions

### How do Gumloop and SciFig compare in monthly traffic?

Gumloop has 379,557 monthly visits, while SciFig has 91,473. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Gumloop has a month-over-month growth rate of -21.1%; SciFig has +4.7%.

### How does pricing compare?

Gumloop: Freemium, Paid, Contact for Pricing. 14-day free trial; Pro starts at $37/month including 20,000 credits with unlimited agents and seats plus an orchestration fee on usage; Enterprise is custom-priced with contact sales. SciFig: Freemium. Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Executes autonomous multi-step web browser tasks, offering stronger general agentic execution than Gumloop's structured node pipelines. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Connects thousands of popular apps with robust traditional automations, but offers less native AI agent flexibility than Gumloop. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Provides powerful open-source node-based workflow automation, giving you more self-hosting control and flexibility than Gumloop. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Provides a visual builder for custom AI agents and workflows, similar to Gumloop's automation capabilities. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | Builds recurring automated business workflows connected to enterprise applications, mirroring Gumloop's integration focus. | [.md](https://openaitools.app/tool/creao.md) |
| 6 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Combines AI task management with workflow automation, offering a more collaborative workspace than Gumloop's data pipeline focus. | [.md](https://openaitools.app/tool/taskade.md) |
| 7 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses specifically on cloud web scraping and lead generation automation rather than general AI agent workflows. | [.md](https://openaitools.app/tool/phantombuster.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Delivers enterprise-grade security and governance for automated workflows, but requires more deliberate setup than Gumloop. | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Offers an open-source automation builder with prebuilt connectors, providing a self-hostable alternative to Gumloop's cloud platform. | [.md](https://openaitools.app/tool/activepieces.md) |
| 10 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | Excels at automated document processing and data extraction, whereas Gumloop handles broader web automation and multi-app workflows. | [.md](https://openaitools.app/tool/nanonets.md) |

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Source: https://openaitools.app/compare/gumloop-vs-scifig

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