# Constellab vs Rayyan

Constellab records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Rayyan records 1,116,437 monthly visits with +7.9% growth and Freemium pricing.

| Metric | [Constellab](https://openaitools.app/tool/constellab) | [Rayyan](https://openaitools.app/tool/rayyan) |
| :--- | :--- | :--- |
| Website URL | https://constellab.io | https://www.rayyan.ai |
| Categories | AI Healthcare, AI For Data Analytics, AI Workflow, AI Knowledge Base | AI Research Tool, AI Productivity Tools, AI Project Management, AI Workflow |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 0 | 1,116,437 |
| MoM Growth Rate | 0% | +7.9% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 677,880 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 1 | 1 |
| Supported Platforms | Website | Website |

## Constellab

Constellab is a sovereign European data and AI platform for life sciences and digital health, developed by Gencovery and designed 'by scientists, for scientists'. It acts as an all-in-one innovation hub that consolidates, transforms and valorises scientific data, connecting teams, datasets and instruments so research can move from raw data to insight without stitching together disconnected tools.

The platform is built around the idea of a digital lab: a modular environment assembled from reusable bricks, each adding a capability such as omics analysis, microbial genomics or biomath conversion. Teams combine these bricks into tailored workflows, then run, share and reuse them. Related apps, including community-built tools, extend the ecosystem further.

Sovereignty is central to the proposition. Constellab can run in the cloud, on-premises or at the edge, keeping sensitive data under the organisation's control, and every step of a workflow is traceable to support reproducibility. A companion community platform shares knowledge and best practices, while the open-source foundations are published on GitHub. Pricing is arranged with Gencovery based on user type and deployment.

**Pricing & Plans:** Constellab is priced on request. Gencovery offers flexible options that differ for individuals, organisations and academic users, and by deployment model (cloud, on-premises or edge). Contact the team for a tailored quote.

- **Customisable Digital Labs:** Assemble analysis pipelines from reusable method bricks so scientific workflows are reproducible and easy to share across teams.
- **Data Consolidation & Harmonisation:** Bring together data from instruments, files and external sources into one governed, traceable environment.
- **Sovereign & Secure Deployment:** Choose cloud, on-premises or edge deployment so sensitive life-sciences data stays where governance requires.
- **Project, Search & Analytics Suite:** Manage research projects, search across datasets and run analyses from a unified workspace built for scientific teams.
- **Traceability & Governance:** Track how data moves through every step of a workflow to support reproducibility and regulatory expectations.

**Strengths:** Purpose-built for life-sciences and health data rather than general-purpose analytics; Modular brick architecture makes digital labs configurable to very specific domains; Sovereign deployment options keep sensitive research data under organisational control; Strong traceability supports reproducibility and governance requirements

**Limitations:** Pricing is not published publicly and requires contacting sales; The platform is broad, so small teams may only use a fraction of its capabilities; Best suited to life-sciences and health organisations rather than general business use; Self-hosting on-premises or at the edge adds infrastructure overhead

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

## Rayyan

Rayyan is a dedicated platform for systematic literature reviews and evidence synthesis, used by more than a million researchers at tens of thousands of institutions across over 190 countries. Rather than being a general reference manager, it maps directly onto the standard review pipeline: importing references from multiple sources, organizing them into a library, inviting collaborators with defined roles, deduplicating the corpus, and then working through title and abstract screening followed by full-text screening with conflict resolution.

The AI layer centers on ResearchPilot, which provides zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and automated data extraction designed to be dramatically faster than manual workflows. Rayyan also ships a Systematic Auto-Resolver that can deduplicate up to 200,000 references based on your own protocol in a single action, plus a mobile app that lets reviewers screen studies on the go or even offline. Small productivity touches like programmable hot keys and randomized data sampling help teams divide large workloads without losing coordination.

Beyond screening, Rayyan covers the back half of a review too. Teams define structured data extraction fields, apply PICO frameworks to structure evaluation, capture study-level data, assess Risk of Bias with dedicated tooling, and generate PRISMA flow diagrams for publication. A strong emphasis on auditability and transparency means every decision is traceable and reproducible. An API is available to extend Rayyan beyond the interface, and pricing runs from a generous free tier for basic use up to enterprise plans for institutional research programs.

**Pricing & Plans:** Free forever for basic use with no credit card required, making core screening and deduplication accessible to individual researchers. Paid and enterprise plans unlock advanced capabilities such as ResearchPilot, Risk of Bias, and institutional features; pricing details are available on the site and through sales.

- **Automatic deduplication:** The Systematic Auto-Resolver deduplicates up to 200,000 references using your own inclusion and exclusion protocol with one click.
- **ResearchPilot AI:** ResearchPilot delivers zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and auto-extraction to speed up search, screening, and data capture.
- **Screening and conflict resolution:** Work through title, abstract, and full-text screening with inclusion and exclusion tagging, conflict resolution, and blinded reviewer modes.
- **Data extraction and PRISMA reporting:** Capture structured study data with configurable extraction fields, apply PICO frameworks, and export results with auto-generated PRISMA diagrams.
- **Collaboration and scalability:** Randomly sample subsets, divide workloads, manage roles, and screen offline via the mobile app, with full audit trails for reproducibility.

**Strengths:** Covers the full systematic review workflow from import to PRISMA export; ResearchPilot AI speeds up search, screening, and extraction; Deduplicates up to 200,000 references from your own protocol; Offline-capable mobile app for screening anywhere

**Limitations:** Full-text screening workflows still demand significant reviewer time; Some advanced AI capabilities are aimed at enterprise and institutional plans; Requires structuring your review protocol to get the most from automation

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

## Frequently Asked Questions

### How do Constellab and Rayyan compare in monthly traffic?

Constellab has 0 monthly visits, while Rayyan has 1,116,437. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Constellab has a month-over-month growth rate of 0%; Rayyan has +7.9%.

### How does pricing compare?

Constellab: Contact for Pricing. Constellab is priced on request. Gencovery offers flexible options that differ for individuals, organisations and academic users, and by deployment model (cloud, on-premises or edge). Contact the team for a tailored quote. Rayyan: Freemium. Free forever for basic use with no credit card required, making core screening and deduplication accessible to individual researchers. Paid and enterprise plans unlock advanced capabilities such as ResearchPilot, Risk of Bias, and institutional features; pricing details are available on the site and through sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | Provides a completely free and open academic search database, but lacks collaborative literature review screening tools. | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | Great for finding scientific agreement and evidence-backed answers, but lacks dedicated screening queues and systematic review extraction forms. | [.md](https://openaitools.app/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Excellent for reading, chatting with, and summarizing individual papers, but less structured for multi-reviewer systematic review screening. | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Stronger automated data extraction and evidence synthesis from papers, but less focused on collaborative title and abstract screening workflows. | [.md](https://openaitools.app/tool/elicit.md) |
| 5 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Offers powerful citation analysis and smart citation metrics, but is less tailored for full PRISMA systematic review workflows. | [.md](https://openaitools.app/tool/scite.md) |
| 6 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Visualizes citation networks and paper relationships wonderfully, but lacks Rayyan's screening, tagging, and exclusion tracking features. | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 7 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Provides intuitive visual maps of academic literature connections, but doesn't support systematic review screening or data extraction. | [.md](https://openaitools.app/tool/connected-papers.md) |
| 8 | [Paperguide](https://openaitools.app/tool/paperguide) | 371,972 | -2.9% | Freemium | Provides solid literature search and reference management tools, but lacks Rayyan's specialized collaborative screening interface. | [.md](https://openaitools.app/tool/paperguide.md) |
| 9 | [Scholarcy](https://openaitools.app/tool/scholarcy) | 195,058 | +4.6% | Freemium | Summarizes academic papers into interactive flashcards, but misses comprehensive systematic review screening pipelines. | [.md](https://openaitools.app/tool/scholarcy.md) |
| 10 | [Paper Digest](https://openaitools.app/tool/paper-digest) | 97,202 | -7.1% | Freemium | Generates automated summaries of academic literature, but lacks Rayyan's collaborative team screening and evidence extraction tools. | [.md](https://openaitools.app/tool/paper-digest.md) |

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Source: https://openaitools.app/compare/constellab-vs-rayyan

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