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Ferret
A curated research-sharing platform and open-access archive for scholarly articles.
Researched with AIData refreshed 57 minutes ago5 sourcesUpdated 3 times this year
Data refreshed 57 minutes ago5 sources
Open SourceArtificial Intelligence
A curated research-sharing platform and open-access archive for scholarly articles.
Researched with AIData refreshed 57 minutes ago5 sourcesUpdated 3 times this year
Data refreshed 57 minutes ago5 sources
Open SourceArtificial Intelligence
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Mindber finds Ferret to be an intriguing but ultimately niche experiment in multimodal AI, one that shows genuine technical ambition from Apple’s research team but falls short of practical viability for most users.
- What is Ferret?
- A curated research-sharing platform and open-access archive for scholarly articles.
- Who is it for?
- AI researchers who need to experiment with multimodal grounding and spatial reference understanding; better than closed-source MLLMs for full model access and modification.
- Alternatives
- crewAI,FlowMarket,LTX Studio
Product information
What this product does
A new type of multimodal large language model (MLLM) from Apple that excels in both image understanding and language processing, particularly demonstrating significant advantages in understanding spatial references.
Sourced from arxiv.org
Works With
Platforms
- Web
- API
Problem Solved
What problem does Ferret solve?
It provides a free, open-access repository for researchers to share and discover scholarly articles before formal peer review, accelerating the dissemination of scientific knowledge.
Company & Maker
Who built Ferret?
- Product
- A curated research-sharing platform and open-access archive for scholarly articles.
- Live since
- Jan 1991
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 57 minutes ago · How we score
Full Report Access
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Ferret is an open-source multimodal large language model from Apple that understands images and language, with a focus on spatial references. It is used by AI researchers and developers to build and study models that refer to and ground objects anywhere at any granularity.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Submitting pre-print research articles
- Discovering recent scholarly work
- Accessing open-access research archives
- Sharing research before journal publication
- Using API for machine access to articles
- Generates bounding boxes and masks for objects referenced in natural language queries.
Inferred from public dataView source →
1-3 days for environment setup and initial inferenceDeveloper requiredSoloSmall teamMid-market
Pricing reality
Vendor stated
Free and open-source (no pricing page found)
Actual cost
Compute costs for training or inference on GPUs; potential cloud costs if hosted
Hidden costs
2 hidden cost warnings — unlock to view
Migration effort from 4 platforms analyzed
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
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Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.
What pricing pages often hide
Auto-renewal is often on by default and refunds are narrow.
Beta, Linux, or recovery edge cases often ship without SLA coverage.
Team and business tiers usually move to sales-led quoting.
One-time or lifetime offers tend to disappear at version boundaries.
True cost for your case
LIVE ESTIMATEEstimated spend
--Starting price has not been verified from a linked pricing source yet.
Compare this product in-line
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
Score locked
HOW THIS TOOL SCORES
Scores compare this tool with 49 similar tools in Open Source. Use it to judge Innovation and Capability before you shortlist.
Updated Oct 13, 2026Baseline refreshed Jun 24, 2026
Innovation Index™
Is it new, different, and easy to understand?
above median7.7/10
Does it stand out from similar tools?7.0/10
Is this idea actually new?8.0/10
Can buyers understand it quickly?8.0/10
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Top 25%5.5/10
Does it cover the core jobs?6.0/10
Are the main features deep enough?6.0/10
Will it fit into your stack?5.0/10
Can users trust it to stay usable?4.7/10
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Category baseline: Open SourceInnovation median: 7.7Capability median: 4.8n = 49
Data sources
Features detected: 8Engagement: declining (24/100)Homepage load: 0.0sBaseline source: live product websites
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Google Trends live interest
Live Google Trends data for Ferret: interest over time, regions, topics, and related queries.
Tracks 12-month Google search interest on a 0-100 relative interest scale.
Includes regional demand, so readers can see where search interest is strongest.
Includes related topics and related queries to surface adjacent demand and search intent.
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Showing top 3 of 4 linked mentions.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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Community audits
Member opinion — not a Mindber assessment
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About this data: Activity signals and intelligence cards are aggregated from public sources and reviewed by editors. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more