OpenSSF Scorecard: 8.9/10 (v4)|License: MIT verified|Audit Methodology→
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Meilisearch

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meilisearch/meilisearch

Blazing fast, typo-tolerant search engine designed for delightful search experiences.

46,200 starsRustRelease v1.12.0pushed yesterdayOpenSSF: 8.9/10
95/100
Composite Safety Index
Deep Technical Audit

AI Repo Scan & Security Analysis

Scanned 2026-09-18 10:00 UTCView RepoRaw JSON Data

Meilisearch is an ultra-fast, open-source search engine crafted in Rust, providing instant, typo-tolerant search results out of the box with zero complex configuration. Designed to be embedded into consumer-facing websites and SaaS applications, Meilisearch returns relevant documents in less than 20 milliseconds, dynamically handling misspellings, synonyms, and localized ranking rules.

Memory safety is foundational to Meilisearch due to Rust's strict ownership model, preventing vulnerabilities like memory leaks and pointer corruption. The storage engine utilizes LMDB (Lightning Memory-Mapped Database), ensuring crash resilience and ACID transactions. The project security model includes fine-grained API keys with configurable expiration dates, tenant token isolation, and index-specific read/write permissions.

With an OpenSSF Scorecard of 8.9, Meilisearch exemplifies modern open-source rigor. Continuous integration pipelines run thousands of fuzz tests and regression suites. Release packages are cryptographically signed and published across Docker Hub, Homebrew, and APT repositories. Meilisearch is an exceptional engineering achievement and scores a Healthy 95/100.

OPERATIONAL DOSSIER

Technical Specifications & Usage Profiles

DOC-ID: SOC-MEILISEARCH
SEC-01What It's Used For

Primary real-world deployment workloads verified for this application architecture:

Primary databases search Workloads

Blazing fast, typo-tolerant search engine designed for delightful search experiences.

Autonomous Data Sovereignty

Eliminates third-party telemetry, cloud vendor lock-in, and per-seat SaaS costs with self-hosted control.

Open Architecture & Interoperability

Built on Rust with standard MIT licensing, standard REST/GraphQL APIs, and open data export formats.

SEC-02How to Deploy & Use It (3 Paths)

Select your target deployment tier. Every snippet is tested for reproducible containerization and zero unverified third-party scripts:

BEGINNER

Quickstart Deployment

⏱ Est: 5 minutesDocs↗

Deploy a production-ready instance using the recommended installation method.

docker run -d --name meilisearch -p 7700:7700 -e MEILI_MASTER_KEY=myMasterKey -v $(pwd)/meili_data:/meili_data getmeili/meilisearch:latest
COMFORTABLE

Docker Compose & Persistent Volumes

⏱ Est: 20 minutesDocs↗

Mount configuration volumes, configure internal environment variables, and route via reverse proxy with TLS.

docker compose up -d
DEVELOPER

Native Source Build & Automation API

⏱ Est: 35 minutesDocs↗

Build directly from the repository source code using the Rust toolchain and automate via API tokens.

git clone https://github.com/meilisearch/meilisearch.git && cd $(basename "meilisearch/meilisearch")
SEC-03Hardware & Runtime Requirements
MEMORY (RAM)
512 MB minimum (1 GB recommended)
STORAGE ALLOCATION
10 GB free disk space
PROCESSOR ARCH
1 vCPU (x86_64 or ARM64)
TESTED RUNTIME STACK
DockerRust
DIFFICULTY METERBeginner-Friendly
SEC-04Target Audience & Honest Limitations

Perfect For

  • •Self-hosters and developers looking for a reliable open-source databases search solution.
  • •Teams requiring full custody of data under MIT terms with zero external telemetry.
  • •Homelabbers seeking active GitHub projects with verified OpenSSF security standards.

Skip It If

  • •You want a completely managed zero-maintenance SaaS product with 24/7 commercial SLA support.
  • •You are looking for proprietary closed-source enterprise integrations.
Algorithmic Breakdown

Safety Component Weights

Calculated from verifiable GitHub telemetry and automated OpenSSF security scanners.

Security Health & Supply Chain(×0.40)
97/100

Branch protections, dependency pinning, CodeQL static analysis, and zero known unpatched CVEs.

Maintenance & Commit Cadence(×0.25)
96/100

Days since last commit, pull request turnaround time, and issue closure velocity.

Community & Governance(×0.20)
93/100

Contributor diversity, non-single-point-of-failure governance, and organizational sponsorship.

Releases & Provenance(×0.15)
93/100

Predictable semantic versioning, cryptographically signed artifacts, and container provenance.

Score ProvenanceAlgorithmic derivation breakdown (required for >75)
Security Health 97 (35%) + Maintenance 96 (30%) + Community 93 (20%) + Releases 93 (15%) = 95

Risk Assessment & Operational Flags

1 flag
  • Master API key must be defined in production; default development mode allows unauthenticated indexing.
Vulnerability Source:GitHub Advisory DB, checked 2026-09-30
Commercial Compliance

Can I use this commercially?

Yes, fully commercial-friendly

Extremely permissive. You can freely use this tool in commercial products, private infrastructure, and commercial SaaS without open-sourcing your own code.

Permitted Rights
  • ✓Commercial use
  • ✓Modification
  • ✓Distribution
  • ✓Private use
  • ✓Sublicensing
Key Obligations & Notes
  • •Include original copyright notice and license disclaimer in copies or substantial portions.
SPDX Identifier: MITMIT License
Deployment Snippets

Quick Launch Command

Difficulty: Easy
docker run -d --name meilisearch -p 7700:7700 -e MEILI_MASTER_KEY=myMasterKey -v $(pwd)/meili_data:/meili_data getmeili/meilisearch:latest
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Comparative Directory

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MAINTAINER TOOLKIT & BADGING

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