zama-ai/concrete

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1574 stars · 213 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Concrete is an open-source fully homomorphic encryption (FHE) compiler built on TFHE and LLVM that converts Python programs into their FHE equivalents. It lets developers compute on encrypted data without cryptography expertise, with automatic parameter selection and GPU acceleration.

Use cases

• run computations on encrypted data without decrypting it
• build privacy-preserving services that survive server breaches
• convert existing Python functions into FHE programs
• comply with GDPR by processing user data encrypted
• accelerate homomorphic computations on GPU
• build privacy-preserving machine learning inference (via Concrete ML)

When to choose

• you need to compute on encrypted data in Python without deep cryptography knowledge
• you want built-in security guarantees and automatic FHE parameter selection
• you need GPU-accelerated homomorphic encryption
• you are building privacy-preserving ML applications on top of Concrete ML

When to avoid

• you need a general-purpose cryptography toolkit beyond FHE
• your workload cannot tolerate FHE's significant performance overhead
• you need a low-level TFHE library rather than a Python compiler frontend
• you require a permissive OSI license without restrictions (license is BSD-3-Clause-Clear)

Facets

library · maturity active

compiler cryptography security privacy sdk security privacy developer-tools machine-learning python windows cross-platform fhe tfhe homomorphic-encryption llvm mlir encrypted-computation gdpr cryptography linux macos gpu

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For agents

markdown · JSON · MCP: product_card(name="zama-ai/concrete")