base on gnark is a fast zk-SNARK library that offers a high-level API to design circuits. The library is open source and developed under the Apache 2.0 license # `gnark` zk-SNARK library
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`gnark` is a fast zk-SNARK library that offers a high-level API to design circuits. The library is open source and developed under the Apache 2.0 license.
`gnark` uses [`gnark-crypto`] for the finite-field arithmetic and out-circuit implementation of cryptographic algorithms.
`gnark` powers [`Linea zk-rollup`](https://linea.build). Include your project in the [known users](docs/KNOWN_USERS.md) section by opening a PR.
## Useful Links
* [`gnark` User Documentation]
* [`gnark` Playground]
* [`gnark` Issues]
* [`gnark` Benchmarks](https://docs.gnark.consensys.net/overview#gnark-is-fast) 🏁
* [`gnark-announce`] - Announcement list for new releases and security patches
## `gnark` Users
To get started with `gnark` and write your first circuit, follow [these instructions][`gnark` User Documentation].
Checkout the [online playground][`gnark` Playground] to compile circuits and visualize constraint systems.
## Security
**`gnark` and [`gnark-crypto`] have been [extensively audited](#audits), but are provided as-is, we make no guarantees or warranties to its safety and reliability. In particular, `gnark` makes no security guarantees such as constant time implementation or side-channel attack resistance.**
**To report a security bug, please refer to [`gnark` Security Policy](SECURITY.md).**
Refer to [known security advisories](https://github.com/Consensys/gnark/security/advisories?state=published) for a list of known security issues.
## Testing
`gnark` employs the following testing procedures:
* unit testing - we test the primitives in unit tests
* circuit testing - we test the circuit implementation against several targets:
- test engine - instead of running the full prover and verifier stack, we run the computations only to ensure the completeness of the circuits
- proof engines - we compile the circuits, run the setup, prove and verify using native implementation
- Solidity verifier - in addition to the previous, we verify the proofs in Solidity verifier. See [`gnark-solidity-checker`]
* regression testing - we have implemented [tests for reported issues](internal/regression_tests) to avoid regressions
* constraint count testing - we have implemented [circuit size tests](internal/stats) to avoid regressions
* serialization testing - we check that [serialization round-trip is complete](io/roundtrip.go)
* side-effect testing - we check that circuit [compilation is deterministic](test/assert.go)
* fuzz testing:
- circuit input fuzzing - we provide random inputs to the circuit to cause solver error
- native input fuzzing - we provide random inputs to various native methods to cause errors. We have also stored initial fuzzing corpus for regression tests.
- circuit definition fuzzing - we cooperate with Consensys Diligence to fuzz the circuit definitions to find bugs in the `gnark` circuit compiler.
The tests are automatically run during every PR and merge commit. We run full test suite only for the Linux on `amd64` target, but run short tests both for Windows target (`amd64`) and macOS target (`arm64`).
## Performance
`gnark` and `gnark-crypto` packages are optimized for 64bits architectures (x86 `amd64`) using assembly operations. We have generic implementation of the same arithmetic algorithms for ARM backends (`arm64`). We do not implement vector operations.
## Backwards compatibility
`gnark` tries to be backwards compatible when possible, however we do not guarantee that serialized object formats are static over different versions of `gnark`. Particularly - we do not have versioning implemented in the serialized formats, so using files between different versions of gnark may lead to undefined behaviour or even crash the program.
## Issues
`gnark` issues are tracked [in the GitHub issues tab][`gnark` Issues].
**To report a security bug, please refer to [`gnark` Security Policy](SECURITY.md).**
If you have any questions, queries or comments, [GitHub discussions] is the place to find us.
You can also get in touch directly:
[email protected]
## Release Notes
[Release Notes](CHANGELOG.md)
## Audits
* [Kudelski Security - October 2022 - gnark-crypto (contracted by Algorand Foundation)](audits/2022-10%20-%20Kudelski%20-%20gnark-crypto.pdf)
* [Sigma Prime - May 2023 - gnark-crypto KZG (contracted by Ethereum Foundation)](audits/2024-05%20-%20Sigma%20Prime%20-%20kzg.pdf)
* [Consensys Diligence - June 2023 - gnark PLONK Solidity verifier](https://consensys.io/diligence/audits/2023/06/linea-plonk-verifier/)
* [LeastAuthority - August 2023 - gnark Groth16 Solidity verifier template (contracted by Worldcoin)](https://leastauthority.com/wp-content/uploads/2023/08/Worldcoin_Groth16_Verifier_in_EVM_Smart_Contract_Final_Audit_Report.pdf)
* [OpenZeppelin - November 2023 - gnark PLONK Solidity verifier template](https://blog.openzeppelin.com/linea-verifier-audit-1)
* [ZKSecurity.xyz - May 2024 - gnark standard library](audits/2024-05%20-%20zksecurity%20-%20gnark%20std.pdf)
* [OpenZeppelin - June 2024 - gnark PLONK prover and verifier](https://blog.openzeppelin.com/linea-prover-audit)
* [LeastAuthority - September 2024 - gnark general and GKR](audits/2024-09%20-%20Least%20Authority%20-%20arithm%20and%20GKR.pdf)
* [LeastAuthority - November 2024 - Linea zkEVM](audits/2024-11%20-%20Least%20Authority%20-%20Linea%20zkEVM.pdf)
## Proving schemes and curves
Refer to [Proving schemes and curves] for more details.
`gnark` support the following zk-SNARKs:
- [x] [Groth16](https://eprint.iacr.org/2016/260)
- [x] [PlonK](https://eprint.iacr.org/2019/953)
which can be instantiated with the following curves
- [x] BN254
- [x] BLS12-381
- [x] BLS12-377
- [x] BW6-761
- [x] BLS24-315
- [x] BW6-633
- [x] BLS24-317
### Example
Refer to the [`gnark` User Documentation]
Here is what `x**3 + x + 5 = y` looks like
```golang
package main
import (
"github.com/consensys/gnark-crypto/ecc"
"github.com/consensys/gnark/backend/groth16"
"github.com/consensys/gnark/frontend"
"github.com/consensys/gnark/frontend/cs/r1cs"
)
// CubicCircuit defines a simple circuit
// x**3 + x + 5 == y
type CubicCircuit struct {
// struct tags on a variable is optional
// default uses variable name and secret visibility.
X frontend.Variable `gnark:"x"`
Y frontend.Variable `gnark:",public"`
}
// Define declares the circuit constraints
// x**3 + x + 5 == y
func (circuit *CubicCircuit) Define(api frontend.API) error {
x3 := api.Mul(circuit.X, circuit.X, circuit.X)
api.AssertIsEqual(circuit.Y, api.Add(x3, circuit.X, 5))
return nil
}
func main() {
// compiles our circuit into a R1CS
var circuit CubicCircuit
ccs, _ := frontend.Compile(ecc.BN254.ScalarField(), r1cs.NewBuilder, &circuit)
// groth16 zkSNARK: Setup
pk, vk, _ := groth16.Setup(ccs)
// witness definition
assignment := CubicCircuit{X: 3, Y: 35}
witness, _ := frontend.NewWitness(&assignment, ecc.BN254.ScalarField())
publicWitness, _ := witness.Public()
// groth16: Prove & Verify
proof, _ := groth16.Prove(ccs, pk, witness)
groth16.Verify(proof, vk, publicWitness)
}
```
### GPU Support
#### ICICLE Library
The following schemes and curves support experimental use of Ingonyama's ICICLE GPU library for low level zk-SNARK primitives such as MSM, NTT, and polynomial operations:
- [x] [Groth16](https://eprint.iacr.org/2016/260)
instantiated with the following curve(s)
- [x] BN254
To use GPUs, add the `icicle` buildtag to your build/run commands, e.g. `go run -tags=icicle main.go`.
You can then toggle on or off icicle acceleration by providing the `WithIcicleAcceleration` backend ProverOption:
```go
// toggle on
proofIci, err := groth16.Prove(ccs, pk, secretWitness, backend.WithIcicleAcceleration())
// toggle off
proof, err := groth16.Prove(ccs, pk, secretWitness)
```
For more information about prerequisites see the [ICICLE repo](https://github.com/ingonyama-zk/icicle). **NB! ICICLE CUDA kernels are covered by a special license for now. Follow the instructions to download and set up the kernels.**
## Citing
If you use `gnark` in your research a citation would be appreciated.
Please use the following BibTeX to cite the most recent release.
```bib
@software{gnark-v0.11.0,
author = {Gautam Botrel and
Thomas Piellard and
Youssef El Housni and
Ivo Kubjas and
Arya Tabaie},
title = {Consensys/gnark: v0.11.0},
month = sep,
year = 2024,
publisher = {Zenodo},
version = {v0.11.0},
doi = {10.5281/zenodo.5819104},
url = {https://doi.org/10.5281/zenodo.5819104}
}
```
## Contributing
Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our [code of conduct](CODE_OF_CONDUCT.md), and the process for submitting pull requests to us.
## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/Consensys/gnark/tags).
## License
This project is licensed under the Apache 2 License - see the [LICENSE](LICENSE) file for details
[`gnark` Issues]: https://github.com/Consensys/gnark/issues
[`gnark` Playground]: https://play.gnark.io
[`gnark` User Documentation]: https://docs.gnark.consensys.net/
[GitHub discussions]: https://github.com/Consensys/gnark/discussions
[Proving schemes and curves]: https://docs.gnark.consensys.net/Concepts/schemes_curves
[`gnark-announce`]: https://groups.google.com/g/gnark-announce
[@gnark_team]: https://twitter.com/gnark_team
[`gnark-crypto`]: https://github.com/Consensys/gnark-crypto
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