ethereum / consensus-specs

Ethereum Proof-of-Stake Consensus Specifications
Creative Commons Zero v1.0 Universal
3.55k stars 963 forks source link

Ethereum Proof-of-Stake Consensus Specifications

Join the chat at https://discord.gg/qGpsxSA

To learn more about proof-of-stake and sharding, see the PoS documentation, sharding documentation and the research compendium.

This repository hosts the current Ethereum proof-of-stake specifications. Discussions about design rationale and proposed changes can be brought up and discussed as issues. Solidified, agreed-upon changes to the spec can be made through pull requests.

Specs

GitHub release PyPI version testgen

Core specifications for Ethereum proof-of-stake clients can be found in specs. These are divided into features. Features are researched and developed in parallel, and then consolidated into sequential upgrades when ready.

Stable Specifications

Seq. Code Name Fork Epoch Specs
0 Phase0 0
1 Altair 74240
2 Bellatrix
("The Merge")
144896
3 Capella 194048
4 Deneb 269568

In-development Specifications

Code Name or Topic Specs Notes
Electra
Sharding (outdated)
Custody Game (outdated) Dependent on sharding
Data Availability Sampling (outdated)

Accompanying documents can be found in specs and include:

Additional specifications for client implementers

Additional specifications and standards outside of requisite client functionality can be found in the following repos:

Design goals

The following are the broad design goals for the Ethereum proof-of-stake consensus specifications:

Useful external resources

For spec contributors

Documentation on the different components used during spec writing can be found here:

Online viewer of the latest release (latest master branch)

Ethereum Consensus Specs

Consensus spec tests

Conformance tests built from the executable python spec are available in the Ethereum Proof-of-Stake Consensus Spec Tests repo. Compressed tarballs are available in releases.

Installation and Usage

The consensus-specs repo can be used by running the tests locally or inside a docker container.

To run the tests locally:

To run the tests inside a docker container: