Search Results for "information"

sn0int is a semi-automatic OSINT framework and package manager. It was built for IT security professionals and bug hunters to gather intelligence about a given target or about yourself. sn0int is enumerating attack surfaces by semi-automatically processing public information and mapping the results in a unified format for follow-up investigations. sn0int is heavily inspired by recon-ng and maltego, but remains more flexible and is fully opensource. None of the investigations listed above...

Lighthouse is an Ethereum consensus client that connects to other Ethereum consensus clients to form a resilient and decentralized proof-of-stake blockchain. Lighthouse is available on Linux and macOS via the Homebrew package manager. We implement the specification as defined in the ethereum/consensus-specs repository. Becoming an Ethereum consensus validator is rewarding, but it's not for the faint of heart. You'll need to be familiar with the rules of staking (e.g., rewards, penalties,...

... and stops when the actor finishes. Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. Here we use the #[actix::main] attribute as an easier way to start our System and drive our main function.

The Graph is an indexing protocol for querying networks like Ethereum and IPFS. Anyone can build and publish open APIs, called subgraphs, making data easily accessible. Subgraphs can be composed into a global graph of all the world's public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering...

... aggregates and optimizes the data requirements for your entire app, so that they can be efficiently fetched in a single GraphQL request. Relay handles the heavy lifting to ensure the data declared by your components is fetched in the most efficient way. For example, by deduplicating identical fields, and precomputing information used at runtime, among other optimizations. Relay also supports executing GraphQL Mutations, optionally with optimistic updates, and updates to local data.

Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...