23 results for “topic:indexers”
Modular framework for creating selective indexers and featureful backends for dapps
The Graph Hub is a free, open-source and community-driven knowledge base and documentation initiative on The Graph Protocol. The vision of The Graph Academy is to establish a single go-to-resource for essential information about The Graph Protocol.
Rewrite of indexer-service in Rust with TAP payments implementation
POI Radio monitors subgraph data integrity in real time using Graphcast SDK
transaction indexer and utilities for ethereum based blockchain
Gossip about Subgraphs with other Graph Protocol Indexers
Smart Contract for the NetSepio dVPN Protocol
Rust implementation of Subfile Data Service
Configuration Tool for a HTPC download box
Indexers to fetch data from blockchain events and transactions data with their parameters
Infrastructure Working Group
Directory indexer
CLI for Graphcast
Monitor gossip on Graphcast
Dashboard to monitor subgraph activity and network health in The Graph ecosystem.
A real-time NFT data analytics platform for brands, businesses, NFT project managers & NFT studios. Ethereum, Polygon, Solana, Avax, & Tezos blockchains + marketplaces - OpenSea, Rarible & Magic Eden. Discovery, tracking, whales, news, community metrics, competitive insights, API tools. (README only)
The Convict Management Console Application is a simple C# application designed to demonstrate the usage of indexers and property accessors in object-oriented programming. It showcases how to interact with objects using both index-based and attribute name-based accessors, providing a practical example of accessing and modifying object properties.
Weeks 40&41&42&43 Homeworks in IT STEP Academy
An experimental MCP service for Azure AI Search in Python
Development Stack for Ethereum compatible chains (including CDK-Erigon based chains/rollups)
Indexers practice in csharp
No description provided.
Experiments with web crawling, scraping, and indexing a collection of web documents. Clustering the indexed data with k-means algorithm. Each resulting cluster is assigned a sentiment score using AFINN - a sentiment analysis script.