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data/projects/f/FiveToken.yaml

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+version: 7
+name: FiveToken
+display_name: FiveToken
+description: FiveToken is a versatile digital asset management solution available as both a browser extension and a mobile app. It provides users with a keystore, secure login, and token wallet, offering everything needed to manage digital assets efficiently and securely.
+FiveToken ensures a seamless and secure connection with blockchain-based applications, allowing users to maintain control over their interactions on decentralized networks. Passwords and keys are generated directly on the user's device, ensuring exclusive access to accounts and data. Users have complete control over the information they choose to share.
+websites:
+  - url: https://fivetoken.co/
+github:
+  - url: https://github.com/FiveToken

data/projects/f/filecoin-project-venus-wallet.yaml

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+version: 7
+name: filecoin-project-venus-wallet
+display_name: filecoin project venus-wallet
+description: Venus-Wallet is a robust and versatile remote wallet solution, designed to support both Lotus and Venus protocols within the Filecoin ecosystem. It offers secure and efficient management of digital assets, making it an essential tool for SPs.
+github:
+  - url: https://github.com/filecoin-project/venus-wallet

data/projects/f/filecoin-project-venus.yaml

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+version: 7
+name: filecoin-project-venus
+display_name: filecoin project venus
+description: Venus serves as the second implementation of the Filecoin specification, providing essential functionality and becoming increasingly integral within the Filecoin network. Since its debut on January 30th, 2021, Venus has emerged as the second most popular implementation, utilized by around 15% of network node operators. 
+  - url: https://github.com/filecoin-project/venus

data/projects/f/filedag-project-filedag-storage.yaml

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+version: 7
+name: filedag-project-filedag-storage
+display_name: filedag-project filedag-storage
+description: FileDAG Storage is a robust, distributed storage service built on the IPFS technology stack, designed to address challenges that extend beyond the official IPFS implementation. It focuses on data management, reliability, availability, fault tolerance, and the clustering of storage nodes.
+The minimum storage unit in FileDAG Storage is a "dag," or data block, which is organized in a Merkle-DAG structure to minimize data redundancy and conserve network bandwidth—particularly advantageous for multi-version systems. Unlike traditional IPFS, FileDAG supports multiple users sharing the DAG pool, thereby magnifying the benefits of reduced redundancy and bandwidth savings. This, however, adds complexity to data management, a challenge that FileDAG effectively addresses. By utilizing distributed storage nodes and erasure coding technology, FileDAG enhances data reliability and fault tolerance, making it well-suited for commercial storage services.
+github:
+  - url:https://github.com/filedag-project/filedag-storage

data/projects/f/filedrive-team-filejoy.yaml

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+version: 7
+name: filedrive-team-filejoy
+display_name: filedrive-team filejoy
+description: Filejoy is a lightweight IPFS node specifically designed to streamline data transfer among libp2p nodes. By concentrating on a select subset of commands within the IPFS node, Filejoy optimizes data transfer processes, particularly for large datasets, thereby enhancing efficiency and performance.
+Filejoy offers flexibility in storage options, catering to diverse user needs and network configurations. It enables nodes to seamlessly join both public and private IPFS networks, expanding participation and collaboration opportunities.
+As a significant advancement in lightweight IPFS node technology, Filejoy addresses key challenges in data transfer and storage within the IPFS ecosystem. The team is committed to the ongoing development of Filejoy, ensuring it remains an essential tool for enhancing data sharing and storage capabilities.
+github:
+  - url:https://github.com/filedrive-team/filejoy

data/projects/f/filedrive-team-go-ds-cluster.yaml

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+version: 7
+name: filedrive-team-go-ds-cluster
+display_name: filedrive-team go-ds-cluster
+description: Go-DS-Cluster is an innovative project designed to transform distributed key-value datastores into a unified cluster, enhancing the capabilities of IPFS for data sharing. By leveraging the go-datastore implementation, Go-DS-Cluster enables even a single IPFS peer to benefit from distributed storage, significantly improving efficiency and scalability.
+While IPFS is an excellent tool for data sharing, its current implementations are constrained by the I/O limitations of a single PC. Although IPFS-Cluster provides a method to manage pin-sets across multiple peers, it is mainly geared towards data backups and recovery. Go-DS-Cluster envisions a system where even a single IPFS peer can utilize distributed storage, overcoming these limitations and enhancing the overall functionality of IPFS.
+github:
+  - url:https://github.com/filedrive-team/go-ds-cluster

data/projects/f/filedrive-team-go-graphsplit.yaml

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+version: 7
+name: filedrive-team-go-graphsplit
+display_name: filedrive-team go-graphsplit
+description: Go-Graphsplit is a powerful tool designed to efficiently partition large datasets into manageable graph slices, facilitating deal-making in the Filecoin Network. By leveraging advanced data structures and protocols, Go-Graphsplit offers a solution that not only enhances storage efficiency but also improves data retrieval processes. 
+Go-Graphsplit divides large datasets into smaller pieces that fit the sector sizes of 32GiB or 64GiB, optimizing storage deals with miners. This process allows for storing substantial amounts of data, potentially reaching hundreds of TiB in a month. Traditional methods require retrieving and decompressing entire tarballs to access a single file, causing inefficiencies. Graphsplit addresses this by cutting datasets into smaller graphs using the IPLD protocol and Unixfs format. This approach maintains the original file system structure as much as possible, enabling efficient retrieval of individual files using payload CIDs through the Lotus client.Graphsplit generates a manifest.csv file that records the mapping between graph slice names, payload CIDs, piece CIDs, and the internal file structure. This ensures transparency and ease of access to stored data.
+github:
+  - url: https://github.com/filedrive-team/go-graphsplit

data/projects/f/filedrive-team-go-parallel-graphsync.yaml

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+version: 7
+name: filedrive-team-go-parallel-graphsync
+display_name: filedrive-team go-parallel-graphsync
+description: Go-Parallel-GraphSync is an innovative solution designed to enhance data synchronization within the Filecoin Retrieval Market. By addressing the limitations of traditional GraphSync methods, particularly for large files, Go-Parallel-GraphSync optimizes network resource utilization and significantly improves content delivery speed. 
+In the Filecoin Retrieval Market, GraphSync is widely used for data synchronization. While effective for small files, its one-to-one synchronization approach faces challenges with larger files, leading to increased bandwidth load on individual nodes and underutilization of network resources. Go-Parallel-GraphSync offers a dynamic synchronization strategy for large files by enabling parallel downloads from multiple nodes. This approach leverages the availability of duplicate data across nodes and measures synchronization speeds to optimize performance.
+github:
+  - url: https://github.com/filedrive-team/go-parallel-graphsync