What is important to note is that the project objectives need to be defined before a set of tools is selected. Web 3.0 technologies promise to solve a host of problems related to payments, decentralized supply chain applications and new business models more efficiently than classic World Wide Web technologies.
Identifying specific goals can help development teams create a short list of appropriate tools, libraries, and applications. And today, we’ve chosen to share with you which are the 10 most promising Web 3.0 development tools according to Tech Target.
1. Alchemy
Alchemy is a Web 3.0 development platform for connecting dApps to blockchains. It includes tools for NFTs, DeFi, wallets, gaming, and integrating Web 2.0 and Web 3.0 apps. It provides a complete developer platform supporting infrastructure, products and debugging.
2. Casper
Casper is a smart contract platform that supports popular Web 2.0 development languages like Rust and WebAssembly. It includes tools that help update smart contracts with bug fixes as well as new features and functionality. It is focused on enterprise use cases to help organizations adopt software development best practices, such as continuous integration and delivery for blockchain apps.
3. Chainlink
Chainlink helps developers implement decentralized blockchain oracles on the Ethereum platform. This capability helps facilitate data exchange with smart contracts that run on the Ethereum blockchain. Key features include support for reliable tamper-proof networks, connection via common APIs and pre-built oracles for various use cases.
4. Chainstack
Chainstack provides a complete set of tools to build, run and scale blockchain apps. It supports all the most popular blockchains and sidechains. It also includes various primitives to help create NFTs and deployed dApps that use decentralized blockchain storage platforms like IPFS. Network management and operations tools help scale blockchain infrastructure for large deployments.
5. Ethernal
Ethernal is an open source blockchain explorer that helps automatically synchronize apps with smart contracts running on various blockchain platforms. Contract integration capabilities also enable developers to write code that interacts with smart contracts. In addition, Ethernal provides multiple tools for instrumenting smart contract code for transaction tracing and for decoding variables used in dApps. It can also integrate with other popular tools like Hardhat.
6. Etherspot
Etherspot is a multichain smart-wallet platform that helps reduce the number of steps needed for Web 3.0 transactions, which can improve the user experience. It also supports various tools for connecting Web 2.0 apps to blockchain networks. Account abstraction is a significant feature, allowing users to execute multiple blockchain transactions with a single click.
7. Fluree
Fluree is an open source blockchain database to help developers integrate legacy data applications into a blockchain. It supports graph databases, analytics and master data management on dApps.
8. Hardhat
Hardhat is an Ethereum development environment with various tools to manage and automate recurring tasks. It allows developers to run Solidity locally and test and debug Solidity code on their laptops before deploying into live dApps. Hardhat also supports features for performing stack traces and generating explicit error messages when problems arise.
9. OpenZeppelin
OpenZeppelin provides an assortment of tools to help developers build, automate and run dApps. OpenZeppelin Contracts is a modular smart contract library that supports industry best practices, while OpenZeppelin Defender provides a secure operations platform for smart contracts.
10. Solidity
Solidity is a popular language for implementing smart contracts. It allows developers to create programs that run on Ethereum Virtual Machine, the runtime environment for executing applications on the Ethereum blockchain. Solidity also supports the Hyperledger Fabric blockchain. Developers often use some of the other tools on this list, like Alchemy, OpenZeppelin and Hardhat to help create and debug Solidity apps.
Overview of the functionality
In Java 6, the library offered preconditions. These methods, which are still in Guava, let you check the preconditions in a method prior to calling a given method.
Guava offers other similar precondition tests, such as checkArgument() and checkPositionIndex(). The latter call, by default, checks for a value between 0 and the maximum size of the given array. Java SE ultimately added similar capability. In Java 7, the Objects class provided a similar set of checks as static methods. In Java 9, the number of test methods was increased significantly.
Collections
Guava grew out of Google Collections, so the set of collections it provides is deep indeed. Since the early days of Java’s Collections class, you could use unmodifiable options, such as Collections.unmodifiableSet and its siblings: list and map. However, it wasn’t until Java 9 that you could create these data structures using fluid method calls such as Map.of, and it was not until Java 10 that you could enjoy Map.copyOf. Guava has offered this kind of functionality for many releases, and so if you’re forced to use releases earlier than Java 10, Guava gives you a solution—and a lot more.
Guava provides immutable variants of all the standard collections (set, list, table, and so on), and it adds some additional, very handy data structures. The first of these is the BiMap, or bidirectional map. A BiMap solves a common problem that occurs with standard maps that are built on conventional key-value pairs: Sometimes you need the values to be keys and the keys to be values. With the BiMap, each entry serves as a key-value pair that can be reversed, so you can use the value to point to a key. The only requirement is that all keys and values be unique. A related and equally useful data structure in Guava is the multimap. This construct solves a problem that occurs routinely in Java programming: a key-value map in which the value is a collection of some kind, such as a list.
Lightweight cache
Guava provides several lightweight versions of features typically used in enterprise applications, including a cache and a publish-subscribe (pub-sub) solution. The cache works as a classic key-value store and cache values are returned if they are present; otherwise, they are computed via callable methods and inserted into the cache. You can configure the eviction method to your preference. Options include eviction based on size, on the absence of references, or on timing. Left to its own devices, the cache evicts on a least-recently used (LRU) basis t. You can manually evict individual entries.
The Guava cache does not use a thread in the background constantly monitoring entries looking for which ones to clean up. It does that maintenance work only on insertions and on reads, meaning that, for example, items can remain in the cache even after their allotted time has expired or when there are no other references to them. Eventually, if there is memory pressure on the cache, those items will be collected and removed. However, if you need a different eviction scheme, you can use the Guava cache API to add your own preferred eviction mechanism.
Extensions to Java primitive data types
In Java’s primitive data types there are no unsigned integers. Guava provides unsigned bytes, integers, and longs. It also provides boxed wrappers for these data types and thoughtfully includes the basic functions you’d expect in support of these types: minimum, maximum, and comparison functions; conversion to BigDecimal; as well as, toString().
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