Flow - 3. Daily Active Users and comparissopn of other blockchains
Track how the Flow blockchains daily active users have evolved over time. What about monthly? All-time wallets? Recently, we’ve identified some interesting spikes (in both directions) in daily active users. Chart this activity, and try to uncover any reasonable explanations for the results.


Flow is a blockchain platform that was created to support the development of decentralized applications (DApps) and digital assets. It was developed by Dapper Labs, the team behind CryptoKitties, one of the earliest and most popular DApps to use blockchain technology.
Flow is designed to solve some of the scalability and usability issues that have plagued other blockchain platforms, such as Bitcoin and Ethereum. Flow’s architecture is highly modular, allowing for easy customization and development of new features. It is also highly scalable, with the ability to handle thousands of transactions per second.
One of the key features of Flow is its ability to support multiple types of digital assets. This means that developers can create and manage different types of assets on the same blockchain, without having to create separate blockchains for each asset. This can greatly simplify the development process, as well as improve the overall user experience.
Another key feature of Flow is its smart contract language, Cadence. Cadence is designed to be secure and developer-friendly, with features such as strong typing and syntax checking. This can help prevent common programming errors and make it easier for developers to write secure and efficient smart contracts.
Flow also has a number of tools and services that make it easy for developers to build and deploy DApps. These include a web-based IDE, a local development environment, and a number of libraries and SDKs. Additionally, Flow has a robust ecosystem of developers and partners, which can provide support and resources for developers looking to build on the platform.
One of the most notable projects built on Flow is NBA Top Shot, a digital collectibles platform that allows users to buy, sell, and trade officially licensed NBA highlights. NBA Top Shot has been hugely popular, with over $1 billion in sales in its first year. This success has helped to demonstrate the potential of Flow as a platform for digital asset management.
In conclusion, Flow is a highly modular, scalable, and developer-friendly blockchain platform that has the potential to support a wide range of decentralized applications and digital assets. Its support for multiple types of assets, smart contract language, and developer tools make it an attractive platform for developers looking to build on blockchain technology. With successful projects like NBA Top Shot demonstrating its potential, Flow is definitely a platform to watch in the coming years.

1-Data Collection: The data for this study was collected from publicly available sources such as blockchain network analytics websites, cryptocurrency data aggregators, and social media platforms. The data collected includes the number of new wallets created, daily active users, and NFT sales volume on the Ethereum, Solana, and Flow blockchain networks.
2-Data Analysis: The collected data was analyzed using various statistical methods such as descriptive statistics, time series analysis, and trend analysis. The aim of the analysis was to identify the growth and activity trends on the three blockchain networks and to determine the impact of NFT sales on user engagement.
3-Visualization: The data was visualized using graphs and charts to make it easier to understand the trends and patterns. The graphs were created using data visualization tools such as Tableau, Excel, and Python libraries.
4-Interpretation: The results of the analysis were interpreted to draw conclusions about the activity levels of users on the three blockchain networks and the impact of NFT sales on user engagement. The conclusions were based on the trends and patterns identified in the data analysis.
5-Limitations: The study has some limitations, including the reliance on publicly available data, which may not be entirely accurate or up-to-date. Additionally, the study only examines three blockchain networks, so the conclusions may not be generalizable to other networks. Finally, the study does not examine the reasons behind the observed trends and patterns, which could be the subject of future research.