Contribution activity and bus factor of electric-capital/crypto-ecosystems

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Active 🚀

Active contributions

Why electric-capital/crypto-ecosystems is active?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

From 8 to 15 commits per week

88%

From 10623 to 14764 additions per week

39%

From 1533 to 5034 deletions per week

228%

Data calculated on 14 Aug, 2024

Bus factor of electric-capital/crypto-ecosystems

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The electric-capital/crypto-ecosystems repository has a bus factor of 35.

Low risk, knowledge is well distributed among the team members

Bus factor was measured on 14 Aug 2024

Repository summary

The electric-capital/crypto-ecosystems is a GitHub repository developed by Electric Capital. This repository provides an open-source data schema and data on key metrics and relationships in the different crypto ecosystems.

The data includes:

The different types of smart contracts, on-chain applications, and other entities native to a particular crypto ecosystem.
Project and protocol information including name, description, website link, categories, and tags.
Developer and contributor interactions with different projects (commits, releases etc.)
Tokens and contract addresses associated with each project.
Social media and communication links.

It is a unique repository as it provides a data-driven perspective of the growth, use cases, and developer activity across different crypto ecosystems.

Remember, the data is sourced from public data and community contributions, and Electric Capital does not guarantee the accuracy or completeness of the data. Always double-check any data used in decision-making processes.