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- "Open Source metric guide"
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---
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Welcome to the Key Metrics Guide, where we define the main metrics used on our platform to help you better understand them.
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Welcome to the Key Metrics Guide, where we define the main metrics used on our platform to help users better understand them.
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## OSCR
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[OSCR](../glossary/#oscr) stands for Open Source Contributor Rating. It's a way to measure and rate the impact of your open-source contributions over 90 days.
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[OSCR](../glossary/#oscr) stands for Open Source Contributor Rating. It is a way to measure and rate the impact of a user's open-source contributions over 90 days.
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This helps you understand the quality and frequency of your contributions. It's a good way to measure your open source activities and takes into account many factors.
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This metric helps to determine the quality and frequency of a contributor's contributions. It is determined by their ability to engage in conversations about their work and the project, their rate of contributions to the projects they engage with, and the quality of their contributions.
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You can read more about [what it is and how to improve it](../../opensauced-guides/oscr-score-guide/oscr-guide/).
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Read more about [what it is and how to improve it](../../opensauced-guides/oscr-score-guide/oscr-guide/).
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## Contributor Confidence
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[Contributor Confidence](../glossary/#contributor-confidence) is a metric that measures how likely contributors who have interacted with a repository via stars or forks are to contribute in some way. It's measured as a percentage calculated over a specified time range.
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[Contributor Confidence](../glossary/#contributor-confidence) is a metric that measures how likely users who have interacted with a repository via stars or forks are to contribute in some way. It is measured as a percentage calculated over a specified time range.
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This helps you evaluate whether a repository you are interested in provides a good environment for new contributors. A positive score implies that the project is welcoming to new contributors or that those who interact with the project are willing to support the project through contributions.
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This helps potential users understand whether the project welcomes new contributors. A positive score implies that the project is welcoming, that contributions are likely to be accepted, and that participation in the community is nurtured.
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You can read more about [what it is and how it can be interpreted](../../features/repo-pages/#insights-into-contributor-confidence).
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Read more about [what it is and how it can be interpreted](../../features/repo-pages/#insights-into-contributor-confidence).
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## OpenSSF Score
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[The OpenSSF Score](../glossary/#ossf-scorecard) is a metric that measures how secure an open-source project is based on how compliant the repository is to OpenSSF’s standards. It's scored out of 10 and uses [OpenSSF’s CLI tool](https://scorecard.dev/#what-is-openssf-scorecard) under the hood to help calculate this score.
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[OpenSSF](https://openssf.org) refers to the Open Source Security Foundation, a group of security-focused tech professionals who are trying to enable the open-source ecosystem to create safe, open software in compliance with the [EU’s Cyber Resilience Act](https://digital-strategy.ec.europa.eu/en/policies/cyber-resilience-act).
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This helps you evaluate how secure a repository is and how attentive maintainers are to compliance issues. It's also a good metric to evaluate whether or not a repo is secure. Users can see the security scores of all their dependencies.
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This helps users understand and evaluate how secure a repository is and how attentive maintainers are to compliance issues. It is a good metric to consider when contributing to a repository.
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Additionally, you can create [SBOMs (Software Bill of Materials)](../../../features/repo-pages/#create-a-workspace-from-sbom)for projects you use or want to contribute to. This contains a list of all the parts used to build a software including dependencies and libraries. You can read more about [SBOM here](https://opensauced.pizza/blog/security-and-SBOMs).
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Additionally, [SBOMs (Software Bill of Materials)](../../../features/repo-pages/#create-a-workspace-from-sbom)can be created for projects used. This contains a list of all the parts used to build software, including dependencies and libraries. Read more about [SBOM here](https://opensauced.pizza/blog/security-and-SBOMs).
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You can read more about [what it is and why it is important](https://opensauced.pizza/blog/introducing-openssf-scorecard-for-opensauced).
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Read more about [what it is and why it is important](https://opensauced.pizza/blog/introducing-openssf-scorecard-for-opensauced).
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## Lottery Factor
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[Lottery Factor](../glossary/#lottery-factor) is a metric that measures the risk that comes with a project’s dependence on one or a few key contributors. It measures how many pull requests are made by the most active contributors as a percentage.
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This helps you understand whether or not a repository is at risk of abandonment should a key contributor become unavailable. This information is particularly important if you plan on being a long-term contributor or if your project relies on an open-source project for the long term.
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This helps users understand whether a repository is at risk of abandonment should a key contributor become unavailable. This information is particularly important if a contributor plans to remain a long-term contributor or if a project relies on an open-source project for the long term.
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You can read more about [what it is and how it can be interpreted](https://opensauced.pizza/blog/Understanding-the-Lottery-Factor).
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Read more about [what it is and how it can be interpreted](https://opensauced.pizza/blog/Understanding-the-Lottery-Factor).
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## Repositories as a Dataset
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[Repositories as a Dataset](../glossary/#repository-insights) refers to viewing repositories as complete and in-depth information sources. It suggests holistically treating repositories by considering GitHub discussions, issues, and general activity and considering the history of entire repositories.
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In the context of AI and its role in aiding developers, treating Repositories as a dataset helps train more context-aware AI models and makes this information more accessible.
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This is helpful, as having more context around a repository you want to contribute to can make the process of contributing and onboarding much smoother.
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This is helpful, as having more context around a repository can make contributing and onboarding much smoother.
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You can read more about [the case for treating repositories as datasets and why that is important](https://opensauced.pizza/blog/github-repos-as-datasets).
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Read more about [the case for treating repositories as datasets and why that is important](https://opensauced.pizza/blog/github-repos-as-datasets).
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## YOLO Coders
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Using PRs and established means of making code changes reduces the chances of project bugs and preserves project history.
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You can read more about [what it is and why it is not the best practice](https://opensauced.pizza/blog/yolo-coder).
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Read more about [what it is and why it is not the best practice](https://opensauced.pizza/blog/yolo-coder).
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