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microsoft

microsoft/qlib

Newly Added

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Feedback Compare

Contributor Distribution

Core Team PRs
Percentage of PRs created by the core team
53.0%
Community PRs
Percentage of PRs created by the community
47.0%
Bot PRs
Percentage of PRs created by bots
0.0%
Distribution of pull requests by the author's role. Core team includes all admins, members, and collaborators.

Review-Merge Coverage

Review-Merge Rate
Percentage of merged PRs that received reviews
23.0%

Review Coverage

Percentage of pull requests that received reviews before being merged.

Merge Time

Overall Median Merge Time
Median time from PR creation to merge
2.7 days
Distribution of time taken for pull requests to merge from creation.

Request Approval Time

No approval time data available

PR Approval Time by Size

Median time between review request and approval for pull requests by size. Only pull requests with requested reviews are included.

Bot Activity

No bot activity data available
Breakdown of the types of bot activity to help understand the nature of automation and AI usage.

Review Funnel

Review Rate
Percentage of PRs that received reviews
23.0%
Approval Rate
Percentage of reviewed PRs that were approved
4.3%
Progression of pull requests from creation through review to approval.

Review Turnaround

Turnaround Time
Median time to first review
1.5 days
Reviewed in an Hour
PRs that received a review within 1 hour
13.0%

Review Turnaround Distribution

Time required to receive the first review on pull requests. If no review request exists, measures from pull request creation.

Review Wait Time

Overall Median Wait Time
Median overall wait time per PR
0 seconds
Wait time distribution among pull request stages to help identify bottlenecks and improve collaboration.