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BEAGLE
A high-performance library that can perform the core calculations at the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It makes use of highly-parallel processors such as GPUs.
- Founded
- Not disclosed
- Headquarters
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- Company size
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- Products tracked
- 1
Products by BEAGLE
Customer voice
Customer testimonials
Quotes published on BEAGLE's official website.
GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.
GitHub's endless plug-ins, beautiful UI, and optimized workflows make devs happy. Happy and empowered engineers write the best code, make better decisions, and have more time to innovate.
At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.
Customer outcomes
Case studies
Selected customer stories from BEAGLE.
How AstraZeneca accelerates medicine discovery with GitHub and AI.
Read case studyHow GM accelerated software delivery and strengthened engineering culture with GitHub.
Read case studyCathay embraces AI-powered development to deliver securely at scale.
Read case studyPricing for BEAGLE
Contact sales
Contact BEAGLE for current plans, volume pricing, and enterprise terms.
Trust profile
Security and compliance
No compliance claims have been published for this company.
Latest updates from BEAGLE
New featurePartnership
Claude Opus 5 integrated into GitHub Copilot
GitHub has integrated Anthropic's Claude Opus 5 model into GitHub Copilot. The model is optimized for complex, autonomous coding workflows and is now available to Copilot Pro+, Max, Business, and Enterprise users across multiple environments, including VS Code, CLI, and mobile apps. Administrators must enable the specific policy within Copilot settings to grant user access.
PartnerAnthropic
New feature
Multi-select fields introduced for GitHub Projects and Issues
GitHub has launched multi-select fields for Projects and Issues in public preview. This update allows users to apply multiple values to a single field, facilitating better organization by enabling items to be categorized by multiple teams, labels, or modules simultaneously. Users can configure this by selecting the multi-select field type when creating or editing project fields.
New feature
GitHub Mobile adds automated fix for CI failures
GitHub introduced a feature to mobile devices allowing users to fix failing GitHub Actions checks using the Copilot coding agent. When a failure occurs on a pull request, users can select 'Fix with Copilot' from within the GitHub Mobile app on iOS or Android. The agent then analyzes the failure, creates a new pull request with the proposed fix, and tags the user for final review to keep development workflows moving remotely.
New feature
GitHub MCP Server updated for upcoming stateless protocol
GitHub updated its MCP Server to support the upcoming stateless MCP (Model Context Protocol) specification, which goes into effect on July 28, 2026. The updates, focused on scalability and simplified connection protocols, include removing Redis-based session storage and avoiding deep packet inspection by utilizing HTTP headers. The implementation uses the official Go SDK to ensure backwards compatibility.
New featurePartnership
Copilot cloud agent for Linear reached general availability
The Copilot cloud agent for Linear is now generally available, allowing users to assign GitHub issues directly to the autonomous agent. The agent analyzes issues, creates draft pull requests, and provides progress updates within the Linear activity timeline. Users can now control agent behavior, such as model selection, branching, and custom agent application, directly from their Linear workspace. Access requires the GitHub Copilot for Linear app.
PartnerLinear