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EDDY
EDDY (Evaluation of Differential DependencY) is an algorithm developed by the Biocomputing Lab at TGen and maintained at the CRI Center for Computational Systems Biology at Prairie View A&M University.
- Founded
- Not disclosed
- Headquarters
- Not disclosed
- Company size
- Not disclosed
- Products tracked
- 1
Products by EDDY
Pricing for EDDY
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Security and compliance
No compliance claims have been published for this company.
Latest updates from EDDY
New feature
Claude Opus 5 added to GitHub Copilot
GitHub has integrated Anthropic's Claude Opus 5 model into GitHub Copilot. This model is engineered for complex, agentic coding tasks, including autonomous code modifications, regression verification, and multi-step tool orchestration. Claude Opus 5 includes upgraded cyber-security safeguards and is available to Copilot Pro+, Max, Business, and Enterprise users across multiple interfaces, including VS Code, GitHub Mobile, and the Copilot CLI. The model is billed under existing usage-based pricing models, and administrators can manage access via policy controls.
PartnerAnthropic
New feature
GitHub Mobile adds Copilot-powered CI fix capability
GitHub has updated its mobile applications on iOS and Android to allow users to troubleshoot and fix failed GitHub Actions checks using the Copilot coding agent. When a CI check fails, users can trigger an automated investigation and fix attempt directly from the mobile app. The agent creates a new pull request containing the proposed fix for review, enabling users to manage CI resolution workflows remotely.
New feature
GitHub MCP Server updated for stateless protocol support
GitHub has updated its Model Context Protocol (MCP) Server to support the upcoming stateless MCP specification ahead of its July 28, 2026 release. The update removes session-based dependencies and integrates improved elicitation mechanisms for easier authenticated access. These changes are intended to improve scalability and connection speeds for MCP-based agentic workflows, while concurrently adding official conformance tests to assist in verifying AI-generated outputs.
New featurePartnership
Copilot cloud agent integration for Linear released
The Copilot cloud agent for Linear is now generally available, allowing users to assign Linear issues directly to an autonomous, asynchronous agent. The agent analyzes issue contents, creates draft pull requests, executes tasks in ephemeral GitHub Actions environments, and provides progress updates within the Linear interface. Users may configure model selection, custom agents, and branch settings per issue or at the workspace level. The integration requires the GitHub Copilot for Linear app available via the GitHub Marketplace.
PartnerLinear