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CADISHI
CADISHI (CAlculation of DIStance HIstograms) is a software package that enables scientists to compute Euclidean distance histograms efficiently from sets of objects with 3D Cartesian coordinates, e.g., atoms in molecular dynamics datasets or galaxies in astrophysical contexts.
- Founded
- Not disclosed
- Headquarters
- Not disclosed
- Company size
- Not disclosed
- Products tracked
- 1
Products by CADISHI
Pricing for CADISHI
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Contact CADISHI for current plans, volume pricing, and enterprise terms.
- Starting price
- CADISHI is installed locally as an open-source package.
Trust profile
Security and compliance
No compliance claims have been published for this company.
Latest updates from CADISHI
New feature
Claude Opus 5 Model Available in GitHub Copilot
Anthropic’s Claude Opus 5 model is now available within GitHub Copilot. The model is designed for complex, agentic coding tasks requiring multi-step reasoning, tool coordination, and regression verification. It includes enhanced security safeguards for cyber-content. The update is gradually rolling out to users on Copilot Pro+, Max, Business, and Enterprise plans across multiple platforms, including Visual Studio Code, JetBrains, and mobile apps. Administrators for business and enterprise accounts must enable the model in their settings.
PartnerAnthropic
New feature
GitHub Mobile Adds Automated CI Fixes via Copilot
GitHub Mobile now enables users to use the Copilot coding agent to automatically investigate and fix failing GitHub Actions checks directly from the mobile app. When a CI check fails on a pull request, users can select the 'Fix with Copilot' option, which initiates an automated workflow to analyze the failure, create a new branch with a proposed fix, and tag the user for code review. This feature is available on the latest production builds of the GitHub Mobile app for iOS and Android.
Company news
GitHub MCP Server Updated for Stateless Protocol Specification
GitHub has updated its GitHub MCP (Model Context Protocol) Server to support the upcoming stateless MCP specification ahead of its July 28, 2026 release. The new protocol improves scalability and connection performance by removing session tracking and replacing it with parallelized handshakes and stateless HTTP requests. The server update includes adjustments to security inspection methods, removing dependency on payload scanning in favor of HTTP headers. The implementation uses the official Go SDK to ensure continued compatibility for developers building agentic workflows.
MentionedGoogle
New featurePartnership
GitHub Copilot Cloud Agent Integrates with Linear
The GitHub Copilot cloud agent integration for Linear is now generally available. Users can assign Linear issues directly to the Copilot agent, which performs asynchronous, autonomous work including analyzing issues, creating draft pull requests, and streaming progress updates directly back to the Linear activity timeline. The agent configuration supports custom models, custom agents, and branch selection for improved workflow alignment. Installation is managed via the GitHub Marketplace for Copilot Pro, Pro+, Business, and Enterprise customers.
PartnerLinear