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JS7 JobSchedulerJS7 JobScheduler is an open-source workload automation platform engineered for both high performance and durability. It adheres to cutting-edge security protocols, enabling limitless capacity for executing jobs and workflows in parallel. Additionally, JS7 facilitates cross-platform job execution and managed file transfers while supporting intricate dependencies without requiring any programming skills. The JS7 REST-API streamlines automation for inventory management and job oversight, enhancing operational efficiency. Capable of managing thousands of agents simultaneously across diverse platforms, JS7 truly excels in its versatility. Platforms supported by JS7 range from cloud environments like Docker®, OpenShift®, and Kubernetes® to traditional on-premises setups, accommodating systems such as Windows®, Linux®, AIX®, Solaris®, and macOS®. Moreover, it seamlessly integrates hybrid cloud and on-premises functionalities, making it adaptable to various organizational needs. The user interface of JS7 features a contemporary GUI that embraces a no-code methodology for managing inventory, monitoring, and controlling operations through web browsers. It provides near-real-time updates, ensuring immediate visibility into status changes and job log outputs. With multi-client support and role-based access management, users can confidently navigate the system, which also includes OIDC authentication and LDAP integration for enhanced security. In terms of high availability, JS7 guarantees redundancy and resilience through its asynchronous architecture and self-managing agents, while the clustering of all JS7 products enables automatic failover and manual switch-over capabilities, ensuring uninterrupted service. This comprehensive approach positions JS7 as a robust solution for organizations seeking dependable workload automation.
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Identify vulnerabilities in your codebase with CodeQL, a top-tier semantic analysis tool designed for code evaluation. CodeQL allows you to analyze code as data, facilitating the creation of queries that can detect every variant of a security flaw, ultimately ensuring its complete eradication. By disseminating your discoveries, you can aid others in this essential endeavor. This powerful tool is freely available for both research initiatives and open source projects. With CodeQL seamlessly integrated into Visual Studio Code, you can run actual queries against popular open source codebases, witnessing firsthand how effectively it can highlight poor coding practices and identify similar issues throughout the entire codebase. Additionally, you have the flexibility to construct your own CodeQL databases for any project adhering to an OSI-approved open source license. It is crucial to understand that GitHub CodeQL is limited to application on codebases that are either released under an OSI-approved open source license, used for academic purposes, or leveraged to create CodeQL databases for automated analysis. To initiate your journey, simply download and incorporate the relevant CodeQL database into VS Code, or generate a CodeQL database via the command-line interface, which will significantly enhance your code's security. By utilizing CodeQL, you not only bolster your own project but also contribute to fostering a more secure coding landscape for the entire developer community. This collaborative effort ultimately leads to greater code quality and a safer environment for all.
What is CodeDD?
CodeDD is an innovative AI-driven platform that automates the complex process of technical Due Diligence for software investments, offering a secure and transparent alternative to traditional manual reviews. It empowers M&A professionals, investment managers, and software procurement teams with a self-service tool to audit both internal and external codebases comprehensively and efficiently. Leveraging cutting-edge Large Language Models, CodeDD delivers clear, actionable insights and generates easy-to-understand reports that help stakeholders make informed decisions quickly and cost-effectively. The platform can audit any code repository by evaluating over 40 distinct quality parameters, ensuring a thorough assessment of software quality and risk factors. It flags security vulnerabilities in detail, complete with estimated fix times to assist teams in prioritizing remediation efforts effectively. CodeDD’s dependency analysis covers more than 2 million software packages, revealing important details about external libraries, their licenses, and potential security threats. Its file-level insights enable deep inspection of individual files to provide a comprehensive overview without exposing proprietary source code, maintaining confidentiality. The platform combines the power of AI with an extensive knowledge base to streamline due diligence workflows and reduce human error. Designed for speed, accuracy, and cost-efficiency, CodeDD helps organizations mitigate risks and increase confidence in software investments. Ultimately, it is a transformative tool that elevates technical Due Diligence through automation, transparency, and advanced AI technology.
Media
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Integrations Supported
API Availability
Has API
API Availability
Pricing Information
Free
Free Version
Pricing Information
$250 per software audit
Free Trial Offered?
Supported Platforms
Windows
Mac
Linux
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
GitHub
Date Founded
2008
Company Location
United States
Company Website
codeql.github.com
Company Facts
Organization Name
CodeDD
Date Founded
2024
Company Location
Austria
Company Website
codedd.ai/
Categories and Features
Static Code Analysis
Not specified
Categories and Features
Static Code Analysis
Not specified