ActivePython
ActiveState Python ensures security and integrity with 100% compatibility with community Python, built from vetted source code using a secure, SLSA-compliant build service.
Sleuth's AI-powered engineering intelligence platform drives better business outcomes by aligning engineering with business goals and optimizing developer productivity.

Sleuth is an AI-powered engineering intelligence platform designed to improve software delivery performance. It helps engineering teams align their work with business objectives, ensure predictable delivery, and remove obstacles to coding. Sleuth captures relevant metrics from various development tools, providing visibility into the status and progress of development work. It helps identify blockers, bottlenecks, and patterns to optimize developer experience and quantify the business impact of engineering efforts. The platform is targeted towards executives, managers, and developers, enabling them to make data-driven decisions and improve the efficiency and effectiveness of their software development process.
Sleuth is an AI-powered engineering intelligence platform designed to improve software delivery performance.
Explore all tools that specialize in track and visualize dora metrics. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Explore all tools that specialize in identify bottlenecks in the software delivery pipeline. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Explore all tools that specialize in measure the impact of deployments. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Explore all tools that specialize in improve developer experience. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Explore all tools that specialize in align engineering goals with business objectives. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Explore all tools that specialize in ensure predictable software delivery. This domain focus ensures Sleuth delivers optimized results for this specific requirement.
Automatically collects and calculates DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Time to Restore Service) from connected tools.
Analyzes the impact of deployments on key business metrics, helping teams understand the ROI of their work.
Identifies bottlenecks in the software delivery pipeline using machine learning algorithms.
Collects data on developer satisfaction and identifies frictions in their everyday work.
Allows users to create custom dashboards to visualize the metrics that are most important to them.
Create an account at https://sleuth.io.
Connect Sleuth to your source control repository (e.g., GitHub, GitLab, Bitbucket).
Integrate Sleuth with your CI/CD pipeline (e.g., Jenkins, CircleCI, Azure Pipelines).
Configure deployment tracking to monitor releases.
Set up issue tracker integration (e.g., Jira, Linear).
Customize dashboards to visualize key metrics.
Invite team members to collaborate on Sleuth.
All Set
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Verified feedback from other users.
"Sleuth helps teams understand how effective and efficient their engineering has been, identifying opportunities for improvement, and measuring the impact of work relative to investments made."
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ActiveState Python ensures security and integrity with 100% compatibility with community Python, built from vetted source code using a secure, SLSA-compliant build service.

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