Software Alternatives & Startups

Screenful Metrics for GitHub VS DevGhost.pro

Compare Screenful Metrics for GitHub VS DevGhost.pro and see what are their differences

Screenful Metrics for GitHub

Analytics for GitHub Issues

Rating
0 reviews
DevGhost.pro

Developer productivity and engineering analytics from Git changes. Estimate development effort against a consistent baseline, compare developer, team and contractor contributions, and track trends. Cloud, local and on-premises deployment options.

Rating
0 reviews
Pricing
Freemium $29 (One-time Local pack: 1,000 credits; 500 free commits/month)

Which is more popular?

Analytics popularity
100% vs 0%
alternatives listed
40 vs 12

Base details

Website, pricing, platforms and company facts side by side.

SMG
Screenful Metrics for GitHub
DevGhost.pro
Website screenful.com devghost.pro
Pricing —
Freemium $29 (One-time Local pack: 1,000 credits; 500 free commits/month) Official pricing
Platforms —
Web Windows MacOS
Company — Startup from Portugal · 1 - 9 employees · 2026
Listed in

About Screenful Metrics for GitHub and DevGhost.pro

In their own words, as submitted to SaaSHub.

SMG
Screenful Metrics for GitHub
DevGhost.pro

No description of Screenful Metrics for GitHub yet.

DevGhost is a developer productivity and engineering analytics platform that helps founders, CTOs, and engineering managers understand work delivered by their teams and development contractors. Git-based effort estimation DevGhost analyzes code changes to estimate development work. Its reference...

Read more about DevGhost.pro

Features and specs

What each product offers, as listed by its team.

SMG
Screenful Metrics for GitHub 4 features
DevGhost.pro 8 features
  • Enhanced Visibility
    Screenful Metrics provides a visual overview of development activity within GitHub, which enhances visibility into project status, progress, and bottlenecks.
  • Customizable Dashboards
    Users can customize dashboards to focus on the metrics that matter most to their team, allowing for a tailored experience and better decision-making.
  • Automated Reporting
    The tool automates the reporting process, saving time and effort while ensuring that stakeholders receive timely updates without manual intervention.
  • Integration Capabilities
    Screenful integrates smoothly with GitHub, pulling in essential data without requiring additional infrastructure or significant configuration.

Possible disadvantages

  • Learning Curve
    New users might encounter a learning curve when navigating the various features and fully utilizing the customization options available.
  • Pricing
    The cost of using Screenful Metrics may be a concern for smaller teams or organizations with limited budgets, as ongoing fees can accumulate.
  • Dependency on GitHub Data
    Since Screenful Metrics relies heavily on data from GitHub, any disruptions or changes in GitHub's API can potentially affect data accuracy and availability.
  • Feature Limitations
    Some users might find that certain advanced features are not as robust as they need, potentially requiring supplementary tools to fill gaps.
  • Development Effort Estimation
    Estimate the substantive work behind Git changes, expressed in reference-developer hours.
  • Developer Productivity Benchmarking
    Compare output against a mid-level developer familiar with the codebase and working without AI
  • Team and Contractor Analytics
    Compare contributions across developers, teams, and external development contractors
  • Productivity Trends
    Track changes over time with individual timelines, repository averages, and trend lines
  • Interactive Git Analytics
    Explore contribution charts and developer breakdowns with selectable periods and contributors
  • Fully Local Analysis
    Run all code analysis and analytics locally, without internet access or external calls. Source code and results stay on your machine.
  • Flexible Deployment
    Choose cloud SaaS, local VS Code/Cursor extensions on Windows and macOS, a Windows desktop beta, or on-premises deployment.
  • VS Code and Cursor Integration
    Analyze local Git repositories from VS Code or Cursor on Windows and macOS.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
SMG
Screenful Metrics for GitHub
DevGhost.pro
100% 100%
0% 0%
57% 57%
43% 43%
63% 63%
37% 37%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Screenful Metrics for GitHub and DevGhost.pro.

What makes your product unique?

DevGhost.pro's answer:

DevGhost estimates the substantive work behind Git changes using a consistent reference: a mid-level developer who knows the codebase and works without AI. This makes contributions comparable beyond commit counts and lines of code. Teams can explore individual output, repository-wide trends, and changes in productivity as development workflows evolve. DevGhost also offers fully local analysis: both code processing and analytics run on your machine, with source code and results staying local.

Why should a person choose your product over its competitors?

DevGhost.pro's answer:

Choose DevGhost when you need to understand the work delivered by a development team or contractor and compare contributions on a shared scale. It combines effort estimates, developer breakdowns, and productivity timelines in an interactive report. This helps founders and engineering leaders connect progress discussions to actual code changes. With cloud, local, and on-premises options, you can choose a deployment model that fits your workflow and confidentiality requirements.

How would you describe the primary audience of your product?

DevGhost.pro's answer:

DevGhost is built for founders, CTOs, engineering managers, and product owners who need visibility into software development. It is especially useful for organizations working with outsourced development teams, agencies, or freelancers, and for leaders trying to understand how AI-assisted development is changing their team's output.

What's the story behind your product?

DevGhost.pro's answer:

DevGhost is built around a simple question: how much substantive work is actually being delivered? Busy teams, frequent commits, and detailed status reports do not always make that clear. AI-assisted development makes the question even more important, as one developer's output can change dramatically. DevGhost brings code changes onto a common reference scale so founders and engineering leaders can see contributions, follow trends, and have more concrete conversations about delivery.

Who are some of the biggest customers of your product?

DevGhost.pro's answer:

We do not publish customer names. Engineering productivity and team contribution data can be sensitive, particularly when it involves individual developers or external contractors. We respect the confidentiality of these assessments and the reputations of the people and organizations involved.

Which are the primary technologies used for building your product?

DevGhost.pro's answer:

DevGhost is built with TypeScript, React, Next.js, and Node.js. Its Python analysis engine uses Git, Tree-sitter, NumPy, and scikit-learn to process and analyze code changes. The web platform uses PostgreSQL with Prisma, while the local edition uses SQLite. The VS Code and Cursor extension combines TypeScript with React-based webviews. The Windows desktop application is built with Electron and shares the local analysis engine. Cloud and on-premises deployment options are supported through Modal and Docker-based infrastructure.

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Alternatives to Screenful Metrics for GitHub and DevGhost.pro

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